8-Hybrid sampling - smotetomek.ipynb

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BILL_AMT3  BILL_AMT4  BILL_AMT5  BILL_AMT6  PAY_AMT1  \\\n","0         -2  ...      689.0        0.0        0.0        0.0       0.0   \n","1          0  ...     2682.0     3272.0     3455.0     3261.0       0.0   \n","2          0  ...    13559.0    14331.0    14948.0    15549.0    1518.0   \n","3          0  ...    49291.0    28314.0    28959.0    29547.0    2000.0   \n","4          0  ...    35835.0    20940.0    19146.0    19131.0    2000.0   \n","...      ...  ...        ...        ...        ...        ...       ...   \n","29960      0  ...   208365.0    88004.0    31237.0    15980.0    8500.0   \n","29961      0  ...     3502.0     8979.0     5190.0        0.0    1837.0   \n","29962      0  ...     2758.0    20878.0    20582.0    19357.0       0.0   \n","29963      0  ...    76304.0    52774.0    11855.0    48944.0   85900.0   \n","29964      0  ...    49764.0    36535.0    32428.0    15313.0    2078.0   \n","\n","       PAY_AMT2  PAY_AMT3  PAY_AMT4  PAY_AMT5  PAY_AMT6  \n","0   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int64"]},"metadata":{},"execution_count":5}]},{"cell_type":"code","source":["crdcd_fd['default.payment.next.month'].value_counts()"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Griy5m-juW7e","executionInfo":{"status":"ok","timestamp":1694000844288,"user_tz":-330,"elapsed":10,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"711416d7-bd18-431b-8419-d0c5f0bf01d5"},"execution_count":6,"outputs":[{"output_type":"execute_result","data":{"text/plain":["0    23335\n","1     6630\n","Name: default.payment.next.month, dtype: int64"]},"metadata":{},"execution_count":6}]},{"cell_type":"markdown","source":["### SMOTETomek"],"metadata":{"id":"1azxygDv_xLW"}},{"cell_type":"code","source":["import imblearn\n","from imblearn.combine import SMOTETomek as crdcd_fd_mek\n","from collections import Counter as crdcd_fd_ctt\n","\n","print('stating dataset count %s' % crdcd_fd_ctt(crdcd_fd_o_Y))\n","crdcd_fd_mdl = crdcd_fd_mek()\n","crdcd_fd_i_X, crdcd_fd_o_Y = crdcd_fd_mdl.fit_resample(crdcd_fd_i_X, crdcd_fd_o_Y)\n","print('After under sampling dataset count %s' % crdcd_fd_ctt(crdcd_fd_o_Y))"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"GmvQFSz1_x16","executionInfo":{"status":"ok","timestamp":1694000939495,"user_tz":-330,"elapsed":17758,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"0a7b5860-94f5-45ad-f889-46ae03502a84"},"execution_count":7,"outputs":[{"output_type":"stream","name":"stdout","text":["stating dataset count Counter({0: 23335, 1: 6630})\n","After under sampling dataset count Counter({1: 22712, 0: 22712})\n"]}]},{"cell_type":"code","source":["from sklearn.model_selection import train_test_split as crdcd_fdtrrn\n","from sklearn.metrics import classification_report as crdcd_fdclfrt\n","from sklearn.metrics import confusion_matrix as crdcd_fdcfssm\n","from sklearn.metrics import ConfusionMatrixDisplay as crdcd_fdcfxdp\n","from sklearn.model_selection import GridSearchCV as crdcd_fdgshc\n","import warnings as crdcd_fdwin\n","crdcd_fdwin.filterwarnings(\"ignore\")\n","import time as crdcd_fdttee"],"metadata":{"id":"3qXm4ocouqHU","executionInfo":{"status":"ok","timestamp":1694001002144,"user_tz":-330,"elapsed":761,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}}},"execution_count":8,"outputs":[]},{"cell_type":"code","source":["# train==60%\n","crdcd_fd_i_Xnt, crdcd_fd_i_Xst, crdcd_fd_o_Ynt, crdcd_fd_o_Yst = crdcd_fdtrrn(crdcd_fd_i_X, crdcd_fd_o_Y, test_size=0.4, random_state=33)"],"metadata":{"id":"t6JPdLy3vijF","executionInfo":{"status":"ok","timestamp":1694001008001,"user_tz":-330,"elapsed":918,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}}},"execution_count":9,"outputs":[]},{"cell_type":"code","source":["# validation==20% & test==20%\n","crdcd_fd_i_Xdv, crdcd_fd_i_Xst, crdcd_fd_o_Ydv, crdcd_fd_o_Yst = crdcd_fdtrrn(crdcd_fd_i_Xst, crdcd_fd_o_Yst, test_size=0.5, random_state=33)"],"metadata":{"id":"7__eWRsuvi5q","executionInfo":{"status":"ok","timestamp":1694001009406,"user_tz":-330,"elapsed":658,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}}},"execution_count":10,"outputs":[]},{"cell_type":"code","source":["print(\"credit card train   : \", crdcd_fd_i_Xnt.shape[0])\n","print(\"credit card validation: \", crdcd_fd_i_Xdv.shape[0])\n","print(\"credit card test : \", crdcd_fd_i_Xst.shape[0])"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7O02iTp_vtzA","executionInfo":{"status":"ok","timestamp":1694001010657,"user_tz":-330,"elapsed":11,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"8d1668a8-098b-484c-a0d3-f1ca1e49acd1"},"execution_count":11,"outputs":[{"output_type":"stream","name":"stdout","text":["credit card train   :  27254\n","credit card validation:  9085\n","credit card test :  9085\n"]}]},{"cell_type":"code","source":["crdcd_fd_i_Xnt"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":443},"id":"pOcF7A5FwvAx","executionInfo":{"status":"ok","timestamp":1694001012970,"user_tz":-330,"elapsed":27,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"43fd9583-ae6d-41eb-81f6-178fa925d09b"},"execution_count":12,"outputs":[{"output_type":"execute_result","data":{"text/plain":["       LIMIT_BAL  SEX  EDUCATION  MARRIAGE  AGE  PAY_0  PAY_2  PAY_3  PAY_4  \\\n","2070    260000.0    1          1         1   43      1     -2     -2     -1   \n","42521   150000.0    1          1         2   27      0      0      0      0   \n","14363   200000.0    2          2         1   36     -1     -1     -1     -1   \n","23103   500000.0    2          2         2   50     -1     -1     -1      0   \n","21464    40000.0    2          1         2   23      0      0      0      0   \n","...          ...  ...        ...       ...  ...    ...    ...    ...    ...   \n","27282   150000.0    2          1         1   36      0      0      0      0   \n","578     210000.0    2          3         2   31      1     -2     -2     -2   \n","38616   500000.0    2          1         1   44      0     -1     -1     -1   \n","2439    100000.0    2          2         2   24      0      0      0      0   \n","23572   420000.0    1          1         1   43     -2     -2     -2     -2   \n","\n","       PAY_5  ...      BILL_AMT3      BILL_AMT4      BILL_AMT5      BILL_AMT6  \\\n","2070       0  ...       0.000000   14855.000000   13650.000000       0.000000   \n","42521      0  ...    3582.743802    3063.661530     944.780214    1293.288855   \n","14363     -1  ...    1662.000000   14490.000000   34902.000000     390.000000   \n","23103      0  ...    5306.000000    5453.000000    3221.000000    1269.000000   \n","21464      0  ...   12970.000000   13246.000000   11024.000000    9798.000000   \n","...      ...  ...            ...            ...            ...            ...   \n","27282      0  ...   40357.000000   41284.000000   42105.000000   43146.000000   \n","578       -2  ...       0.000000       0.000000       0.000000       0.000000   \n","38616     -1  ...     188.612033     188.612033     188.612033     188.612033   \n","2439       0  ...  100657.000000  101565.000000  101116.000000  101764.000000   \n","23572     -2  ...    2977.000000    2987.000000    3624.000000    3165.000000   \n","\n","          PAY_AMT1     PAY_AMT2      PAY_AMT3      PAY_AMT4     PAY_AMT5  \\\n","2070      0.000000     0.000000  15055.000000      0.000000     0.000000   \n","42521  4577.246610  1667.782097    359.024894    944.780214  1293.288855   \n","14363  1308.000000  1662.000000  14987.000000  34902.000000   390.000000   \n","23103  2393.000000  5308.000000   1000.000000      0.000000     0.000000   \n","21464  1200.000000  1751.000000   1027.000000    250.000000   385.000000   \n","...            ...          ...           ...           ...          ...   \n","27282  1635.000000  1700.000000   1600.000000   1507.000000  1719.000000   \n","578       0.000000     0.000000      0.000000      0.000000     0.000000   \n","38616   188.612033   188.612033    188.612033    188.612033   188.612033   \n","2439   4902.000000  4507.000000   3936.000000   3982.000000  4135.000000   \n","23572  3010.000000  3035.000000   3029.000000   3637.000000  3222.000000   \n","\n","           PAY_AMT6  \n","2070       0.000000  \n","42521  49209.915464  \n","14363   7500.000000  \n","23103   1557.000000  \n","21464   1000.000000  \n","...             ...  \n","27282   2000.000000  \n","578        0.000000  \n","38616    188.612033  \n","2439    3676.000000  \n","23572   3025.000000  \n","\n","[27254 rows x 23 columns]"],"text/html":["\n","  <div id=\"df-cf7e1c8c-6d43-4664-a239-e23c1688f14f\" class=\"colab-df-container\">\n","    <div>\n","<style scoped>\n","    .dataframe tbody tr th:only-of-type {\n","        vertical-align: middle;\n","    }\n","\n","    .dataframe tbody tr th {\n","        vertical-align: top;\n","    }\n","\n","    .dataframe thead th {\n","        text-align: right;\n","    }\n","</style>\n","<table border=\"1\" class=\"dataframe\">\n","  <thead>\n","    <tr style=\"text-align: right;\">\n","      <th></th>\n","      <th>LIMIT_BAL</th>\n","      <th>SEX</th>\n","      <th>EDUCATION</th>\n","      <th>MARRIAGE</th>\n","      <th>AGE</th>\n","      <th>PAY_0</th>\n","      <th>PAY_2</th>\n","      <th>PAY_3</th>\n","      <th>PAY_4</th>\n","      <th>PAY_5</th>\n","      <th>...</th>\n","      <th>BILL_AMT3</th>\n","      <th>BILL_AMT4</th>\n","      <th>BILL_AMT5</th>\n","      <th>BILL_AMT6</th>\n","      <th>PAY_AMT1</th>\n","      <th>PAY_AMT2</th>\n","      <th>PAY_AMT3</th>\n","      <th>PAY_AMT4</th>\n","      <th>PAY_AMT5</th>\n","      <th>PAY_AMT6</th>\n","    </tr>\n","  </thead>\n","  <tbody>\n","    <tr>\n","      <th>2070</th>\n","      <td>260000.0</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>1</td>\n","      <td>43</td>\n","      <td>1</td>\n","      <td>-2</td>\n","      <td>-2</td>\n","      <td>-1</td>\n","      <td>0</td>\n","      <td>...</td>\n","      <td>0.000000</td>\n","      <td>14855.000000</td>\n","      <td>13650.