cvtest

iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.0	W_numbers = 0.0	
====================================Total Extracted: 0
Total Correct: 0
Total Facts in the Corpus: 274
Precision = NaN, Recall = 0.0, F-Score = NaN
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = INF, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 62)
Relation = AGL, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.0	W_numbers = 0.1	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.0	W_numbers = 0.2	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.0	W_numbers = 0.30000000000000004	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.0	W_numbers = 0.4	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.0	W_numbers = 0.5	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.0	W_numbers = 0.6	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.0	W_numbers = 0.7	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.0	W_numbers = 0.7999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.0	W_numbers = 0.8999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.0	W_numbers = 0.9999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.1	W_numbers = 0.0	
====================================Total Extracted: 0
Total Correct: 0
Total Facts in the Corpus: 274
Precision = NaN, Recall = 0.0, F-Score = NaN
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = INF, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 62)
Relation = AGL, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.1	W_numbers = 0.1	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.1	W_numbers = 0.2	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.1	W_numbers = 0.30000000000000004	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.1	W_numbers = 0.4	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.1	W_numbers = 0.5	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.1	W_numbers = 0.6	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.1	W_numbers = 0.7	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.1	W_numbers = 0.7999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.1	W_numbers = 0.8999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.1	W_numbers = 0.9999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.2	W_numbers = 0.0	
====================================Total Extracted: 0
Total Correct: 0
Total Facts in the Corpus: 274
Precision = NaN, Recall = 0.0, F-Score = NaN
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = INF, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 62)
Relation = AGL, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.2	W_numbers = 0.1	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.2	W_numbers = 0.2	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.2	W_numbers = 0.30000000000000004	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.2	W_numbers = 0.4	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.2	W_numbers = 0.5	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.2	W_numbers = 0.6	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.2	W_numbers = 0.7	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.2	W_numbers = 0.7999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.2	W_numbers = 0.8999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.2	W_numbers = 0.9999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.30000000000000004	W_numbers = 0.0	
====================================Total Extracted: 0
Total Correct: 0
Total Facts in the Corpus: 274
Precision = NaN, Recall = 0.0, F-Score = NaN
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = INF, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 62)
Relation = AGL, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.30000000000000004	W_numbers = 0.1	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.30000000000000004	W_numbers = 0.2	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.30000000000000004	W_numbers = 0.30000000000000004	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.30000000000000004	W_numbers = 0.4	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.30000000000000004	W_numbers = 0.5	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.30000000000000004	W_numbers = 0.6	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.30000000000000004	W_numbers = 0.7	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.30000000000000004	W_numbers = 0.7999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.30000000000000004	W_numbers = 0.8999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.30000000000000004	W_numbers = 0.9999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.4	W_numbers = 0.0	
====================================Total Extracted: 0
Total Correct: 0
Total Facts in the Corpus: 274
Precision = NaN, Recall = 0.0, F-Score = NaN
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = INF, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 62)
Relation = AGL, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.4	W_numbers = 0.1	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.4	W_numbers = 0.2	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.4	W_numbers = 0.30000000000000004	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.4	W_numbers = 0.4	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.4	W_numbers = 0.5	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.4	W_numbers = 0.6	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.4	W_numbers = 0.7	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.4	W_numbers = 0.7999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.4	W_numbers = 0.8999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.4	W_numbers = 0.9999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.5	W_numbers = 0.0	
====================================Total Extracted: 0
Total Correct: 0
Total Facts in the Corpus: 274
Precision = NaN, Recall = 0.0, F-Score = NaN
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = INF, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 62)
Relation = AGL, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.5	W_numbers = 0.1	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.5	W_numbers = 0.2	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.5	W_numbers = 0.30000000000000004	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.5	W_numbers = 0.4	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.5	W_numbers = 0.5	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.5	W_numbers = 0.6	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.5	W_numbers = 0.7	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.5	W_numbers = 0.7999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.5	W_numbers = 0.8999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.5	W_numbers = 0.9999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.6	W_numbers = 0.0	
====================================Total Extracted: 0
Total Correct: 0
Total Facts in the Corpus: 274
Precision = NaN, Recall = 0.0, F-Score = NaN
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = INF, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 62)
Relation = AGL, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.6	W_numbers = 0.1	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.6	W_numbers = 0.2	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.6	W_numbers = 0.30000000000000004	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.6	W_numbers = 0.4	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.6	W_numbers = 0.5	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.6	W_numbers = 0.6	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.6	W_numbers = 0.7	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.6	W_numbers = 0.7999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.6	W_numbers = 0.8999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.6	W_numbers = 0.9999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7	W_numbers = 0.0	
====================================Total Extracted: 0
Total Correct: 0
Total Facts in the Corpus: 274
Precision = NaN, Recall = 0.0, F-Score = NaN
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = INF, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 62)
Relation = AGL, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7	W_numbers = 0.1	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7	W_numbers = 0.2	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7	W_numbers = 0.30000000000000004	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7	W_numbers = 0.4	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7	W_numbers = 0.5	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7	W_numbers = 0.6	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7	W_numbers = 0.7	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7	W_numbers = 0.7999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7	W_numbers = 0.8999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7	W_numbers = 0.9999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7999999999999999	W_numbers = 0.0	
====================================Total Extracted: 0
Total Correct: 0
Total Facts in the Corpus: 274
Precision = NaN, Recall = 0.0, F-Score = NaN
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = INF, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 62)
Relation = AGL, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7999999999999999	W_numbers = 0.1	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7999999999999999	W_numbers = 0.2	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7999999999999999	W_numbers = 0.30000000000000004	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7999999999999999	W_numbers = 0.4	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7999999999999999	W_numbers = 0.5	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7999999999999999	W_numbers = 0.6	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7999999999999999	W_numbers = 0.7	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7999999999999999	W_numbers = 0.7999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7999999999999999	W_numbers = 0.8999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.7999999999999999	W_numbers = 0.9999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.8999999999999999	W_numbers = 0.0	
====================================Total Extracted: 0
Total Correct: 0
Total Facts in the Corpus: 274
Precision = NaN, Recall = 0.0, F-Score = NaN
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = INF, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 62)
Relation = AGL, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.8999999999999999	W_numbers = 0.1	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.8999999999999999	W_numbers = 0.2	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.8999999999999999	W_numbers = 0.30000000000000004	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.8999999999999999	W_numbers = 0.4	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.8999999999999999	W_numbers = 0.5	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.8999999999999999	W_numbers = 0.6	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.8999999999999999	W_numbers = 0.7	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.8999999999999999	W_numbers = 0.7999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.8999999999999999	W_numbers = 0.8999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.8999999999999999	W_numbers = 0.9999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.9999999999999999	W_numbers = 0.0	
====================================Total Extracted: 0
Total Correct: 0
Total Facts in the Corpus: 274
Precision = NaN, Recall = 0.0, F-Score = NaN
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = INF, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 62)
Relation = AGL, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.9999999999999999	W_numbers = 0.1	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.9999999999999999	W_numbers = 0.2	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.9999999999999999	W_numbers = 0.30000000000000004	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.9999999999999999	W_numbers = 0.4	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.9999999999999999	W_numbers = 0.5	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.9999999999999999	W_numbers = 0.6	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.9999999999999999	W_numbers = 0.7	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.9999999999999999	W_numbers = 0.7999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.9999999999999999	W_numbers = 0.8999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.0	W_keywords = 0.9999999999999999	W_numbers = 0.9999999999999999	