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>0.000000</td>\n","      <td>15055.000000</td>\n","      <td>0.000000</td>\n","      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crd_par_bs.best_score_)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"SxrAZnggxGuT","executionInfo":{"status":"ok","timestamp":1694001023490,"user_tz":-330,"elapsed":1771,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"a7e739c2-50c1-4740-934f-d0bcc14b8b9d"},"execution_count":15,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 2 folds for each of 90 candidates, totalling 180 fits\n","{'criterion': 'entropy', 'max_features': 'auto', 'min_samples_leaf': 2, 'splitter': 'random'}\n","credit card-score:  0.683\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_MA= crdcd_fddssn(criterion= 'entropy', max_features= 'auto', min_samples_leaf=2 ,splitter='random' )\n","crdcd_fd_MA.fit(crdcd_fd_i_Xnt, crdcd_fd_o_Ynt)\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","print(\"Duration for Training:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"jgOwKjWzzmrY","executionInfo":{"status":"ok","timestamp":1694001109868,"user_tz":-330,"elapsed":939,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"969416a1-e455-4089-bc0e-87f8926e9f73"},"execution_count":17,"outputs":[{"output_type":"stream","name":"stdout","text":["Duration for Training: 0.12132596969604492\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MA.predict(crdcd_fd_i_Xdv)\n","print(crdcd_fdclfrt(crdcd_fd_o_Ydv, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Ydv, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for validation:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"STzwfczcqfYx","executionInfo":{"status":"ok","timestamp":1694001113115,"user_tz":-330,"elapsed":1434,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"fd8fbcd2-c26c-4433-e721-20f0e836fbde"},"execution_count":18,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.71      0.78      0.74      4551\n","           1       0.76      0.68      0.72      4534\n","\n","    accuracy                           0.73      9085\n","   macro avg       0.73      0.73      0.73      9085\n","weighted avg       0.73      0.73      0.73      9085\n","\n","Duration for validation: 0.03322911262512207\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MA.predict(crdcd_fd_i_Xst)\n","print(crdcd_fdclfrt(crdcd_fd_o_Yst, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Yst, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for test:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":624},"id":"-Ua6Mcnfzp6Y","executionInfo":{"status":"ok","timestamp":1694001117363,"user_tz":-330,"elapsed":36,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"f71f31f7-941b-4102-f82a-d899c9f1d392"},"execution_count":19,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.70      0.78      0.74      4529\n","           1       0.75      0.67      0.71      4556\n","\n","    accuracy                           0.72      9085\n","   macro avg       0.73      0.72      0.72      9085\n","weighted avg       0.73      0.72      0.72      9085\n","\n","Duration for test: 0.04635500907897949\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["#### Adaboost classifier"],"metadata":{"id":"u7EFvfYE2DPo"}},{"cell_type":"code","source":["from sklearn.ensemble import AdaBoostClassifier as crdcd_fdadbst\n","\n","crd_par = { 'algorithm':['SAMME','SAMME.R'],\n","              'estimator': ['object',None],\n","               'n_estimators': [50,60,70,80,90],\n","            'learning_rate':[2.0,3.0,4.0,5.0,6.0]}\n","\n","\n","crd_par_bs = crdcd_fdadbst(random_state=33)\n","crd_par_bs = crdcd_fdgshc(crd_par_bs, crd_par, cv=2, verbose=1)\n","crd_par_bs.fit(crdcd_fd_i_Xnt.sample(1000, random_state=33), crdcd_fd_o_Ynt.sample(1000, random_state=33))\n","\n","print( crd_par_bs.best_params_)\n","print(\"credit card-score: \", crd_par_bs.best_score_)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"yjGVVmb02Pzk","executionInfo":{"status":"ok","timestamp":1694001142373,"user_tz":-330,"elapsed":21561,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"bdccc3d8-6201-4268-d9e6-6cb2723c863b"},"execution_count":20,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 2 folds for each of 100 candidates, totalling 200 fits\n","{'algorithm': 'SAMME', 'estimator': None, 'learning_rate': 3.0, 'n_estimators': 70}\n","credit card-score:  0.635\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_MB= crdcd_fdadbst(algorithm= 'SAMME', estimator= None, learning_rate=3.0 ,n_estimators=70 )\n","crdcd_fd_MB.fit(crdcd_fd_i_Xnt, crdcd_fd_o_Ynt)\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","print(\"Duration for Training:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"yfkj7qsj3AL5","executionInfo":{"status":"ok","timestamp":1694001175597,"user_tz":-330,"elapsed":7998,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"0cf9df07-27d4-44db-e56c-ad90b6ef2274"},"execution_count":21,"outputs":[{"output_type":"stream","name":"stdout","text":["Duration for Training: 7.503217458724976\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MB.predict(crdcd_fd_i_Xdv)\n","print(crdcd_fdclfrt(crdcd_fd_o_Ydv, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Ydv, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for validation:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"_sxF2mZ-q9rW","executionInfo":{"status":"ok","timestamp":1694001178425,"user_tz":-330,"elapsed":880,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"5abc1bdd-1a92-4afa-c7c6-aaa20ba091d7"},"execution_count":22,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.62      0.86      0.72      4551\n","           1       0.77      0.47      0.58      4534\n","\n","    accuracy                           0.66      9085\n","   macro avg       0.69      0.66      0.65      9085\n","weighted avg       0.69      0.66      0.65      9085\n","\n","Duration for validation: 0.09197115898132324\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MB.predict(crdcd_fd_i_Xst)\n","print(crdcd_fdclfrt(crdcd_fd_o_Yst, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Yst, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for test:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"YVCwuMzw3avo","executionInfo":{"status":"ok","timestamp":1694001183157,"user_tz":-330,"elapsed":797,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"fb725ff6-6c32-43c2-b3a9-b7061cd1000f"},"execution_count":23,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.61      0.85      0.71      4529\n","           1       0.76      0.47      0.58      4556\n","\n","    accuracy                           0.66      9085\n","   macro avg       0.69      0.66      0.65      9085\n","weighted avg       0.69      0.66      0.65      9085\n","\n","Duration for test: 0.1458299160003662\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["#### XGBoost"],"metadata":{"id":"apLku5qH3k0K"}},{"cell_type":"code","source":["from xgboost import XGBClassifier as crdcd_fdxggb\n","\n","crd_par = { 'n_estimators': [10,20,30,40,50],\n","               'learning_rate': [0.1,0.2,0.3,0.4,0.5],\n","            'subsample':[0.2,0.3,0.4,0.5,0.6]}\n","\n","\n","crd_par_bs = crdcd_fdxggb(random_state=33)\n","crd_par_bs = crdcd_fdgshc(crd_par_bs, crd_par, cv=2, verbose=1)\n","crd_par_bs.fit(crdcd_fd_i_Xnt.sample(1000, random_state=33), crdcd_fd_o_Ynt.sample(1000, random_state=33))\n","\n","print( crd_par_bs.best_params_)\n","print(\"credit card-score: \", crd_par_bs.best_score_)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"HOttPa3k4A9W","executionInfo":{"status":"ok","timestamp":1694001206860,"user_tz":-330,"elapsed":20562,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"0caa8f5b-668b-44c1-d7f0-ec6a468ea29e"},"execution_count":24,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 2 folds for each of 125 candidates, totalling 250 fits\n","{'learning_rate': 0.1, 'n_estimators': 40, 'subsample': 0.6}\n","credit card-score:  0.755\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_MC= crdcd_fdxggb(learning_rate= 0.1, n_estimators= 40, subsample=0.6 )\n","crdcd_fd_MC.fit(crdcd_fd_i_Xnt, crdcd_fd_o_Ynt)\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","print(\"Duration for Training:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"Ha9zd-d742M3","executionInfo":{"status":"ok","timestamp":1694001220981,"user_tz":-330,"elapsed":7797,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"690334af-9ff6-4105-cac2-0f7e83f3e4e3"},"execution_count":25,"outputs":[{"output_type":"stream","name":"stdout","text":["Duration for Training: 7.325737237930298\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MC.predict(crdcd_fd_i_Xdv)\n","print(crdcd_fdclfrt(crdcd_fd_o_Ydv, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Ydv, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for validation:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"RsUqfzeIrOAu","executionInfo":{"status":"ok","timestamp":1694001223553,"user_tz":-330,"elapsed":660,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"cd909da5-2ac2-4de3-db13-8efc635660ae"},"execution_count":26,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.77      0.82      0.80      4551\n","           1       0.81      0.76      0.78      4534\n","\n","    accuracy                           0.79      9085\n","   macro avg       0.79      0.79      0.79      9085\n","weighted avg       0.79      0.79      0.79      9085\n","\n","Duration for validation: 