====================================Total Extracted: 181
Total Correct: 53
Total Facts in the Corpus: 274
Precision = 0.292817679558011, Recall = 0.19343065693430658, F-Score = 0.23296703296703297
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.42857142857142855, F-Score = 0.4137931034482759 (6, 15, 14)
Relation = LIFE, Precision = 0.5483870967741935, Recall = 0.7083333333333334, F-Score = 0.6181818181818182 (17, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.16666666666666666, Recall = 0.09090909090909091, F-Score = 0.11764705882352942 (1, 6, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2727272727272727, Recall = 0.3, F-Score = 0.28571428571428564 (3, 11, 10)
Relation = INF, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 16, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.14666666666666667, Recall = 0.1774193548387097, F-Score = 0.16058394160583941 (11, 75, 62)
Relation = AGL, Precision = 0.5555555555555556, Recall = 0.2777777777777778, F-Score = 0.3703703703703704 (15, 27, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.0	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.0	W_numbers = 0.1	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.0	W_numbers = 0.2	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.0	W_numbers = 0.30000000000000004	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.0	W_numbers = 0.4	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.0	W_numbers = 0.5	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.0	W_numbers = 0.6	
====================================Total Extracted: 165
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.45454545454545453, Recall = 0.2737226277372263, F-Score = 0.3416856492027335
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3225806451612903, Recall = 0.3225806451612903, F-Score = 0.3225806451612903 (20, 62, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.0	W_numbers = 0.7	
====================================Total Extracted: 164
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.4573170731707317, Recall = 0.2737226277372263, F-Score = 0.34246575342465757
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.0	W_numbers = 0.7999999999999999	
====================================Total Extracted: 161
Total Correct: 72
Total Facts in the Corpus: 274
Precision = 0.4472049689440994, Recall = 0.26277372262773724, F-Score = 0.3310344827586207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.0	W_numbers = 0.8999999999999999	
====================================Total Extracted: 161
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.4409937888198758, Recall = 0.2591240875912409, F-Score = 0.3264367816091954
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.0	W_numbers = 0.9999999999999999	
====================================Total Extracted: 159
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.44654088050314467, Recall = 0.2591240875912409, F-Score = 0.3279445727482679
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3389830508474576, Recall = 0.3225806451612903, F-Score = 0.3305785123966942 (20, 59, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.1	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.1	W_numbers = 0.1	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.1	W_numbers = 0.2	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.1	W_numbers = 0.30000000000000004	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.1	W_numbers = 0.4	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.1	W_numbers = 0.5	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.1	W_numbers = 0.6	
====================================Total Extracted: 165
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.45454545454545453, Recall = 0.2737226277372263, F-Score = 0.3416856492027335
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3225806451612903, Recall = 0.3225806451612903, F-Score = 0.3225806451612903 (20, 62, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.1	W_numbers = 0.7	
====================================Total Extracted: 164
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.4573170731707317, Recall = 0.2737226277372263, F-Score = 0.34246575342465757
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.1	W_numbers = 0.7999999999999999	
====================================Total Extracted: 161
Total Correct: 72
Total Facts in the Corpus: 274
Precision = 0.4472049689440994, Recall = 0.26277372262773724, F-Score = 0.3310344827586207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.1	W_numbers = 0.8999999999999999	
====================================Total Extracted: 161
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.4409937888198758, Recall = 0.2591240875912409, F-Score = 0.3264367816091954
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.1	W_numbers = 0.9999999999999999	
====================================Total Extracted: 159
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.44654088050314467, Recall = 0.2591240875912409, F-Score = 0.3279445727482679
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3389830508474576, Recall = 0.3225806451612903, F-Score = 0.3305785123966942 (20, 59, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.2	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.2	W_numbers = 0.1	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.2	W_numbers = 0.2	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.2	W_numbers = 0.30000000000000004	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.2	W_numbers = 0.4	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.2	W_numbers = 0.5	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.2	W_numbers = 0.6	
====================================Total Extracted: 165
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.45454545454545453, Recall = 0.2737226277372263, F-Score = 0.3416856492027335
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3225806451612903, Recall = 0.3225806451612903, F-Score = 0.3225806451612903 (20, 62, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.2	W_numbers = 0.7	
====================================Total Extracted: 164
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.4573170731707317, Recall = 0.2737226277372263, F-Score = 0.34246575342465757
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.2	W_numbers = 0.7999999999999999	
====================================Total Extracted: 161
Total Correct: 72
Total Facts in the Corpus: 274
Precision = 0.4472049689440994, Recall = 0.26277372262773724, F-Score = 0.3310344827586207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.2	W_numbers = 0.8999999999999999	
====================================Total Extracted: 161
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.4409937888198758, Recall = 0.2591240875912409, F-Score = 0.3264367816091954
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.2	W_numbers = 0.9999999999999999	
====================================Total Extracted: 159
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.44654088050314467, Recall = 0.2591240875912409, F-Score = 0.3279445727482679
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3389830508474576, Recall = 0.3225806451612903, F-Score = 0.3305785123966942 (20, 59, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.30000000000000004	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.30000000000000004	W_numbers = 0.1	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.30000000000000004	W_numbers = 0.2	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.30000000000000004	W_numbers = 0.30000000000000004	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.30000000000000004	W_numbers = 0.4	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.30000000000000004	W_numbers = 0.5	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.30000000000000004	W_numbers = 0.6	
====================================Total Extracted: 165
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.45454545454545453, Recall = 0.2737226277372263, F-Score = 0.3416856492027335
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3225806451612903, Recall = 0.3225806451612903, F-Score = 0.3225806451612903 (20, 62, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.30000000000000004	W_numbers = 0.7	
====================================Total Extracted: 164
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.4573170731707317, Recall = 0.2737226277372263, F-Score = 0.34246575342465757
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.30000000000000004	W_numbers = 0.7999999999999999	
====================================Total Extracted: 161
Total Correct: 72
Total Facts in the Corpus: 274
Precision = 0.4472049689440994, Recall = 0.26277372262773724, F-Score = 0.3310344827586207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.30000000000000004	W_numbers = 0.8999999999999999	
====================================Total Extracted: 161
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.4409937888198758, Recall = 0.2591240875912409, F-Score = 0.3264367816091954
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.30000000000000004	W_numbers = 0.9999999999999999	
====================================Total Extracted: 159
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.44654088050314467, Recall = 0.2591240875912409, F-Score = 0.3279445727482679
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3389830508474576, Recall = 0.3225806451612903, F-Score = 0.3305785123966942 (20, 59, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.4	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.4	W_numbers = 0.1	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.4	W_numbers = 0.2	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.4	W_numbers = 0.30000000000000004	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.4	W_numbers = 0.4	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.4	W_numbers = 0.5	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.4	W_numbers = 0.6	
====================================Total Extracted: 165
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.45454545454545453, Recall = 0.2737226277372263, F-Score = 0.3416856492027335
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3225806451612903, Recall = 0.3225806451612903, F-Score = 0.3225806451612903 (20, 62, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.4	W_numbers = 0.7	
====================================Total Extracted: 164
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.4573170731707317, Recall = 0.2737226277372263, F-Score = 0.34246575342465757
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.4	W_numbers = 0.7999999999999999	
====================================Total Extracted: 161
Total Correct: 72
Total Facts in the Corpus: 274
Precision = 0.4472049689440994, Recall = 0.26277372262773724, F-Score = 0.3310344827586207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.4	W_numbers = 0.8999999999999999	
====================================Total Extracted: 161
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.4409937888198758, Recall = 0.2591240875912409, F-Score = 0.3264367816091954
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.4	W_numbers = 0.9999999999999999	
====================================Total Extracted: 159
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.44654088050314467, Recall = 0.2591240875912409, F-Score = 0.3279445727482679
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3389830508474576, Recall = 0.3225806451612903, F-Score = 0.3305785123966942 (20, 59, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.5	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.5	W_numbers = 0.1	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.5	W_numbers = 0.2	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.5	W_numbers = 0.30000000000000004	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.5	W_numbers = 0.4	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.5	W_numbers = 0.5	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.5	W_numbers = 0.6	
====================================Total Extracted: 165
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.45454545454545453, Recall = 0.2737226277372263, F-Score = 0.3416856492027335
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3225806451612903, Recall = 0.3225806451612903, F-Score = 0.3225806451612903 (20, 62, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.5	W_numbers = 0.7	
====================================Total Extracted: 164
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.4573170731707317, Recall = 0.2737226277372263, F-Score = 0.34246575342465757
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.5	W_numbers = 0.7999999999999999	
====================================Total Extracted: 161
Total Correct: 72
Total Facts in the Corpus: 274
Precision = 0.4472049689440994, Recall = 0.26277372262773724, F-Score = 0.3310344827586207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.5	W_numbers = 0.8999999999999999	
====================================Total Extracted: 161
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.4409937888198758, Recall = 0.2591240875912409, F-Score = 0.3264367816091954
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.5	W_numbers = 0.9999999999999999	
====================================Total Extracted: 159
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.44654088050314467, Recall = 0.2591240875912409, F-Score = 0.3279445727482679
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3389830508474576, Recall = 0.3225806451612903, F-Score = 0.3305785123966942 (20, 59, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.6	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.6	W_numbers = 0.1	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.6	W_numbers = 0.2	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.6	W_numbers = 0.30000000000000004	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.6	W_numbers = 0.4	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.6	W_numbers = 0.5	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.6	W_numbers = 0.6	
====================================Total Extracted: 165
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.45454545454545453, Recall = 0.2737226277372263, F-Score = 0.3416856492027335
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3225806451612903, Recall = 0.3225806451612903, F-Score = 0.3225806451612903 (20, 62, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.6	W_numbers = 0.7	
====================================Total Extracted: 164
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.4573170731707317, Recall = 0.2737226277372263, F-Score = 0.34246575342465757
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.6	W_numbers = 0.7999999999999999	
====================================Total Extracted: 161
Total Correct: 72
Total Facts in the Corpus: 274
Precision = 0.4472049689440994, Recall = 0.26277372262773724, F-Score = 0.3310344827586207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.6	W_numbers = 0.8999999999999999	
====================================Total Extracted: 161
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.4409937888198758, Recall = 0.2591240875912409, F-Score = 0.3264367816091954
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.6	W_numbers = 0.9999999999999999	
====================================Total Extracted: 159
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.44654088050314467, Recall = 0.2591240875912409, F-Score = 0.3279445727482679
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3389830508474576, Recall = 0.3225806451612903, F-Score = 0.3305785123966942 (20, 59, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7	W_numbers = 0.1	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7	W_numbers = 0.2	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7	W_numbers = 0.30000000000000004	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7	W_numbers = 0.4	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7	W_numbers = 0.5	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7	W_numbers = 0.6	
====================================Total Extracted: 165
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.45454545454545453, Recall = 0.2737226277372263, F-Score = 0.3416856492027335
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3225806451612903, Recall = 0.3225806451612903, F-Score = 0.3225806451612903 (20, 62, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7	W_numbers = 0.7	
====================================Total Extracted: 164
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.4573170731707317, Recall = 0.2737226277372263, F-Score = 0.34246575342465757
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7	W_numbers = 0.7999999999999999	
====================================Total Extracted: 161
Total Correct: 72
Total Facts in the Corpus: 274
Precision = 0.4472049689440994, Recall = 0.26277372262773724, F-Score = 0.3310344827586207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7	W_numbers = 0.8999999999999999	
====================================Total Extracted: 161
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.4409937888198758, Recall = 0.2591240875912409, F-Score = 0.3264367816091954
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7	W_numbers = 0.9999999999999999	
====================================Total Extracted: 159
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.44654088050314467, Recall = 0.2591240875912409, F-Score = 0.3279445727482679
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3389830508474576, Recall = 0.3225806451612903, F-Score = 0.3305785123966942 (20, 59, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7999999999999999	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7999999999999999	W_numbers = 0.1	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7999999999999999	W_numbers = 0.2	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7999999999999999	W_numbers = 0.30000000000000004	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7999999999999999	W_numbers = 0.4	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7999999999999999	W_numbers = 0.5	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7999999999999999	W_numbers = 0.6	
====================================Total Extracted: 165
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.45454545454545453, Recall = 0.2737226277372263, F-Score = 0.3416856492027335
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3225806451612903, Recall = 0.3225806451612903, F-Score = 0.3225806451612903 (20, 62, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7999999999999999	W_numbers = 0.7	
====================================Total Extracted: 164
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.4573170731707317, Recall = 0.2737226277372263, F-Score = 0.34246575342465757
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7999999999999999	W_numbers = 0.7999999999999999	
====================================Total Extracted: 161
Total Correct: 72
Total Facts in the Corpus: 274
Precision = 0.4472049689440994, Recall = 0.26277372262773724, F-Score = 0.3310344827586207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7999999999999999	W_numbers = 0.8999999999999999	
====================================Total Extracted: 161
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.4409937888198758, Recall = 0.2591240875912409, F-Score = 0.3264367816091954
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.7999999999999999	W_numbers = 0.9999999999999999	
====================================Total Extracted: 159
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.44654088050314467, Recall = 0.2591240875912409, F-Score = 0.3279445727482679
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3389830508474576, Recall = 0.3225806451612903, F-Score = 0.3305785123966942 (20, 59, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.8999999999999999	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.8999999999999999	W_numbers = 0.1	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.8999999999999999	W_numbers = 0.2	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.8999999999999999	W_numbers = 0.30000000000000004	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.8999999999999999	W_numbers = 0.4	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.8999999999999999	W_numbers = 0.5	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.8999999999999999	W_numbers = 0.6	
====================================Total Extracted: 165
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.45454545454545453, Recall = 0.2737226277372263, F-Score = 0.3416856492027335
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3225806451612903, Recall = 0.3225806451612903, F-Score = 0.3225806451612903 (20, 62, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.8999999999999999	W_numbers = 0.7	
====================================Total Extracted: 164
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.4573170731707317, Recall = 0.2737226277372263, F-Score = 0.34246575342465757
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.8999999999999999	W_numbers = 0.7999999999999999	
====================================Total Extracted: 161
Total Correct: 72
Total Facts in the Corpus: 274
Precision = 0.4472049689440994, Recall = 0.26277372262773724, F-Score = 0.3310344827586207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.8999999999999999	W_numbers = 0.8999999999999999	
====================================Total Extracted: 161
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.4409937888198758, Recall = 0.2591240875912409, F-Score = 0.3264367816091954
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.8999999999999999	W_numbers = 0.9999999999999999	
====================================Total Extracted: 159
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.44654088050314467, Recall = 0.2591240875912409, F-Score = 0.3279445727482679
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3389830508474576, Recall = 0.3225806451612903, F-Score = 0.3305785123966942 (20, 59, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.9999999999999999	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.9999999999999999	W_numbers = 0.1	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.9999999999999999	W_numbers = 0.2	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.9999999999999999	W_numbers = 0.30000000000000004	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.9999999999999999	W_numbers = 0.4	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.9999999999999999	W_numbers = 0.5	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.9999999999999999	W_numbers = 0.6	
====================================Total Extracted: 165
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.45454545454545453, Recall = 0.2737226277372263, F-Score = 0.3416856492027335
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3225806451612903, Recall = 0.3225806451612903, F-Score = 0.3225806451612903 (20, 62, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.9999999999999999	W_numbers = 0.7	
====================================Total Extracted: 164
Total Correct: 75
Total Facts in the Corpus: 274
Precision = 0.4573170731707317, Recall = 0.2737226277372263, F-Score = 0.34246575342465757
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.9999999999999999	W_numbers = 0.7999999999999999	
====================================Total Extracted: 161
Total Correct: 72
Total Facts in the Corpus: 274
Precision = 0.4472049689440994, Recall = 0.26277372262773724, F-Score = 0.3310344827586207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.9999999999999999	W_numbers = 0.8999999999999999	
====================================Total Extracted: 161
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.4409937888198758, Recall = 0.2591240875912409, F-Score = 0.3264367816091954
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32786885245901637, Recall = 0.3225806451612903, F-Score = 0.3252032520325203 (20, 61, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.1	W_keywords = 0.9999999999999999	W_numbers = 0.9999999999999999	
====================================Total Extracted: 159