0.06170392036437988\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"iVBORw0KGgoAAAANSUhEUgAAAgMAAAGwCAYAAAA0bWYRAAAAOXRFWHRTb2Z0d2FyZQBNYXRwbG90bGliIHZlcnNpb24zLjcuMSwgaHR0cHM6Ly9tYXRwbG90bGliLm9yZy/bCgiHAAAACXBIWXMAAA9hAAAPYQGoP6dpAABAaklEQVR4nO3dfVxUdfr/8feADHcyIBogiohRKuXNamXslmkSaG7p6m7bZkne9bPFbrTU7EZNS/vajWma7q6b2q6WbaVbWhpqaiZaWqR5Q2mWmCC1KAjK3cz5/WFMTTrKONzJeT0fj/N4OOd8zplrjOSa6/qcz7EYhmEIAACYlk9dBwAAAOoWyQAAACZHMgAAgMmRDAAAYHIkAwAAmBzJAAAAJkcyAACAyTWq6wC84XA4dOTIEYWEhMhisdR1OAAADxmGoRMnTig6Olo+PjX3/bSkpERlZWVeX8dqtSogIKAaIqpfLupk4MiRI4qJianrMAAAXsrOzlbLli1r5NolJSWKi22s3Dy719eKiorSwYMHG1xCcFEnAyEhIZKk7z5rLVtjOh5omP5weYe6DgGoMRUq12a95/z3vCaUlZUpN8+u73a0li3kwn9XFJ5wKLbrtyorKyMZqE8qWwO2xj5e/QcG6rNGFr+6DgGoOT8tiF8brd7GIRY1Drnw93Go4bajL+pkAACAqrIbDtm9eBqP3XBUXzD1DMkAAMAUHDLk0IVnA96cW99RWwcAwOSoDAAATMEhh7wp9Ht3dv1GMgAAMAW7YchuXHip35tz6zvaBAAAmByVAQCAKTCB0D2SAQCAKThkyE4ycFa0CQAAMDkqAwAAU6BN4B7JAADAFLibwD3aBAAAmByVAQCAKTh+2rw5v6EiGQAAmILdy7sJvDm3viMZAACYgt2Ql08trL5Y6hvmDAAAYHJUBgAApsCcAfdIBgAApuCQRXZZvDq/oaJNAACAyVEZAACYgsM4vXlzfkNFMgAAMAW7l20Cb86t72gTAABgclQGAACmQGXAPZIBAIApOAyLHIYXdxN4cW59R5sAAACTIxkAAJhCZZvAm80T8+bNU8eOHWWz2WSz2ZSYmKj333/febxHjx6yWCwu28iRI12ucejQIfXt21dBQUGKiIjQ2LFjVVFR4TJmw4YN6tKli/z9/RUfH69FixZ5/HdDmwAAYAp2+cjuxXdgu4fjW7ZsqWeeeUaXXXaZDMPQ4sWL1a9fP33++ee64oorJEkjRozQlClTnOcEBQX9/H52u/r27auoqCht2bJFOTk5Gjx4sPz8/DRt2jRJ0sGDB9W3b1+NHDlSS5Ys0bp16zR8+HA1b95cKSkpVY6VZAAAYAqGl3MGDA/PveWWW1xeP/3005o3b562bt3qTAaCgoIUFRV11vM/+OAD7dmzR2vXrlVkZKQ6d+6sqVOnavz48Zo8ebKsVqvmz5+vuLg4Pf/885Kk9u3ba/PmzZo5c6ZHyQBtAgAAPFBYWOiylZaWnvccu92u119/XcXFxUpMTHTuX7JkiZo1a6Yrr7xSEyZM0MmTJ53HMjIy1KFDB0VGRjr3paSkqLCwULt373aOSUpKcnmvlJQUZWRkePSZqAwAAEyhum4tjImJcdk/adIkTZ48+azn7Nq1S4mJiSopKVHjxo21fPlyJSQkSJLuuOMOxcbGKjo6Wjt37tT48eOVlZWlt99+W5KUm5vrkghIcr7Ozc0955jCwkKdOnVKgYGBVfpsJAMAAFOwGz6yG17MGfhpOeLs7GzZbDbnfn9/f7fntG3bVpmZmSooKNCbb76p1NRUbdy4UQkJCbrnnnuc4zp06KDmzZurV69eOnDggC699NILjvNC0CYAAMADlXcHVG7nSgasVqvi4+PVtWtXTZ8+XZ06ddKsWbPOOrZbt26SpP3790uSoqKidPToUZcxla8r5xm4G2Oz2apcFZBIBgAAJuGQRQ75eLF5v+iQw+FwO8cgMzNTktS8eXNJUmJionbt2qW8vDznmPT0dNlsNmerITExUevWrXO5Tnp6usu8hKqgTQAAMIXaXo54woQJ6tOnj1q1aqUTJ05o6dKl2rBhg9asWaMDBw5o6dKluvnmm9W0aVPt3LlTo0ePVvfu3dWxY0dJUnJyshISEnTXXXdpxowZys3N1eOPP660tDRnNWLkyJGaM2eOxo0bp6FDh2r9+vV64403tGrVKo9iJRkAAKAG5OXlafDgwcrJyVFoaKg6duyoNWvW6KabblJ2drbWrl2rF198UcXFxYqJidHAgQP1+OOPO8/39fXVypUrde+99yoxMVHBwcFKTU11WZcgLi5Oq1at0ujRozVr1iy1bNlSCxYs8Oi2QkmyGIZx0T6hubCwUKGhoTr2VRvZQuh4oGFKie5c1yEANabCKNcG/VcFBQUuk/KqU+XviuVfXKbgEN8Lvk7xCbv+0OnrGo21rlAZAACYwuk5A148qKgBP7WQr9MAAJgclQEAgCk4vHw2gUMXbVf9vEgGAACm4P2iQyQDAABc1CrXC7jw8xtuMsCcAQAATI7KAADAFOyGRXYvHmHszbn1HckAAMAU7F5OILTTJgAAAA0VlQEAgCk4DB85vLibwMHdBAAAXNxoE7hHmwAAAJOjMgAAMAWHvLsjwFF9odQ7JAMAAFPwftGhhltMb7ifDAAAVAmVAQCAKXj/bIKG+/2ZZAAAYAoOWeSQN3MGWIEQAICLGpUB9xruJwMAAFVCZQAAYAreLzrUcL8/kwwAAEzBYVjk8GadgQb81MKGm+YAAIAqoTIAADAFh5dtgoa86BDJAADAFLx/amHDTQYa7icDAABVQmUAAGAKdllk92LhIG/Ore9IBgAApkCbwL2G+8kAAECVUBkAAJiCXd6V+u3VF0q9QzIAADAF2gTukQwAAEyBBxW513A/GQAAqBIqAwAAUzBkkcOLOQMGtxYCAHBxo03gXsP9ZAAAoEqoDAAATIFHGLtHMgAAMAW7l08t9Obc+q7hfjIAAFAlVAYAAKZAm8A9kgEAgCk45COHFwVxb86t7xruJwMAAFVCZQAAYAp2wyK7F6V+b86t70gGAACmwJwB90gGAACmYHj51EKDFQgBAEBDRWUAAGAKdllk9+JhQ96cW9+RDAAATMFheNf3dxjVGEw9Q5sAAACTozJgMu8ubqpVrzbT0WyrJCm2bYkGjc7V1TeeUG62VandEs563mN/O6jutxRIklKiO59xfMLL36pH/+OSpM3vhWrl4mb6Znegysssim1bojsfytVVPU7UyGcCzmXxtj2Kiik/Y/87i5pq7qMt1Ty2VCMmHtEV1xTLz2pox4chmvt4Cx3/0c85Nr7DSQ17LEeXdzoph92ize+F6m+To1Vy0rc2Pwq85PByAqE359Z3JAMmc0nzcg199IhaxJXKMCxK/08TTR4Sp7kffKWY+BK9lvmly/j3/t1Ub86L0NU3uv4if2jmIV3Vs9D5urHN7vzzrq2N1aX7CQ2ZcESNbXatWdZUk1LjNGvl14rvcKpmPyDwK/f3uVw+vj/Xd1u3K9Ezy77RR++GyT/QrmmvfaNv9gRq/J8ulSSljsvVlMUH9cDvL5NhWBQeWa5nXv9GG98J09zHWiiosUMjp3yvh1/M1lP3tK6jT4UL4ZBFDi/6/t6cW9/VizRn7ty5at26tQICAtStWzd98skndR1Sg3VtcqGu6XVCLdqUqeWlpRrySK4Cgh3atyNIvr5SeESFy7bl/VB1v+W4AoMdLtdpbLO7jLMG/PyP7b1TvtdtaXlq2/mUWrQp09AJOYqOK9XWdFttf1xABfmNdOwHP+fWLalQRw5atTMjWFdcc1KRMWV6/sEYfbsvUN/uC9SzD7TSZZ1OqfN1RZKkbkmFqqiwaM6jLXT4QIC++iJIs8e31PW/L1B069I6/nRA9ajzZGDZsmUaM2aMJk2apM8++0ydOnVSSkqK8vLy6jq0Bs9ulzasCFPpSR+1v6r4jONf7wzUgd1BSvnL/844NuexFvrTFVfqvpsv05rXwmWcY2KNwyGdKvJVSJjd/SCgFjTyc+jGgce05vVwSRb5WR2SIZWX/fyNr7zUIsMhXXHN6f8n/Pwdqii3yPjFxLOyktP/dFaOwcWhcgVCb7aGqs6TgRdeeEEjRozQkCFDlJCQoPnz5ysoKEivvPJKXYfWYB3cG6B+8R30+9adNPuRGE3850HFXn7mN5zVrzVVq8tKdMXVJ132Dx6bo8fmf6fprx/QdTcX6KVHW+q//2zm9v3enBehUyd9dMOtx6v7owAe+W3vQjW22fXBG+GSpH07glVy0kfDHsuRf6BD/oF2jZh4RL6NpPCI0/MMvtgcoiaXlOuP9+apkZ9DjUMrNPTRHEk/j8HFoXLOgDebJ+bNm6eOHTvKZrPJZrMpMTFR77//vvN4SUmJ0tLS1LRpUzVu3FgDBw7U0aNHXa5x6NAh9e3bV0FBQYqIiNDYsWNVUVHhMmbDhg3q0qWL/P39FR8fr0WLFnn8d1OnyUBZWZl27NihpKQk5z4fHx8lJSUpIyPjjPGlpaUqLCx02eC5lpeW6uX0LM1e9ZV+P/hHPfdArL77yt9lTOkpiz5c3uSsVYFBo4/qimuKFd/hlP48Kk9/ujdP/5kXcdb3Wv92mP79QqQem/+twppVnHUMUFtS/vI/ffqhTflHT08OLMhvpKf+X2t1u6lQK77epeVZXyrY5tDXOwNlOE5/C/zuqwA992ArDfx/P+idA7v0WuYe5WZblZ/XyKVaAPxay5Yt9cwzz2jHjh3avn27brzxRvXr10+7d++WJI0ePVrvvvuu/vOf/2jjxo06cuSIBgwY4Dzfbrerb9++Kisr05YtW7R48WItWrRIEydOdI45ePCg+vbtq549eyozM1MPPvighg8frjVr1ngUa51OIPzxxx9lt9sVGRnpsj8yMlL79u07Y/z06dP15JNP1lZ4DZaf1VCLuDJJ0mUdTykrM0grFlyiB2Ycdo75aFWYSk9ZlPSn/PNer12Xk1r6YpTKSi2y+v/cL9iwIkwvPtxKj/39W3XpXlT9HwTwQESLMv3m+iJNHd7aZf9nG0M05LftZQuvkL3CouJCX72WuVs5h6zOMR8ub6IPlzdRWLNylZz0kWFIA+75QTnfWYWLh0NePpvgpwmEv/4i6u/vL39//zPG33LLLS6vn376ac2bN09bt25Vy5Yt9c9//lNLly7VjTfeKElauHCh2rdvr61bt+raa6/VBx98oD179mjt2rWKjIxU586dNXXqVI0fP16TJ0+W1WrV/PnzFRcXp+eff16S1L59e23evFkzZ85USkpKlT9bnbcJPDFhwgQVFBQ4t+zs7LoOqUEwDKm8zPVHYc1rTXVtcqHCmp6/z39gd6Aah1W4JAIfLg/T82Na6ZGXv1W3JCo4qHvJt+fr+I+NtG3t2SeyFuY3UnGhrzr97oTCmlVo6wdnjjv+o59KTvrqhn7HVV7qo882hdR02KhGxk93E1zoZvyUDMTExCg0NNS5TZ8+/bzvbbfb9frrr6u4uFiJiYnasWOHysvLXSrj7dq1U6tWrZyV8YyMDHXo0MHlC3NKSooKCwud1YWMjAyXa1SOOVt1/VzqtDLQrFkz+fr6ntEjOXr0qKKios4Y7y77QtW9Mq25rr6xUJe0KNepIh99uLyJdm5prKeXHnCO+f6gVbu2Bmvqv7854/ytH9h07IdGat/1pPz8HfpsU4henx2hP478wTlm/dtheu7BWN075bDadTmp/LzTP2b+AQ4F2xxnXBOoaRaLoeQ/52vtf5rIYXf9Zpj853wd+tpfBf87/XN975Tvtfzvl+jwgQDnmFuH/Kg924N0qthXXbqf0PAnjuiVac1VXMg6AxeT6npqYXZ2tmy2n5PFc/1e2rVrlxITE1VSUqLGjRtr+fLlSkhIUGZmpqxWq8LCwlzGR0ZGKjc3V5KUm5t71sp55bFzjSksLNSpU6cUGBhYpc9Wp8mA1WpV165dtW7dOvXv31+S5HA4tG7dOo0aNaouQ2uwjv/YSM/eH6v8vEYKCrErrn2Jnl56QF1v+LmMv+b1pmrWvFxdbzhzkSBfP0PvLmqmv032l2FI0a3L9P8mH1GfQT/PLXh/STPZKyya82iM5jwa49x/0235evjFQzX7AYGz+E33IkW2LNea15uecazlpSUaMiFHIWF2Hc3202uzI/X2310nxLbtfFJ3PXT6NtzD+/01e1xLrXsrvLbCRz1TOSGwKtq2bavMzEwVFBTozTffVGpqqjZu3FjDEXquzhcdGjNmjFJTU3XVVVfpmmuu0Ysvvqji4mINGTKkrkNrkMa8cP7WytAJORo6Ieesx67ueUJX9zz3SoLPvrX/gmIDaspnG0OUEt3prMdemRatV6ZFn/P8Zx9oVRNhoZbVxQqEVqtV8fHxkqSuXbvq008/1axZs/TnP/9ZZWVlOn78uEt14JeV8aioqDPW3amspP9yzNmq6zabrcpVAakezBn485//rOeee04TJ05U586dlZmZqdWrV59R9gAAwBuVbQJvNq9jcDhUWlqqrl27ys/PT+vWrXMey8rK0qFDh5SYmChJSkxM1K5du1zW3UlPT5fNZlNCQoJzzC+vUTmm8hpVVeeVAUkaNWoUbQEAQIMyYcIE9enTR61atdKJEye0dOlSbdiwQWvWrFFoaKiGDRumMWPGKDw8XDabTffdd58SExN17bXXSpKSk5OVkJCgu+66SzNmzFBubq4ef/xxpaWlOecpjBw5UnPmzNG4ceM0dOhQrV+/Xm+88YZWrVrlUaz1IhkAAKCm1fazCfLy8jR48GDl5OQoNDRUHTt21Jo1a3TTTTdJkmbOnCkfHx8NHDhQpaWlSklJ0csvv+w839fXVytXrtS9996rxMREBQcHKzU1VVOmTHGOiYuL06pVqzR69GjNmjVLLVu21IIFCzy6rVCSLIZxroVk67fCwkKFhobq2FdtZAup844HUCPO9pRIoKGoMMq1Qf9VQUFBlSflearyd0XfNcPlF3zha0OUF5dpVcqCGo21rvAbFAAAk6NNAAAwhepaZ6AhIhkAAJgCyYB7tAkAADA5KgMAAFOgMuAeyQAAwBQMeX574K/Pb6hIBgAApkBlwD3mDAAAYHJUBgAApkBlwD2SAQCAKZAMuEebAAAAk6MyAAAwBSoD7pEMAABMwTAsMrz4he7NufUdbQIAAEyOygAAwBQcsni16JA359Z3JAMAAFNgzoB7tAkAADA5KgMAAFNgAqF7JAMAAFOgTeAeyQAAwBSoDLjHnAEAAEyOygAAwBQML9sEDbkyQDIAADAFQ5JheHd+Q0WbAAAAk6MyAAAwBYcssrAC4VmRDAAATIG7CdyjTQAAgMlRGQAAmILDsMjCokNnRTIAADAFw/DyboIGfDsBbQIAAEyOygAAwBSYQOgeyQAAwBRIBtwjGQAAmAITCN1jzgAAACZHZQAAYArcTeAeyQAAwBROJwPezBmoxmDqGdoEAACYHJUBAIApcDeBeyQDAABTMH7avDm/oaJNAACAyVEZAACYAm0C90gGAADmQJ/ALZIBAIA5eFkZUAOuDDBnAAAAk6MyAAAwBVYgdI9kAABgCkwgdI82AQAAJkdlAABgDobFu0mADbgyQDIAADAF5gy4R5sAAACTozIAADAHFh1yi8oAAMAUKu8m8GbzxPTp03X11VcrJCREERER6t+/v7KyslzG9OjRQxaLxWUbOXKky5hDhw6pb9++CgoKUkREhMaOHauKigqXMRs2bFCXLl3k7++v+Ph4LVq0yKNYq1QZeOedd6p8wVtvvdWjAAAAaIg2btyotLQ0XX311aqoqNCjjz6q5ORk7dmzR8HBwc5xI0aM0JQpU5yvg4KCnH+22+3q27evoqKitGXLFuXk5Gjw4MHy8/PTtGnTJEkHDx5U3759NXLkSC1ZskTr1q3T8OHD1bx5c6WkpFQp1iolA/3796/SxSwWi+x2e5XGAgBQ62qx1L969WqX14sWLVJERIR27Nih7t27O/cHBQUpKirqrNf44IMPtGfPHq1du1aRkZHq3Lmzpk6dqvHjx2vy5MmyWq2aP3++4uLi9Pzzz0uS2rdvr82bN2vmzJlVTgaq1CZwOBxV2kgEAAD1VXW1CQoLC1220tLSKr1/QUGBJCk8PNxl/5IlS9SsWTNdeeWVmjBhgk6ePOk8lpGRoQ4dOigyMtK5LyUlRYWFhdq9e7dzTFJSkss1U1JSlJGRUeW/G68mEJaUlCggIMCbSwAAUDuqaQJhTEyMy+5JkyZp8uTJ5zzV4XDowQcf1O9+9ztdeeWVzv133HGHYmNjFR0drZ07d2r8+PHKysrS22+/LUnKzc11SQQkOV/n5uaec0xhYaFOnTqlwMDA8340j5MBu92uadOmaf78+Tp69Ki++uortWnTRk888YRat26tYcOGeXpJAAAuGtnZ2bLZbM7X/v7+5z0nLS1NX375pTZv3uyy/5577nH+uUOHDmrevLl69eqlAwcO6NJLL62+oM/D47sJnn76aS1atEgzZsyQ1Wp17r/yyiu1YMGCag0OAIDqY6mGTbLZbC7b+ZKBUaNGaeXKlfrwww/VsmXLc47t1q2bJGn//v2SpKioKB09etRlTOXrynkG7sbYbLYqVQWkC0gGXn31Vf3973/XoEGD5Ovr69zfqVMn7du3z9PLAQBQO4xq2Dx5O8PQqFGjtHz5cq1fv15xcXHnPSczM1OS1Lx5c0lSYmKidu3apby8POeY9PR02Ww2JSQkOMesW7fO5Trp6elKTEyscqweJwPff/+94uPjz9jvcDhUXl7u6eUAAGiQ0tLS9O9//1tLly5VSEiIcnNzlZubq1OnTkmSDhw4oKlTp2rHjh369ttv9c4772jw4MHq3r27OnbsKElKTk5WQkKC7rrrLn3xxRdas2aNHn/8caWlpTkrEiNHjtQ333yjcePGad++fXr55Zf1xhtvaPTo0VWO1eNkICEhQR999NEZ+99880395je/8fRyAADUjlquDMybN08FBQXq0aOHmjdv7tyWLVsmSbJarVq7dq2Sk5PVrl07PfTQQxo4cKDeffdd5zV8fX21cuVK+fr6KjExUXfeeacGDx7ssi5BXFycVq1apfT0dHXq1EnPP/+8FixYUOXbCqULmEA4ceJEpaam6vvvv5fD4dDbb7+trKwsvfrqq1q5cqWnlwMAoHbU8lMLjfM82SgmJkYbN24873ViY2P13nvvnXNMjx499Pnnn3sU3y95XBno16+f3n33Xa1du1bBwcGaOHGi9u7dq3fffVc33XTTBQcCAADqxgWtM3D99dcrPT29umMBAKDG8Ahj9y540aHt27dr7969kk7PI+jatWu1BQUAQLXjqYVueZwMHD58WH/5y1/08ccfKywsTJJ0/Phx/fa3v9Xrr79+3nsoAQBA/eLxnIHhw4ervLxce/fuVX5+vvLz87V37145HA4NHz68JmIEAMB7lRMIvdkaKI8rAxs3btSWLVvUtm1b5762bdvqpZde0vXXX1+twQEAUF0sxunNm/MbKo+TgZiYmLMuLmS32xUdHV0tQQEAUO2YM+CWx22CZ599Vvfdd5+2b9/u3Ld9+3Y98MADeu6556o1OAAAUPOqVBlo0qSJLJafeyXFxcXq1q2bGjU6fXpFRYUaNWqkoUOHqn///jUSKAAAXqnlRYcuJlVKBl588cUaDgMAgBpGm8CtKiUDqampNR0HAACoIxe86JAklZSUqKyszGWfzWbzKiAAAGoElQG3PJ5AWFxcrFGjRikiIkLBwcFq0qSJywYAQL1Uy08tvJh4nAyMGzdO69ev17x58+Tv768FCxboySefVHR0tF599dWaiBEAANQgj9sE7777rl599VX16NFDQ4YM0fXXX6/4+HjFxsZqyZIlGjRoUE3ECQCAd7ibwC2PKwP5+flq06aNpNPzA/Lz8yVJ1113nTZt2lS90QEAUE0qVyD0ZmuoPE4G2rRpo4MHD0qS2rVrpzfeeEPS6YpB5YOLAADAxcPjZGDIkCH64osvJEmPPPKI5s6dq4CAAI0ePVpjx46t9gABAKgWTCB0y+M5A6NHj3b+OSkpSfv27dOOHTsUHx+vjh07VmtwAACg5nm1zoAkxcbGKjY2tjpiAQCgxljk5VMLqy2S+qdKycDs2bOrfMH777//goMBAAC1r0rJwMyZM6t0MYvFUifJwB97/16NfP1r/X2B2vDQ/pV1HQJQY4pP2LWhcy29GbcWulWlZKDy7gEAAC5aLEfslsd3EwAAgIbF6wmEAABcFKgMuEUyAAAwBW9XEWQFQgAA0GBRGQAAmANtArcuqDLw0Ucf6c4771RiYqK+//57SdK//vUvbd68uVqDAwCg2rAcsVseJwNvvfWWUlJSFBgYqM8//1ylpaWSpIKCAk2bNq3aAwQAADXL42Tgqaee0vz58/WPf/xDfn5+zv2/+93v9Nlnn1VrcAAAVBceYeyex3MGsrKy1L179zP2h4aG6vjx49UREwAA1Y8VCN3yuDIQFRWl/fv3n7F/8+bNatOmTbUEBQBAtWPOgFseJwMjRozQAw88oG3btslisejIkSNasmSJHn74