Total Correct: 71
Total Facts in the Corpus: 274
Precision = 0.44654088050314467, Recall = 0.2591240875912409, F-Score = 0.3279445727482679
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.65625, Recall = 0.875, F-Score = 0.75 (21, 32, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3389830508474576, Recall = 0.3225806451612903, F-Score = 0.3305785123966942 (20, 59, 62)
Relation = AGL, Precision = 0.6363636363636364, Recall = 0.3888888888888889, F-Score = 0.4827586206896552 (21, 33, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.0	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.0	W_numbers = 0.1	
====================================Total Extracted: 245
Total Correct: 125
Total Facts in the Corpus: 274
Precision = 0.5102040816326531, Recall = 0.4562043795620438, F-Score = 0.4816955684007707
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.2, F-Score = 0.28571428571428575 (2, 4, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3146067415730337, Recall = 0.45161290322580644, F-Score = 0.3708609271523179 (28, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.0	W_numbers = 0.2	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.0	W_numbers = 0.30000000000000004	
====================================Total Extracted: 205
Total Correct: 98
Total Facts in the Corpus: 274
Precision = 0.47804878048780486, Recall = 0.35766423357664234, F-Score = 0.4091858037578288
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4857142857142857, Recall = 0.2698412698412698, F-Score = 0.3469387755102041 (17, 35, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.0	W_numbers = 0.4	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.0	W_numbers = 0.5	
====================================Total Extracted: 178
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4550561797752809, Recall = 0.2956204379562044, F-Score = 0.3584070796460177
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.21428571428571427, F-Score = 0.2608695652173913 (3, 9, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3246753246753247, Recall = 0.4032258064516129, F-Score = 0.3597122302158273 (25, 77, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.0	W_numbers = 0.6	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.0	W_numbers = 0.7	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.0	W_numbers = 0.7999999999999999	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.0	W_numbers = 0.8999999999999999	
====================================Total Extracted: 168
Total Correct: 77
Total Facts in the Corpus: 274
Precision = 0.4583333333333333, Recall = 0.28102189781021897, F-Score = 0.3484162895927602
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.3548387096774194, F-Score = 0.34375 (22, 66, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.0	W_numbers = 0.9999999999999999	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.1	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.1	W_numbers = 0.1	
====================================Total Extracted: 245
Total Correct: 125
Total Facts in the Corpus: 274
Precision = 0.5102040816326531, Recall = 0.4562043795620438, F-Score = 0.4816955684007707
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.2, F-Score = 0.28571428571428575 (2, 4, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3146067415730337, Recall = 0.45161290322580644, F-Score = 0.3708609271523179 (28, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.1	W_numbers = 0.2	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.1	W_numbers = 0.30000000000000004	
====================================Total Extracted: 205
Total Correct: 98
Total Facts in the Corpus: 274
Precision = 0.47804878048780486, Recall = 0.35766423357664234, F-Score = 0.4091858037578288
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4857142857142857, Recall = 0.2698412698412698, F-Score = 0.3469387755102041 (17, 35, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.1	W_numbers = 0.4	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.1	W_numbers = 0.5	
====================================Total Extracted: 178
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4550561797752809, Recall = 0.2956204379562044, F-Score = 0.3584070796460177
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.21428571428571427, F-Score = 0.2608695652173913 (3, 9, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3246753246753247, Recall = 0.4032258064516129, F-Score = 0.3597122302158273 (25, 77, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.1	W_numbers = 0.6	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.1	W_numbers = 0.7	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.1	W_numbers = 0.7999999999999999	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.1	W_numbers = 0.8999999999999999	
====================================Total Extracted: 168
Total Correct: 77
Total Facts in the Corpus: 274
Precision = 0.4583333333333333, Recall = 0.28102189781021897, F-Score = 0.3484162895927602
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.3548387096774194, F-Score = 0.34375 (22, 66, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.1	W_numbers = 0.9999999999999999	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.2	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.2	W_numbers = 0.1	
====================================Total Extracted: 245
Total Correct: 125
Total Facts in the Corpus: 274
Precision = 0.5102040816326531, Recall = 0.4562043795620438, F-Score = 0.4816955684007707
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.2, F-Score = 0.28571428571428575 (2, 4, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3146067415730337, Recall = 0.45161290322580644, F-Score = 0.3708609271523179 (28, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.2	W_numbers = 0.2	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.2	W_numbers = 0.30000000000000004	
====================================Total Extracted: 205
Total Correct: 98
Total Facts in the Corpus: 274
Precision = 0.47804878048780486, Recall = 0.35766423357664234, F-Score = 0.4091858037578288
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4857142857142857, Recall = 0.2698412698412698, F-Score = 0.3469387755102041 (17, 35, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.2	W_numbers = 0.4	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.2	W_numbers = 0.5	
====================================Total Extracted: 178
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4550561797752809, Recall = 0.2956204379562044, F-Score = 0.3584070796460177
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.21428571428571427, F-Score = 0.2608695652173913 (3, 9, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3246753246753247, Recall = 0.4032258064516129, F-Score = 0.3597122302158273 (25, 77, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.2	W_numbers = 0.6	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.2	W_numbers = 0.7	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.2	W_numbers = 0.7999999999999999	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.2	W_numbers = 0.8999999999999999	
====================================Total Extracted: 168
Total Correct: 77
Total Facts in the Corpus: 274
Precision = 0.4583333333333333, Recall = 0.28102189781021897, F-Score = 0.3484162895927602
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.3548387096774194, F-Score = 0.34375 (22, 66, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.2	W_numbers = 0.9999999999999999	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.30000000000000004	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.30000000000000004	W_numbers = 0.1	
====================================Total Extracted: 245
Total Correct: 125
Total Facts in the Corpus: 274
Precision = 0.5102040816326531, Recall = 0.4562043795620438, F-Score = 0.4816955684007707
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.2, F-Score = 0.28571428571428575 (2, 4, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3146067415730337, Recall = 0.45161290322580644, F-Score = 0.3708609271523179 (28, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.30000000000000004	W_numbers = 0.2	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.30000000000000004	W_numbers = 0.30000000000000004	
====================================Total Extracted: 205
Total Correct: 98
Total Facts in the Corpus: 274
Precision = 0.47804878048780486, Recall = 0.35766423357664234, F-Score = 0.4091858037578288
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4857142857142857, Recall = 0.2698412698412698, F-Score = 0.3469387755102041 (17, 35, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.30000000000000004	W_numbers = 0.4	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.30000000000000004	W_numbers = 0.5	
====================================Total Extracted: 178
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4550561797752809, Recall = 0.2956204379562044, F-Score = 0.3584070796460177
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.21428571428571427, F-Score = 0.2608695652173913 (3, 9, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3246753246753247, Recall = 0.4032258064516129, F-Score = 0.3597122302158273 (25, 77, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.30000000000000004	W_numbers = 0.6	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.30000000000000004	W_numbers = 0.7	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.30000000000000004	W_numbers = 0.7999999999999999	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.30000000000000004	W_numbers = 0.8999999999999999	
====================================Total Extracted: 168
Total Correct: 77
Total Facts in the Corpus: 274
Precision = 0.4583333333333333, Recall = 0.28102189781021897, F-Score = 0.3484162895927602
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.3548387096774194, F-Score = 0.34375 (22, 66, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.30000000000000004	W_numbers = 0.9999999999999999	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.4	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.4	W_numbers = 0.1	
====================================Total Extracted: 245
Total Correct: 125
Total Facts in the Corpus: 274
Precision = 0.5102040816326531, Recall = 0.4562043795620438, F-Score = 0.4816955684007707
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.2, F-Score = 0.28571428571428575 (2, 4, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3146067415730337, Recall = 0.45161290322580644, F-Score = 0.3708609271523179 (28, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.4	W_numbers = 0.2	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.4	W_numbers = 0.30000000000000004	
====================================Total Extracted: 205
Total Correct: 98
Total Facts in the Corpus: 274
Precision = 0.47804878048780486, Recall = 0.35766423357664234, F-Score = 0.4091858037578288
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4857142857142857, Recall = 0.2698412698412698, F-Score = 0.3469387755102041 (17, 35, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.4	W_numbers = 0.4	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.4	W_numbers = 0.5	
====================================Total Extracted: 178
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4550561797752809, Recall = 0.2956204379562044, F-Score = 0.3584070796460177
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.21428571428571427, F-Score = 0.2608695652173913 (3, 9, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3246753246753247, Recall = 0.4032258064516129, F-Score = 0.3597122302158273 (25, 77, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.4	W_numbers = 0.6	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.4	W_numbers = 0.7	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.4	W_numbers = 0.7999999999999999	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.4	W_numbers = 0.8999999999999999	
====================================Total Extracted: 168
Total Correct: 77
Total Facts in the Corpus: 274
Precision = 0.4583333333333333, Recall = 0.28102189781021897, F-Score = 0.3484162895927602
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.3548387096774194, F-Score = 0.34375 (22, 66, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.4	W_numbers = 0.9999999999999999	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.5	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.5	W_numbers = 0.1	
====================================Total Extracted: 245
Total Correct: 125
Total Facts in the Corpus: 274
Precision = 0.5102040816326531, Recall = 0.4562043795620438, F-Score = 0.4816955684007707
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.2, F-Score = 0.28571428571428575 (2, 4, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3146067415730337, Recall = 0.45161290322580644, F-Score = 0.3708609271523179 (28, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.5	W_numbers = 0.2	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.5	W_numbers = 0.30000000000000004	
====================================Total Extracted: 205
Total Correct: 98
Total Facts in the Corpus: 274
Precision = 0.47804878048780486, Recall = 0.35766423357664234, F-Score = 0.4091858037578288
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4857142857142857, Recall = 0.2698412698412698, F-Score = 0.3469387755102041 (17, 35, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.5	W_numbers = 0.4	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.5	W_numbers = 0.5	
====================================Total Extracted: 178
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4550561797752809, Recall = 0.2956204379562044, F-Score = 0.3584070796460177
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.21428571428571427, F-Score = 0.2608695652173913 (3, 9, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3246753246753247, Recall = 0.4032258064516129, F-Score = 0.3597122302158273 (25, 77, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.5	W_numbers = 0.6	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.5	W_numbers = 0.7	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.5	W_numbers = 0.7999999999999999	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.5	W_numbers = 0.8999999999999999	
====================================Total Extracted: 168
Total Correct: 77
Total Facts in the Corpus: 274
Precision = 0.4583333333333333, Recall = 0.28102189781021897, F-Score = 0.3484162895927602
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.3548387096774194, F-Score = 0.34375 (22, 66, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.5	W_numbers = 0.9999999999999999	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.6	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.6	W_numbers = 0.1	
====================================Total Extracted: 245
Total Correct: 125
Total Facts in the Corpus: 274
Precision = 0.5102040816326531, Recall = 0.4562043795620438, F-Score = 0.4816955684007707
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.2, F-Score = 0.28571428571428575 (2, 4, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3146067415730337, Recall = 0.45161290322580644, F-Score = 0.3708609271523179 (28, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.6	W_numbers = 0.2	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.6	W_numbers = 0.30000000000000004	
====================================Total Extracted: 205
Total Correct: 98
Total Facts in the Corpus: 274
Precision = 0.47804878048780486, Recall = 0.35766423357664234, F-Score = 0.4091858037578288
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4857142857142857, Recall = 0.2698412698412698, F-Score = 0.3469387755102041 (17, 35, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.6	W_numbers = 0.4	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.6	W_numbers = 0.5	
====================================Total Extracted: 178
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4550561797752809, Recall = 0.2956204379562044, F-Score = 0.3584070796460177
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.21428571428571427, F-Score = 0.2608695652173913 (3, 9, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3246753246753247, Recall = 0.4032258064516129, F-Score = 0.3597122302158273 (25, 77, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.6	W_numbers = 0.6	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.6	W_numbers = 0.7	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.6	W_numbers = 0.7999999999999999	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.6	W_numbers = 0.8999999999999999	
====================================Total Extracted: 168
Total Correct: 77
Total Facts in the Corpus: 274
Precision = 0.4583333333333333, Recall = 0.28102189781021897, F-Score = 0.3484162895927602
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.3548387096774194, F-Score = 0.34375 (22, 66, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.6	W_numbers = 0.9999999999999999	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7	W_numbers = 0.1	
====================================Total Extracted: 245
Total Correct: 125
Total Facts in the Corpus: 274
Precision = 0.5102040816326531, Recall = 0.4562043795620438, F-Score = 0.4816955684007707
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.2, F-Score = 0.28571428571428575 (2, 4, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3146067415730337, Recall = 0.45161290322580644, F-Score = 0.3708609271523179 (28, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7	W_numbers = 0.2	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7	W_numbers = 0.30000000000000004	
====================================Total Extracted: 205
Total Correct: 98
Total Facts in the Corpus: 274
Precision = 0.47804878048780486, Recall = 0.35766423357664234, F-Score = 0.4091858037578288
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4857142857142857, Recall = 0.2698412698412698, F-Score = 0.3469387755102041 (17, 35, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7	W_numbers = 0.4	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7	W_numbers = 0.5	
====================================Total Extracted: 178
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4550561797752809, Recall = 0.2956204379562044, F-Score = 0.3584070796460177
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.21428571428571427, F-Score = 0.2608695652173913 (3, 9, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3246753246753247, Recall = 0.4032258064516129, F-Score = 0.3597122302158273 (25, 77, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7	W_numbers = 0.6	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7	W_numbers = 0.7	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7	W_numbers = 0.7999999999999999	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7	W_numbers = 0.8999999999999999	
====================================Total Extracted: 168
Total Correct: 77
Total Facts in the Corpus: 274
Precision = 0.4583333333333333, Recall = 0.28102189781021897, F-Score = 0.3484162895927602
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.3548387096774194, F-Score = 0.34375 (22, 66, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7	W_numbers = 0.9999999999999999	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7999999999999999	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7999999999999999	W_numbers = 0.1	
====================================Total Extracted: 245
Total Correct: 125
Total Facts in the Corpus: 274
Precision = 0.5102040816326531, Recall = 0.4562043795620438, F-Score = 0.4816955684007707
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.2, F-Score = 0.28571428571428575 (2, 4, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3146067415730337, Recall = 0.45161290322580644, F-Score = 0.3708609271523179 (28, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7999999999999999	W_numbers = 0.2	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7999999999999999	W_numbers = 0.30000000000000004	
====================================Total Extracted: 205
Total Correct: 98
Total Facts in the Corpus: 274
Precision = 0.47804878048780486, Recall = 0.35766423357664234, F-Score = 0.4091858037578288
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4857142857142857, Recall = 0.2698412698412698, F-Score = 0.3469387755102041 (17, 35, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7999999999999999	W_numbers = 0.4	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7999999999999999	W_numbers = 0.5	
====================================Total Extracted: 178
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4550561797752809, Recall = 0.2956204379562044, F-Score = 0.3584070796460177
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.21428571428571427, F-Score = 0.2608695652173913 (3, 9, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3246753246753247, Recall = 0.4032258064516129, F-Score = 0.3597122302158273 (25, 77, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7999999999999999	W_numbers = 0.6	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7999999999999999	W_numbers = 0.7	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7999999999999999	W_numbers = 0.7999999999999999	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7999999999999999	W_numbers = 0.8999999999999999	
====================================Total Extracted: 168
Total Correct: 77
Total Facts in the Corpus: 274
Precision = 0.4583333333333333, Recall = 0.28102189781021897, F-Score = 0.3484162895927602
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.3548387096774194, F-Score = 0.34375 (22, 66, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.7999999999999999	W_numbers = 0.9999999999999999	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.8999999999999999	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.8999999999999999	W_numbers = 0.1	
====================================Total Extracted: 245
Total Correct: 125
Total Facts in the Corpus: 274
Precision = 0.5102040816326531, Recall = 0.4562043795620438, F-Score = 0.4816955684007707
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.2, F-Score = 0.28571428571428575 (2, 4, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3146067415730337, Recall = 0.45161290322580644, F-Score = 0.3708609271523179 (28, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.8999999999999999	W_numbers = 0.2	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.8999999999999999	W_numbers = 0.30000000000000004	
====================================Total Extracted: 205
Total Correct: 98
Total Facts in the Corpus: 274
Precision = 0.47804878048780486, Recall = 0.35766423357664234, F-Score = 0.4091858037578288
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4857142857142857, Recall = 0.2698412698412698, F-Score = 0.3469387755102041 (17, 35, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.8999999999999999	W_numbers = 0.4	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.8999999999999999	W_numbers = 0.5	
====================================Total Extracted: 178
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4550561797752809, Recall = 0.2956204379562044, F-Score = 0.3584070796460177
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.21428571428571427, F-Score = 0.2608695652173913 (3, 9, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3246753246753247, Recall = 0.4032258064516129, F-Score = 0.3597122302158273 (25, 77, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.8999999999999999	W_numbers = 0.6	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.8999999999999999	W_numbers = 0.7	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.8999999999999999	W_numbers = 0.7999999999999999	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.8999999999999999	W_numbers = 0.8999999999999999	
====================================Total Extracted: 168
Total Correct: 77
Total Facts in the Corpus: 274
Precision = 0.4583333333333333, Recall = 0.28102189781021897, F-Score = 0.3484162895927602
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.3548387096774194, F-Score = 0.34375 (22, 66, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.8999999999999999	W_numbers = 0.9999999999999999	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.9999999999999999	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.9999999999999999	W_numbers = 0.1	
====================================Total Extracted: 245
Total Correct: 125
Total Facts in the Corpus: 274
Precision = 0.5102040816326531, Recall = 0.4562043795620438, F-Score = 0.4816955684007707
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.2, F-Score = 0.28571428571428575 (2, 4, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3146067415730337, Recall = 0.45161290322580644, F-Score = 0.3708609271523179 (28, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.9999999999999999	W_numbers = 0.2	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.9999999999999999	W_numbers = 0.30000000000000004	
====================================Total Extracted: 205
Total Correct: 98
Total Facts in the Corpus: 274
Precision = 0.47804878048780486, Recall = 0.35766423357664234, F-Score = 0.4091858037578288
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4857142857142857, Recall = 0.2698412698412698, F-Score = 0.3469387755102041 (17, 35, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.9999999999999999	W_numbers = 0.4	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.9999999999999999	W_numbers = 0.5	
====================================Total Extracted: 178
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4550561797752809, Recall = 0.2956204379562044, F-Score = 0.3584070796460177
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.21428571428571427, F-Score = 0.2608695652173913 (3, 9, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3246753246753247, Recall = 0.4032258064516129, F-Score = 0.3597122302158273 (25, 77, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.9999999999999999	W_numbers = 0.6	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.9999999999999999	W_numbers = 0.7	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.9999999999999999	W_numbers = 0.7999999999999999	
====================================Total Extracted: 174
Total Correct: 79
Total Facts in the Corpus: 274
Precision = 0.4540229885057471, Recall = 0.28832116788321166, F-Score = 0.3526785714285714
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.125, Recall = 0.015873015873015872, F-Score = 0.02816901408450704 (1, 8, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3380281690140845, Recall = 0.3870967741935484, F-Score = 0.3609022556390978 (24, 71, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.9999999999999999	W_numbers = 0.8999999999999999	
====================================Total Extracted: 168
Total Correct: 77
Total Facts in the Corpus: 274
Precision = 0.4583333333333333, Recall = 0.28102189781021897, F-Score = 0.3484162895927602
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.3548387096774194, F-Score = 0.34375 (22, 66, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.4444444444444444, F-Score = 0.5333333333333333 (24, 36, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.2	W_keywords = 0.9999999999999999	W_numbers = 0.9999999999999999	
====================================Total Extracted: 168
Total Correct: 76
Total Facts in the Corpus: 274
Precision = 0.4523809523809524, Recall = 0.2773722627737226, F-Score = 0.34389140271493207
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.14285714285714285, Recall = 0.015873015873015872, F-Score = 0.028571428571428567 (1, 7, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3230769230769231, Recall = 0.3387096774193548, F-Score = 0.33070866141732286 (21, 65, 62)
Relation = AGL, Precision = 0.6486486486486487, Recall = 0.4444444444444444, F-Score = 0.5274725274725275 (24, 37, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.0	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.0	W_numbers = 0.1	
====================================Total Extracted: 238
Total Correct: 123
Total Facts in the Corpus: 274
Precision = 0.5168067226890757, Recall = 0.4489051094890511, F-Score = 0.48046875
----Per Relation P/R
Relation = FDI, Precision = 0.5, Recall = 0.07142857142857142, F-Score = 0.125 (1, 2, 14)
Relation = LIFE, Precision = 0.7407407407407407, Recall = 0.8333333333333334, F-Score = 0.7843137254901961 (20, 27, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.1, F-Score = 0.16666666666666669 (1, 2, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3258426966292135, Recall = 0.46774193548387094, F-Score = 0.38410596026490074 (29, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.0	W_numbers = 0.2	
====================================Total Extracted: 244
Total Correct: 126
Total Facts in the Corpus: 274
Precision = 0.5163934426229508, Recall = 0.45985401459854014, F-Score = 0.4864864864864865
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.6666666666666666, Recall = 0.2, F-Score = 0.30769230769230765 (2, 3, 10)
Relation = INF, Precision = 0.5897435897435898, Recall = 0.7301587301587301, F-Score = 0.6524822695035462 (46, 78, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3218390804597701, Recall = 0.45161290322580644, F-Score = 0.3758389261744966 (28, 87, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.0	W_numbers = 0.30000000000000004	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.0	W_numbers = 0.4	
====================================Total Extracted: 215
Total Correct: 108
Total Facts in the Corpus: 274
Precision = 0.5023255813953489, Recall = 0.39416058394160586, F-Score = 0.441717791411043
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.42857142857142855, F-Score = 0.5 (27, 45, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.0	W_numbers = 0.5	
====================================Total Extracted: 191
Total Correct: 89
Total Facts in the Corpus: 274
Precision = 0.46596858638743455, Recall = 0.3248175182481752, F-Score = 0.38279569892473114
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.14285714285714285, F-Score = 0.2 (2, 6, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4090909090909091, Recall = 0.14285714285714285, F-Score = 0.21176470588235294 (9, 22, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3373493975903614, Recall = 0.45161290322580644, F-Score = 0.3862068965517241 (28, 83, 62)
Relation = AGL, Precision = 0.6190476190476191, Recall = 0.48148148148148145, F-Score = 0.5416666666666666 (26, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.0	W_numbers = 0.6	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.0	W_numbers = 0.7	
====================================Total Extracted: 177
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4576271186440678, Recall = 0.2956204379562044, F-Score = 0.3592017738359202
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.41935483870967744, F-Score = 0.3714285714285714 (26, 78, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.0	W_numbers = 0.7999999999999999	
====================================Total Extracted: 178
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46629213483146065, Recall = 0.3029197080291971, F-Score = 0.3672566371681416
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.375, Recall = 0.3, F-Score = 0.33333333333333326 (3, 8, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32894736842105265, Recall = 0.4032258064516129, F-Score = 0.3623188405797101 (25, 76, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.0	W_numbers = 0.8999999999999999	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.0	W_numbers = 0.9999999999999999	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.6923076923076923, Recall = 0.5, F-Score = 0.5806451612903226 (27, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.1	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.1	W_numbers = 0.1	
====================================Total Extracted: 238
Total Correct: 123
Total Facts in the Corpus: 274
Precision = 0.5168067226890757, Recall = 0.4489051094890511, F-Score = 0.48046875
----Per Relation P/R
Relation = FDI, Precision = 0.5, Recall = 0.07142857142857142, F-Score = 0.125 (1, 2, 14)
Relation = LIFE, Precision = 0.7407407407407407, Recall = 0.8333333333333334, F-Score = 0.7843137254901961 (20, 27, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.1, F-Score = 0.16666666666666669 (1, 2, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3258426966292135, Recall = 0.46774193548387094, F-Score = 0.38410596026490074 (29, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.1	W_numbers = 0.2	
====================================Total Extracted: 244
Total Correct: 126
Total Facts in the Corpus: 274
Precision = 0.5163934426229508, Recall = 0.45985401459854014, F-Score = 0.4864864864864865
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.6666666666666666, Recall = 0.2, F-Score = 0.30769230769230765 (2, 3, 10)
Relation = INF, Precision = 0.5897435897435898, Recall = 0.7301587301587301, F-Score = 0.6524822695035462 (46, 78, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3218390804597701, Recall = 0.45161290322580644, F-Score = 0.3758389261744966 (28, 87, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.1	W_numbers = 0.30000000000000004	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.1	W_numbers = 0.4	
====================================Total Extracted: 215
Total Correct: 108
Total Facts in the Corpus: 274
Precision = 0.5023255813953489, Recall = 0.39416058394160586, F-Score = 0.441717791411043
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.42857142857142855, F-Score = 0.5 (27, 45, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.1	W_numbers = 0.5	
====================================Total Extracted: 191
Total Correct: 89
Total Facts in the Corpus: 274
Precision = 0.46596858638743455, Recall = 0.3248175182481752, F-Score = 0.38279569892473114
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.14285714285714285, F-Score = 0.2 (2, 6, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4090909090909091, Recall = 0.14285714285714285, F-Score = 0.21176470588235294 (9, 22, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3373493975903614, Recall = 0.45161290322580644, F-Score = 0.3862068965517241 (28, 83, 62)
Relation = AGL, Precision = 0.6190476190476191, Recall = 0.48148148148148145, F-Score = 0.5416666666666666 (26, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.1	W_numbers = 0.6	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.1	W_numbers = 0.7	
====================================Total Extracted: 177
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4576271186440678, Recall = 0.2956204379562044, F-Score = 0.3592017738359202
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.41935483870967744, F-Score = 0.3714285714285714 (26, 78, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.1	W_numbers = 0.7999999999999999	
====================================Total Extracted: 178
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46629213483146065, Recall = 0.3029197080291971, F-Score = 0.3672566371681416
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.375, Recall = 0.3, F-Score = 0.33333333333333326 (3, 8, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32894736842105265, Recall = 0.4032258064516129, F-Score = 0.3623188405797101 (25, 76, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.1	W_numbers = 0.8999999999999999	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.1	W_numbers = 0.9999999999999999	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.6923076923076923, Recall = 0.5, F-Score = 0.5806451612903226 (27, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.2	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.2	W_numbers = 0.1	
====================================Total Extracted: 238
Total Correct: 123
Total Facts in the Corpus: 274
Precision = 0.5168067226890757, Recall = 0.4489051094890511, F-Score = 0.48046875
----Per Relation P/R
Relation = FDI, Precision = 0.5, Recall = 0.07142857142857142, F-Score = 0.125 (1, 2, 14)
Relation = LIFE, Precision = 0.7407407407407407, Recall = 0.8333333333333334, F-Score = 0.7843137254901961 (20, 27, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.1, F-Score = 0.16666666666666669 (1, 2, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3258426966292135, Recall = 0.46774193548387094, F-Score = 0.38410596026490074 (29, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.2	W_numbers = 0.2	
====================================Total Extracted: 244
Total Correct: 126
Total Facts in the Corpus: 274
Precision = 0.5163934426229508, Recall = 0.45985401459854014, F-Score = 0.4864864864864865
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.6666666666666666, Recall = 0.2, F-Score = 0.30769230769230765 (2, 3, 10)