Yd177701ESMAAKhBHrcJHnnkETkcDvXq1UsnT55U9+7d5e/vr4cfflj33XdfTcQIAIDXWHTIPY+TAYvFoscee0xjx47V/v37VVRUpISEBDVu3Lgm4gMAoHqwzoBbF7zokNVqVUJCQnXGAgAA6oDHyUDPnj1lsbifUbl+/XqvAgIAoEZ4e3sglYGfde7c2eV1eXm5MjMz9eWXXyo1NbW64gIAoHrRJnDL42Rg5syZZ90/efJkFRUVeR0QAACoXdX21MI777xTr7zySnVdDgCA6sU6A25V21MLMzIyFBAQUF2XAwCgWnFroXseJwMDBgxweW0YhnJycrR9+3Y98cQT1RYYAACoHR4nA6GhoS6vfXx81LZtW02ZMkXJycnVFhgAAKgdHiUDdrtdQ4YMUYcOHdSkSZOaigkAgOrH3QRueTSB0NfXV8nJyTydEABw0eERxu55fDfBlVdeqW+++aYmYgEAAHXA42Tgqaee0sMPP6yVK1cqJydHhYWFLhsAAPUWtxWeVZXnDEyZMkUPPfSQbr75ZknSrbfe6rIssWEYslgsstvt1R8lAADeYs6AW1VOBp588kmNHDlSH374YU3GAwAAalmVkwHDOJ0S3XDDDTUWDAAANYVFh9zz6NbCcz2tEACAeo02gVseTSC8/PLLFR4efs4NAABI06dP19VXX62QkBBFRESof//+ysrKchlTUlKitLQ0NW3aVI0bN9bAgQN19OhRlzGHDh1S3759FRQUpIiICI0dO1YVFRUuYzZs2KAuXbrI399f8fHxWrRokUexelQZePLJJ89YgRAAgItBbbcJNm7cqLS0NF199dWqqKjQo48+quTkZO3Zs0fBwcGSpNGjR2vVqlX6z3/+o9DQUI0aNUoDBgzQxx9/LOn0Yn99+/ZVVFSUtmzZopycHA0ePFh+fn6aNm2aJOngwYPq27evRo4cqSVLlmjdunUaPny4mjdvrpSUlCp+tsrJAOfh4+Oj3NxcRUREePa3UYMKCwsVGhqqXm3uVyNf/7oOB6gRD65eWdchADWm+IRdf+z8lQoKCmSz2WrkPSp/V1z+0DT5+l/4A/XspSX66vlHlZ2d7RKrv7+//P3P/zvohx9+UEREhDZu3Kju3buroKBAl1xyiZYuXao//vGPkqR9+/apffv2ysjI0LXXXqv3339fv//973XkyBFFRkZKkubPn6/x48frhx9+kNVq1fjx47Vq1Sp9+eWXzve6/fbbdfz4ca1evbpKn63KbQLmCwAAIMXExCg0NNS5TZ8+vUrnFRQUSJKzpb5jxw6Vl5crKSnJOaZdu3Zq1aqVMjIyJJ1+InCHDh2ciYAkpaSkqLCwULt373aO+eU1KsdUXqMqPL6bAACAi1I1TSA8W2XgfBwOhx588EH97ne/05VXXilJys3NldVqVVhYmMvYyMhI5ebmOsf8MhGoPF557FxjCgsLderUKQUGBp43vionAw6Ho6pDAQCod6przoDNZvO4pZGWlqYvv/xSmzdvvvAAapDHyxEDAHBR8mYpYi+qCqNGjdLKlSv14YcfqmXLls79UVFRKisrO+Phf0ePHlVUVJRzzK/vLqh8fb4xNputSlUBiWQAAIAaYRiGRo0apeXLl2v9+vWKi4tzOd61a1f5+flp3bp1zn1ZWVk6dOiQEhMTJUmJiYnatWuX8vLynGPS09Nls9mUkJDgHPPLa1SOqbxGVXh0ayEAABetWl50KC0tTUuXLtV///tfhYSEOHv8oaGhCgwMVGhoqIYNG6YxY8YoPDxcNptN9913nxITE3XttddKkpKTk5WQkKC77rpLM2bMUG5urh5//HGlpaU55yqMHDlSc+bM0bhx4zR06FCtX79eb7zxhlatWlXlWEkGAACmUNvrDMybN0+S1KNHD5f9Cxcu1N133y1Jmjlzpnx8fDRw4ECVlpYqJSVFL7/8snOsr6+vVq5cqXvvvVeJiYkKDg5WamqqpkyZ4hwTFxenVatWafTo0Zo1a5ZatmypBQsWVHmNAYlkAACAGlGVu/ACAgI0d+5czZ071+2Y2NhYvffee+e8To8ePfT55597HGMlkgEAgDnwbAK3SAYAAKbAUwvd424CAABMjsoAAMAcaBO4RTIAADAHkgG3aBMAAGByVAYAAKZg+Wnz5vyGimQAAGAOtAncIhkAAJgCtxa6x5wBAABMjsoAAMAcaBO4RTIAADCPBvwL3Ru0CQAAMDkqAwAAU2ACoXskAwAAc2DOgFu0CQAAMDkqAwAAU6BN4B7JAADAHGgTuEWbAAAAk6MyAAAwBdoE7pEMAADMgTaBWyQDAABzIBlwizkDAACYHJUBAIApMGfAPZIBAIA50CZwizYBAAAmR2UAAGAKFsOQxbjwr/fenFvfkQwAAMyBNoFbtAkAADA5KgMAAFPgbgL3SAYAAOZAm8At2gQAAJgclQEAgCnQJnCPZAAAYA60CdwiGQAAmAKVAfeYMwAAgMlRGQAAmANtArdIBgAAptGQS/3eoE0AAIDJURkAAJiDYZzevDm/gSIZAACYAncTuEebAAAAk6MyAAAwB+4mcItkAABgChbH6c2b8xsq2gQAAJgclQGTubLTjxp4+9eKb1ugps1KNPXRa5SxOdp5/Lfdj+jmfgcVf/lx2ULLNWpoD32zP8zlGn5Wu0akfanuNx6Wn59Dn30aobkvdNLxYwGSpBBbmcY+sV1xlxbKZivT8eP+2ro5Sov+nqBTJ/1q8+PChDKXNNEXS8NVePj0z1rTy0qVeN8PiruhyGWcYUhvD2ulbzeF6NZ5h3TZTSckSaeO+eq9MS30Q1aASo75KrCpXfFJhbruoTz5h5z+aliU10gbp0fq6K5AHfvOqi6p+er5eG7tflB4jjaBW1QGTCYgwK6DB0L18syObo5XaPfOplo4/wq317hn1C5d89tcTZ90jcbff73Cm5bo8ac+cR43HNLWzc01ZUI3jRiUpBemdVHnrj/ovoe+qPbPA/xaSFS5rh97VHf+9xsNWvGNWiUWa8XIGP34lb/LuM8WNpXFcub5Fh9DlyadUP+/HdLQtfvVe8b3+m5LY62d2Nw5xl5mUWC4Xd3SftAl7Upq+iOhmlTeTeDN1lDVaTKwadMm3XLLLYqOjpbFYtGKFSvqMhxT2L4tUq8uSFDGR9FnPb7+g1Z6bXE7fb7jkrMeDwouV3Lf7/SPOVfqi88u0f6vwjTzmS5K6JCvtgn5kqSiIqve+2+cvs5qoryjQfris0u0akWcruj0vxr7XEClS3sVqU2PIjVpXabwuDJd91CerEEO5WQGOsfk7QnQ9n82VcozR844PyDUoc6DjimqQ4lsLcoV+9tidR6Ur8OfBjvHhLYs141P5OqKPxQ4qwW4CFSuM+DN1kDVaTJQXFysTp06ae7cuXUZBjxwWdvj8vMzlPmLZOHwoRDl5Qaq/RX5Zz0nvOkp/bb7Ee3KbFpbYQKSJIdd2rfSpvKTPor+zSlJUvkpi1aNbqFek3MUfEnFea9RdLSRvl5jU8w1xTUdLlBn6nTOQJ8+fdSnT58qjy8tLVVpaanzdWFhYU2EhXNoEl6i8jIfFRdZXfYfO+avJk1LXfaNm/iprr0uVwEBdm39OEqzZvymNkOFif2Q5a/X/hSnilIfWYMcunVetppedvrnc8PTUYruckrxP80RcGflgy11YG2IKkp81ObGQiVPP7OKgIsLiw65d1HNGZg+fbpCQ0OdW0xMTF2HhHP4x5wOun94Dz05oZuaRxdrRNqXdR0STCI8rkx3vfONBr31jTrdka/VY1vof1/7a//aEB3KCK7SZL+ej+Xqzv8eUL/5h1RwyKoNT0fVQuSoUUY1bA3URZUMTJgwQQUFBc4tOzu7rkMynWP5AfKzOhTcuMxlf5MmpTr2P/8zxh4+FKJtHzfXS8911u//cFBNmjLZCjXP12qoSesyRV5ZouvH5umS9iX6bHG4srcG6/ghq+Z0aacX2ibohbYJkqR302K07I7WLtcIvqRCTS8tU3zSCSU9laMvloarKI8bsFB155sXd/fdd8tisbhsvXv3dhmTn5+vQYMGyWazKSwsTMOGDVNRkeudMTt37tT111+vgIAAxcTEaMaMGR7HelH9ZPv7+8vf3//8A1Fjvs4KU3m5RZ27/qCPN7aQJLWIOaGIqFPauzvc7Xk+PqdTaj8/e63ECfyS4Th9B8BvH/hBHW475nJs8c3x6vFYri698Rxtg5/mCNrLznL7AS4atd0mqJwXN3ToUA0YMOCsY3r37q2FCxc6X//6d9ygQYOUk5Oj9PR0lZeXa8iQIbrnnnu0dOlSSafb5cnJyUpKStL8+fO1a9cuDR06VGFhYbrnnnuqHOtFlQzAewGBFYpu8XNWGdn8pNrEH9eJQqt+yAtS45AyRUSeVHiz09/gW7Y6PfZYfoCO5QfoZLGfPlgVqxFpX+pEoVUni/008sGd2vNluLL2nE4Grro2V02alOqrfU106pSvYluf0LC/7tbuneHKyw0+MyigGn30bITibihSSHS5yop9tO+dUGVvC9bAhd8p+JKKs04aDIkuV2hMuSTpmw2NdfLHRorqeEp+QQ7972t/bXwmUtFdixXastx5Tt6e0+tqlJ/00cl8X+XtCZCvn+Gcm4B6qJafWliVeXH+/v6Kijp7C2rv3r1avXq1Pv30U1111VWSpJdeekk333yznnvuOUVHR2vJkiUqKyvTK6+8IqvVqiuuuEKZmZl64YUXSAbg3mVtj+n/Zn/sfH3Pfaf7+Onvx2jm9K669nc5GvPo587jj0zeLklasrCtlixsL0n6+5wOMgyLHpv6ifz8HNrxaYRefqGT85yyUl+l3PKdRozaJT+rQz/mBerjTdH6z5LLauMjwuRO/q+R3h/bQsV5jWQNceiSdiUauPA7tb6uancDNPJ3aOeyJtrwdJTsZRaFNC9XfHKhrhn5o8u4f916qfPPR78M1L53wmRrUaYRG7+u1s+D+ufXk9e9qVpv2LBBERERatKkiW688UY99dRTatr09J1XGRkZCgsLcyYCkpSUlCQfHx9