Relation = INF, Precision = 0.5897435897435898, Recall = 0.7301587301587301, F-Score = 0.6524822695035462 (46, 78, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3218390804597701, Recall = 0.45161290322580644, F-Score = 0.3758389261744966 (28, 87, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.2	W_numbers = 0.30000000000000004	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.2	W_numbers = 0.4	
====================================Total Extracted: 215
Total Correct: 108
Total Facts in the Corpus: 274
Precision = 0.5023255813953489, Recall = 0.39416058394160586, F-Score = 0.441717791411043
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.42857142857142855, F-Score = 0.5 (27, 45, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.2	W_numbers = 0.5	
====================================Total Extracted: 191
Total Correct: 89
Total Facts in the Corpus: 274
Precision = 0.46596858638743455, Recall = 0.3248175182481752, F-Score = 0.38279569892473114
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.14285714285714285, F-Score = 0.2 (2, 6, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4090909090909091, Recall = 0.14285714285714285, F-Score = 0.21176470588235294 (9, 22, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3373493975903614, Recall = 0.45161290322580644, F-Score = 0.3862068965517241 (28, 83, 62)
Relation = AGL, Precision = 0.6190476190476191, Recall = 0.48148148148148145, F-Score = 0.5416666666666666 (26, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.2	W_numbers = 0.6	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.2	W_numbers = 0.7	
====================================Total Extracted: 177
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4576271186440678, Recall = 0.2956204379562044, F-Score = 0.3592017738359202
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.41935483870967744, F-Score = 0.3714285714285714 (26, 78, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.2	W_numbers = 0.7999999999999999	
====================================Total Extracted: 178
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46629213483146065, Recall = 0.3029197080291971, F-Score = 0.3672566371681416
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.375, Recall = 0.3, F-Score = 0.33333333333333326 (3, 8, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32894736842105265, Recall = 0.4032258064516129, F-Score = 0.3623188405797101 (25, 76, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.2	W_numbers = 0.8999999999999999	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.2	W_numbers = 0.9999999999999999	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.6923076923076923, Recall = 0.5, F-Score = 0.5806451612903226 (27, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.30000000000000004	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.30000000000000004	W_numbers = 0.1	
====================================Total Extracted: 238
Total Correct: 123
Total Facts in the Corpus: 274
Precision = 0.5168067226890757, Recall = 0.4489051094890511, F-Score = 0.48046875
----Per Relation P/R
Relation = FDI, Precision = 0.5, Recall = 0.07142857142857142, F-Score = 0.125 (1, 2, 14)
Relation = LIFE, Precision = 0.7407407407407407, Recall = 0.8333333333333334, F-Score = 0.7843137254901961 (20, 27, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.1, F-Score = 0.16666666666666669 (1, 2, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3258426966292135, Recall = 0.46774193548387094, F-Score = 0.38410596026490074 (29, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.30000000000000004	W_numbers = 0.2	
====================================Total Extracted: 244
Total Correct: 126
Total Facts in the Corpus: 274
Precision = 0.5163934426229508, Recall = 0.45985401459854014, F-Score = 0.4864864864864865
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.6666666666666666, Recall = 0.2, F-Score = 0.30769230769230765 (2, 3, 10)
Relation = INF, Precision = 0.5897435897435898, Recall = 0.7301587301587301, F-Score = 0.6524822695035462 (46, 78, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3218390804597701, Recall = 0.45161290322580644, F-Score = 0.3758389261744966 (28, 87, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.30000000000000004	W_numbers = 0.30000000000000004	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.30000000000000004	W_numbers = 0.4	
====================================Total Extracted: 215
Total Correct: 108
Total Facts in the Corpus: 274
Precision = 0.5023255813953489, Recall = 0.39416058394160586, F-Score = 0.441717791411043
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.42857142857142855, F-Score = 0.5 (27, 45, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.30000000000000004	W_numbers = 0.5	
====================================Total Extracted: 191
Total Correct: 89
Total Facts in the Corpus: 274
Precision = 0.46596858638743455, Recall = 0.3248175182481752, F-Score = 0.38279569892473114
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.14285714285714285, F-Score = 0.2 (2, 6, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4090909090909091, Recall = 0.14285714285714285, F-Score = 0.21176470588235294 (9, 22, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3373493975903614, Recall = 0.45161290322580644, F-Score = 0.3862068965517241 (28, 83, 62)
Relation = AGL, Precision = 0.6190476190476191, Recall = 0.48148148148148145, F-Score = 0.5416666666666666 (26, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.30000000000000004	W_numbers = 0.6	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.30000000000000004	W_numbers = 0.7	
====================================Total Extracted: 177
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4576271186440678, Recall = 0.2956204379562044, F-Score = 0.3592017738359202
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.41935483870967744, F-Score = 0.3714285714285714 (26, 78, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.30000000000000004	W_numbers = 0.7999999999999999	
====================================Total Extracted: 178
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46629213483146065, Recall = 0.3029197080291971, F-Score = 0.3672566371681416
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.375, Recall = 0.3, F-Score = 0.33333333333333326 (3, 8, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32894736842105265, Recall = 0.4032258064516129, F-Score = 0.3623188405797101 (25, 76, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.30000000000000004	W_numbers = 0.8999999999999999	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.30000000000000004	W_numbers = 0.9999999999999999	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.6923076923076923, Recall = 0.5, F-Score = 0.5806451612903226 (27, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.4	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.4	W_numbers = 0.1	
====================================Total Extracted: 238
Total Correct: 123
Total Facts in the Corpus: 274
Precision = 0.5168067226890757, Recall = 0.4489051094890511, F-Score = 0.48046875
----Per Relation P/R
Relation = FDI, Precision = 0.5, Recall = 0.07142857142857142, F-Score = 0.125 (1, 2, 14)
Relation = LIFE, Precision = 0.7407407407407407, Recall = 0.8333333333333334, F-Score = 0.7843137254901961 (20, 27, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.1, F-Score = 0.16666666666666669 (1, 2, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3258426966292135, Recall = 0.46774193548387094, F-Score = 0.38410596026490074 (29, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.4	W_numbers = 0.2	
====================================Total Extracted: 244
Total Correct: 126
Total Facts in the Corpus: 274
Precision = 0.5163934426229508, Recall = 0.45985401459854014, F-Score = 0.4864864864864865
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.6666666666666666, Recall = 0.2, F-Score = 0.30769230769230765 (2, 3, 10)
Relation = INF, Precision = 0.5897435897435898, Recall = 0.7301587301587301, F-Score = 0.6524822695035462 (46, 78, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3218390804597701, Recall = 0.45161290322580644, F-Score = 0.3758389261744966 (28, 87, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.4	W_numbers = 0.30000000000000004	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.4	W_numbers = 0.4	
====================================Total Extracted: 215
Total Correct: 108
Total Facts in the Corpus: 274
Precision = 0.5023255813953489, Recall = 0.39416058394160586, F-Score = 0.441717791411043
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.42857142857142855, F-Score = 0.5 (27, 45, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.4	W_numbers = 0.5	
====================================Total Extracted: 191
Total Correct: 89
Total Facts in the Corpus: 274
Precision = 0.46596858638743455, Recall = 0.3248175182481752, F-Score = 0.38279569892473114
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.14285714285714285, F-Score = 0.2 (2, 6, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4090909090909091, Recall = 0.14285714285714285, F-Score = 0.21176470588235294 (9, 22, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3373493975903614, Recall = 0.45161290322580644, F-Score = 0.3862068965517241 (28, 83, 62)
Relation = AGL, Precision = 0.6190476190476191, Recall = 0.48148148148148145, F-Score = 0.5416666666666666 (26, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.4	W_numbers = 0.6	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.4	W_numbers = 0.7	
====================================Total Extracted: 177
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4576271186440678, Recall = 0.2956204379562044, F-Score = 0.3592017738359202
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.41935483870967744, F-Score = 0.3714285714285714 (26, 78, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.4	W_numbers = 0.7999999999999999	
====================================Total Extracted: 178
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46629213483146065, Recall = 0.3029197080291971, F-Score = 0.3672566371681416
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.375, Recall = 0.3, F-Score = 0.33333333333333326 (3, 8, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32894736842105265, Recall = 0.4032258064516129, F-Score = 0.3623188405797101 (25, 76, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.4	W_numbers = 0.8999999999999999	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.4	W_numbers = 0.9999999999999999	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.6923076923076923, Recall = 0.5, F-Score = 0.5806451612903226 (27, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.5	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.5	W_numbers = 0.1	
====================================Total Extracted: 238
Total Correct: 123
Total Facts in the Corpus: 274
Precision = 0.5168067226890757, Recall = 0.4489051094890511, F-Score = 0.48046875
----Per Relation P/R
Relation = FDI, Precision = 0.5, Recall = 0.07142857142857142, F-Score = 0.125 (1, 2, 14)
Relation = LIFE, Precision = 0.7407407407407407, Recall = 0.8333333333333334, F-Score = 0.7843137254901961 (20, 27, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.1, F-Score = 0.16666666666666669 (1, 2, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3258426966292135, Recall = 0.46774193548387094, F-Score = 0.38410596026490074 (29, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.5	W_numbers = 0.2	
====================================Total Extracted: 244
Total Correct: 126
Total Facts in the Corpus: 274
Precision = 0.5163934426229508, Recall = 0.45985401459854014, F-Score = 0.4864864864864865
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.6666666666666666, Recall = 0.2, F-Score = 0.30769230769230765 (2, 3, 10)
Relation = INF, Precision = 0.5897435897435898, Recall = 0.7301587301587301, F-Score = 0.6524822695035462 (46, 78, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3218390804597701, Recall = 0.45161290322580644, F-Score = 0.3758389261744966 (28, 87, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.5	W_numbers = 0.30000000000000004	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.5	W_numbers = 0.4	
====================================Total Extracted: 215
Total Correct: 108
Total Facts in the Corpus: 274
Precision = 0.5023255813953489, Recall = 0.39416058394160586, F-Score = 0.441717791411043
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.42857142857142855, F-Score = 0.5 (27, 45, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.5	W_numbers = 0.5	
====================================Total Extracted: 191
Total Correct: 89
Total Facts in the Corpus: 274
Precision = 0.46596858638743455, Recall = 0.3248175182481752, F-Score = 0.38279569892473114
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.14285714285714285, F-Score = 0.2 (2, 6, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4090909090909091, Recall = 0.14285714285714285, F-Score = 0.21176470588235294 (9, 22, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3373493975903614, Recall = 0.45161290322580644, F-Score = 0.3862068965517241 (28, 83, 62)
Relation = AGL, Precision = 0.6190476190476191, Recall = 0.48148148148148145, F-Score = 0.5416666666666666 (26, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.5	W_numbers = 0.6	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.5	W_numbers = 0.7	
====================================Total Extracted: 177
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4576271186440678, Recall = 0.2956204379562044, F-Score = 0.3592017738359202
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.41935483870967744, F-Score = 0.3714285714285714 (26, 78, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.5	W_numbers = 0.7999999999999999	
====================================Total Extracted: 178
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46629213483146065, Recall = 0.3029197080291971, F-Score = 0.3672566371681416
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.375, Recall = 0.3, F-Score = 0.33333333333333326 (3, 8, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32894736842105265, Recall = 0.4032258064516129, F-Score = 0.3623188405797101 (25, 76, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.5	W_numbers = 0.8999999999999999	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.5	W_numbers = 0.9999999999999999	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.6923076923076923, Recall = 0.5, F-Score = 0.5806451612903226 (27, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.6	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.6	W_numbers = 0.1	
====================================Total Extracted: 238
Total Correct: 123
Total Facts in the Corpus: 274
Precision = 0.5168067226890757, Recall = 0.4489051094890511, F-Score = 0.48046875
----Per Relation P/R
Relation = FDI, Precision = 0.5, Recall = 0.07142857142857142, F-Score = 0.125 (1, 2, 14)
Relation = LIFE, Precision = 0.7407407407407407, Recall = 0.8333333333333334, F-Score = 0.7843137254901961 (20, 27, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.1, F-Score = 0.16666666666666669 (1, 2, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3258426966292135, Recall = 0.46774193548387094, F-Score = 0.38410596026490074 (29, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.6	W_numbers = 0.2	
====================================Total Extracted: 244
Total Correct: 126
Total Facts in the Corpus: 274
Precision = 0.5163934426229508, Recall = 0.45985401459854014, F-Score = 0.4864864864864865
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.6666666666666666, Recall = 0.2, F-Score = 0.30769230769230765 (2, 3, 10)
Relation = INF, Precision = 0.5897435897435898, Recall = 0.7301587301587301, F-Score = 0.6524822695035462 (46, 78, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3218390804597701, Recall = 0.45161290322580644, F-Score = 0.3758389261744966 (28, 87, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.6	W_numbers = 0.30000000000000004	
====================================Total Extracted: 235
Total Correct: 119
Total Facts in the Corpus: 274
Precision = 0.5063829787234042, Recall = 0.4343065693430657, F-Score = 0.4675834970530452
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.6190476190476191, F-Score = 0.609375 (39, 65, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32941176470588235, Recall = 0.45161290322580644, F-Score = 0.380952380952381 (28, 85, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.6	W_numbers = 0.4	
====================================Total Extracted: 215
Total Correct: 108
Total Facts in the Corpus: 274
Precision = 0.5023255813953489, Recall = 0.39416058394160586, F-Score = 0.441717791411043
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.6, Recall = 0.42857142857142855, F-Score = 0.5 (27, 45, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.45161290322580644, F-Score = 0.3835616438356164 (28, 84, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.6	W_numbers = 0.5	
====================================Total Extracted: 191
Total Correct: 89
Total Facts in the Corpus: 274
Precision = 0.46596858638743455, Recall = 0.3248175182481752, F-Score = 0.38279569892473114
----Per Relation P/R
Relation = FDI, Precision = 0.3333333333333333, Recall = 0.14285714285714285, F-Score = 0.2 (2, 6, 14)
Relation = LIFE, Precision = 0.7, Recall = 0.875, F-Score = 0.7777777777777777 (21, 30, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.4090909090909091, Recall = 0.14285714285714285, F-Score = 0.21176470588235294 (9, 22, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3373493975903614, Recall = 0.45161290322580644, F-Score = 0.3862068965517241 (28, 83, 62)
Relation = AGL, Precision = 0.6190476190476191, Recall = 0.48148148148148145, F-Score = 0.5416666666666666 (26, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.6	W_numbers = 0.6	
====================================Total Extracted: 178
Total Correct: 82
Total Facts in the Corpus: 274
Precision = 0.4606741573033708, Recall = 0.29927007299270075, F-Score = 0.36283185840707965
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.7096774193548387, Recall = 0.9166666666666666, F-Score = 0.7999999999999999 (22, 31, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3375, Recall = 0.43548387096774194, F-Score = 0.38028169014084506 (27, 80, 62)
Relation = AGL, Precision = 0.627906976744186, Recall = 0.5, F-Score = 0.5567010309278351 (27, 43, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.6	W_numbers = 0.7	
====================================Total Extracted: 177
Total Correct: 81
Total Facts in the Corpus: 274
Precision = 0.4576271186440678, Recall = 0.2956204379562044, F-Score = 0.3592017738359202
----Per Relation P/R
Relation = FDI, Precision = 0.2857142857142857, Recall = 0.14285714285714285, F-Score = 0.19047619047619047 (2, 7, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.2857142857142857, Recall = 0.2, F-Score = 0.23529411764705882 (2, 7, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.41935483870967744, F-Score = 0.3714285714285714 (26, 78, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.6	W_numbers = 0.7999999999999999	
====================================Total Extracted: 178
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46629213483146065, Recall = 0.3029197080291971, F-Score = 0.3672566371681416
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 1.0, Recall = 0.09090909090909091, F-Score = 0.16666666666666669 (1, 1, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.375, Recall = 0.3, F-Score = 0.33333333333333326 (3, 8, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.32894736842105265, Recall = 0.4032258064516129, F-Score = 0.3623188405797101 (25, 76, 62)
Relation = AGL, Precision = 0.675, Recall = 0.5, F-Score = 0.574468085106383 (27, 40, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.6	W_numbers = 0.8999999999999999	
====================================Total Extracted: 184
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.45108695652173914, Recall = 0.3029197080291971, F-Score = 0.3624454148471616
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3333333333333333, Recall = 0.4032258064516129, F-Score = 0.36496350364963503 (25, 75, 62)
Relation = AGL, Precision = 0.6585365853658537, Recall = 0.5, F-Score = 0.5684210526315789 (27, 41, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.6	W_numbers = 0.9999999999999999	
====================================Total Extracted: 180
Total Correct: 83
Total Facts in the Corpus: 274
Precision = 0.46111111111111114, Recall = 0.3029197080291971, F-Score = 0.36563876651982385
----Per Relation P/R
Relation = FDI, Precision = 0.36363636363636365, Recall = 0.2857142857142857, F-Score = 0.32 (4, 11, 14)
Relation = LIFE, Precision = 0.6666666666666666, Recall = 0.9166666666666666, F-Score = 0.7719298245614035 (22, 33, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = 0.2, Recall = 0.09090909090909091, F-Score = 0.12500000000000003 (1, 5, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.3, Recall = 0.3, F-Score = 0.3 (3, 10, 10)
Relation = INF, Precision = 0.1111111111111111, Recall = 0.015873015873015872, F-Score = 0.027777777777777776 (1, 9, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3424657534246575, Recall = 0.4032258064516129, F-Score = 0.3703703703703704 (25, 73, 62)
Relation = AGL, Precision = 0.6923076923076923, Recall = 0.5, F-Score = 0.5806451612903226 (27, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.7	W_numbers = 0.0	
====================================Total Extracted: 223
Total Correct: 113
Total Facts in the Corpus: 274
Precision = 0.5067264573991032, Recall = 0.4124087591240876, F-Score = 0.45472837022132795
----Per Relation P/R
Relation = FDI, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 14)
Relation = LIFE, Precision = 0.6875, Recall = 0.4583333333333333, F-Score = 0.5499999999999999 (11, 16, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.0, Recall = 0.0, F-Score = 0.0 (0, 3, 10)
Relation = INF, Precision = 0.5975609756097561, Recall = 0.7777777777777778, F-Score = 0.6758620689655173 (49, 82, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.358695652173913, Recall = 0.532258064516129, F-Score = 0.4285714285714285 (33, 92, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.37037037037037035, F-Score = 0.47619047619047616 (20, 30, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.7	W_numbers = 0.1	
====================================Total Extracted: 238
Total Correct: 123
Total Facts in the Corpus: 274
Precision = 0.5168067226890757, Recall = 0.4489051094890511, F-Score = 0.48046875
----Per Relation P/R
Relation = FDI, Precision = 0.5, Recall = 0.07142857142857142, F-Score = 0.125 (1, 2, 14)
Relation = LIFE, Precision = 0.7407407407407407, Recall = 0.8333333333333334, F-Score = 0.7843137254901961 (20, 27, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.5, Recall = 0.1, F-Score = 0.16666666666666669 (1, 2, 10)
Relation = INF, Precision = 0.5822784810126582, Recall = 0.7301587301587301, F-Score = 0.6478873239436619 (46, 79, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3258426966292135, Recall = 0.46774193548387094, F-Score = 0.38410596026490074 (29, 89, 62)
Relation = AGL, Precision = 0.6666666666666666, Recall = 0.48148148148148145, F-Score = 0.5591397849462365 (26, 39, 54)
iterations = 10	Regularizer = 0.85	Top k = 3	Margin = 0.3	Averaging = true	W_mintz = 0.30000000000000004	W_keywords = 0.7	W_numbers = 0.2	
====================================Total Extracted: 244
Total Correct: 126
Total Facts in the Corpus: 274
Precision = 0.5163934426229508, Recall = 0.45985401459854014, F-Score = 0.4864864864864865
----Per Relation P/R
Relation = FDI, Precision = 0.4, Recall = 0.14285714285714285, F-Score = 0.21052631578947364 (2, 5, 14)
Relation = LIFE, Precision = 0.7241379310344828, Recall = 0.875, F-Score = 0.7924528301886793 (21, 29, 24)
Relation = INTERNET, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 18)
Relation = ELEC, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 11)
Relation = GDP, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 8)
Relation = CO2, Precision = 0.6666666666666666, Recall = 0.2, F-Score = 0.30769230769230765 (2, 3, 10)
Relation = INF, Precision = 0.5897435897435898, Recall = 0.7301587301587301, F-Score = 0.6524822695035462 (46, 78, 63)
Relation = GOODS, Precision = -1.0, Recall = 0.0, F-Score = 0.0 (0, null, 10)
Relation = POP, Precision = 0.3218390804597701, Recall = 0.45161290322580644, F-Score = 0.3758389261744966 (28, 87, 62)
Relation = AGL, Precision = 0.6428571428571429, Recall = 0.5, F-Score = 0.5625000000000001 (27, 42, 54)