t27ZNf/jDH5SRkaHu3bvLav15UndKSor+7//+T8eOHVOTJk2qFEedJgNFRUXav3+/8/XBgweVmZmp8PBwtWrVqg4ja7h2ZV6im7v3d3t87epYrV0de85rlJf56uWZnfTyzE5nPb7z80v08F/Pvk4BUNPOtnbAuTy0f7fL61aJJ3XHfw56fB7qv+pqE/x68vqkSZM0efJkj6/Xu3dvDRgwQHFxcTpw4IAeffRR9enTRxkZGfL19VVubq4iIiJczmnUqJHCw8OVm3t6Emxubq7i4uJcxkRGRjqPXRTJwPbt29WzZ0/n6zFjxkiSUlNTtWjRojqKCgDQIFXTcsTZ2dmy2WzO3RdaFbj99tudf+7QoYM6duyoSy+9VBs2bFCvXr28CNRzdZoM9OjRQ0YDXtEJANDw2Gw2l2SgurRp00bNmjXT/v371atXL0VFRSkvL89lTEVFhfLz853zDKKionT06FGXMZWv3c1FOJuL6tZCAAAuVH1/NsHhw4f1v//9T82bn34ORmJioo4fP64dO3Y4x6xfv14Oh0PdunVzjtm0aZPKy3+e3Jqenq62bdtWuUUgkQwAAMzCYXi/eaCoqEiZmZnKzMyU9PO8uEOHDqmoqEhjx47V1q1b9e2332rdunXq16+f4uPjlZKSIklq3769evfurREjRuiTTz7Rxx9/rFGjRun2229XdPTp58vccccdslqtGjZsmHbv3q1ly5Zp1qxZzrZ7VXE3AQDAHGr5Ecbnmhc3b9487dy5U4sXL9bx48cVHR2t5ORkTZ061WUOwpIlSzRq1Cj16tVLPj4+GjhwoGbPnu08Hhoaqg8++EBpaWnq2rWrmjVrpokTJ3p0W6FEMgAAQI0437y4NWvWnPca4eHhzgWG3OnYsaM++ugjj+P7JZIBAIApWOTlrYXVFkn9QzIAADCHWl6B8GLCBEIAAEyOygAAwBRq+0FFFxOSAQCAOdTy3QQXE9oEAACYHJUBAIApWAxDFi8mAXpzbn1HMgAAMAfHT5s35zdQtAkAADA5KgMAAFOgTeAeyQAAwBy4m8AtkgEAgDmwAqFbzBkAAMDkqAwAAEyBFQjdIxkAAJgDbQK3aBMAAGByVAYAAKZgcZzevDm/oSIZAACYA20Ct2gTAABgclQGAADmwKJDbpEMAABMgeWI3aNNAACAyVEZAACYAxMI3SIZAACYgyHJm9sDG24uQDIAADAH5gy4x5wBAABMjsoAAMAcDHk5Z6DaIql3SAYAAObABEK3aBMAAGByVAYAAObgkGTx8vwGimQAAGAK3E3gHm0CAABMjsoAAMAcmEDoFskAAMAcSAbcok0AAIDJURkAAJgDlQG3SAYAAObArYVukQwAAEyBWwvdY84AAAAmR2UAAGAOzBlwi2QAAGAODkOyePEL3dFwkwHaBAAAmByVAQCAOdAmcItkAABgEl4mA2q4yQBtAgAATI7KAADAHGgTuEUyAAAwB4chr0r93E0AAAAaKioDAABzMBynN2/Ob6BIBgAA5sCcAbdIBgAA5sCcAbeYMwAAgMmRDAAAzKGyTeDN5oFNmzbplltuUXR0tCwWi1asWPGrcAxNnDhRzZs3V2BgoJKSkvT111+7jMnPz9egQYNks9kUFhamYcOGqaioyGXMzp07df311ysgIEAxMTGaMWOGx381JAMAAHMw5GUy4NnbFRcXq1OnTpo7d+5Zj8+YMUOzZ8/W/PnztW3bNgUHByslJUUlJSXOMYMGDdLu3buVnp6ulStXatOmTbrnnnucxwsLC5WcnKzY2Fjt2LFDzz77rCZPnqy///3vHsXKnAEAAGpAnz591KdPn7MeMwxDL774oh5//HH169dPkvTqq68qMjJSK1as0O233669e/dq9erV+vTTT3XVVVdJkl566SXdfPPNeu655xQdHa0lS5aorKxMr7zyiqxWq6644gplZmbqhRdecEkazofKAADAHKqpTVBYWOiylZaWehzKwYMHlZubq6SkJOe+0NBQdevWTRkZGZKkjIwMhYWFORMBSUpKSpKPj4+2bdvmHNO9e3dZrVbnmJSUFGVlZenYsWNVjodkAABgDg6H95ukmJgYhYaGOrfp06d7HEpubq4kKTIy0mV/ZGSk81hubq4iIiJcjjdq1Ejh4eEuY852jV++R1XQJgAAwAPZ2dmy2WzO1/7+/nUYTfWgMgAAMIdqahPYbDaX7UKSgaioKEnS0aNHXfYfPXrUeSwqKkp5eXkuxysqKpSfn+8y5mzX+OV7VAXJAADAHGr51sJziYuLU1RUlNatW+fcV1hYqG3btikxMVGSlJiYqOPHj2vHjh3OMevXr5fD4VC3bt2cYzZt2qTy8nLnmPT0dLVt21ZNmjSpcjwkAwAA1ICioiJlZmYqMzNT0ulJg5mZmTp06JAsFosefPBBPfXUU3rnnXe0a9cuDR48WNHR0erfv78kqX379urdu7dGjBihTz75RB9//LFGjRql22+/XdHR0ZKkO+64Q1arVcOGDdPu3bu1bNkyzZo1S2PGjPEoVuYMAADMoZaXI96+fbt69uzpfF35Czo1NVWLFi3SuHHjVFxcrHvuuUfHjx/Xddddp9WrVysgIMB5zpIlSzRq1Cj16tVLPj4+GjhwoGbPnu08Hhoaqg8++EBpaWnq2rWrmjVrpokTJ3p0W6EkWQzj4n3yQmFhoUJDQ9Wrzf1q5HvxT+AAzubB1SvrOgSgxhSfsOuPnb9SQUGBy6S86uT8XdEkVY18rOc/wY0KR5nWHVtco7HWFSoDAABzMAzvHjZ08X53Pi/mDAAAYHJUBgAA5mB4OWegAVcGSAYAAObgcEgWx4Wfb3hxbj1HmwAAAJOjMgAAMAfaBG6RDAAATMFwOGR40SYwaBMAAICGisoAAMAcaBO4RTIAADAHhyFZSAbOhjYBAAAmR2UAAGAOhiHJm3UGGm5lgGQAAGAKhsOQ4UWb4CJ+rt95kQwAAMzBcMi7ygC3FgIAgAaKygAAwBRoE7hHMgAAMAfaBG5d1MlAZZZW4Sit40iAmlN8wl7XIQA15mTR6Z/v2vjWXaFyr9YcqlB59QVTz1iMi7jucfjwYcXExNR1GAAAL2VnZ6tly5Y1cu2SkhLFxcUpNzfX62tFRUXp4MGDCggIqIbI6o+LOhlwOBw6cuSIQkJCZLFY6jocUygsLFRMTIyys7Nls9nqOhygWvHzXfsMw9CJEycUHR0tH5+am9NeUlKisrIyr69jtVobXCIgXeRtAh8fnxrLJHFuNpuNfyzRYPHzXbtCQ0Nr/D0CAgIa5C/x6sKthQAAmBzJAAAAJkcyAI/4+/tr0qRJ8vf3r+tQgGrHzzfM6qKeQAgAALxHZQAAAJMjGQAAwORIBgAAMDmSAQAATI5kAFU2d+5ctW7dWgEBAerWrZs++eSTug4JqBabNm3SLbfcoujoaFksFq1YsaKuQwJqFckAqmTZsmUaM2aMJk2apM8++0ydOnVSSkqK8vLy6jo0wGvFxcXq1KmT5s6dW9ehAHWCWwtRJd26ddPVV1+tOXPmSDr9XIiYmBjdd999euSRR+o4OqD6WCwWLV++XP3796/rUIBaQ2UA51VWVqYdO3YoKSnJuc/Hx0dJSUnKyMiow8gAANWBZADn9eOPP8putysyMtJlf2RkZLU8EhQAULdIBgAAMDmSAZxXs2bN5Ovrq6NHj7rsP3r0qKKiouooKgBAdSEZwHlZrVZ17dpV69atc+5zOBxat26dEhMT6zAyAEB1aFTXAeDiMGbMGKWmpuqqq67SNddcoxdffFHFxcUaMmRIXYcGeK2oqEj79+93vj548KAyMzMVHh6uVq1a1WFkQO3g1kJU2Zw5c/Tss88qNzdXnTt31uzZs9WtW7e6Dgvw2oYNG9SzZ88z9qempmrRokW1HxBQy0gGAAAwOeYMAABgciQDAACYHMkAAAAmRzIAAIDJkQwAAGByJAMAAJgcyQAAACZHMgAAgMmRDABeuvvuu9W/f3/n6x49eujBBx+s9Tg2bNggi8Wi48ePux1jsVi0YsWKKl9z8uTJ6ty5s1dxffvtt7JYLMrMzPTqOgBqDskAGqS7775bFotFFotFVqtV8fHxmjJliioqKmr8vd9++21NnTq1SmOr8gscAGoaDypCg9W7d28tXLhQpaWleu+995SWliY/Pz9NmDDhjLFlZWWyWq3V8r7h4eHVch0AqC1UBtBg+fv7KyoqSrGxsbr33nuVlJSkd955R9LPpf2nn35a0dHRatu2rSQpOztbt912m8LCwhQeHq5+/frp22+/dV7TbrdrzJgxCgsLU9OmTTVu3Dj9+vEev24TlJaWavz48YqJiZG/v7/i4+P1z3/+U99++63z4ThNmjSRxWLR3XffLen0I6KnT5+uuLg4BQYGqlOnTnrzzTdd3ue9997T5ZdfrsDAQPXs2dMlzqoaP368Lr/8cgUFBalNmzZ64oknVF5efsa4v/3tb4qJiVFQUJBuu+02FRQUuBxfsGCB2rdvr4CAALVr104vv/yyx7EAqDskAzCNwMBAlZWVOV+vW7dOWVlZSk9P18qVK1VeXq6UlBSFhIToo48+0scff6zGjRurd+/ezvOef/55LVq0SK+88oo2b96s/Px8LV++/JzvO3jwYL322muaPXu29u7dq7/97W9q3LixYmJi9NZbb0mSsrKylJOTo1mzZkmSpk+frldffVXz58/X7t27NXr0aN15553auHGjpNNJy4ABA3TLLbcoMzNTw4cP1yOPPOLx30lISIgWLVqkPXv2aNasWfrHP/6hmTNnuozZv3+/3njjDb377rtavXq1Pv/8c/31r391Hl+yZIkmTpyop59+Wnv37tW0adP0xBNPaPHixR7HA6COGEADlJqaavTr188wDMNwOBxGenq64e/vbzz88MPO45GRkUZpaanznH/9619G27ZtDYfD4dxXWlpqBAYGGmvWrDEMwzCaN29uzJgxw3m8vLzcaNmypfO9DMMwbrjhBuOBBx4wDMMwsrKyDElGenr6WeP88MMPDUnGsWPHnPtKSkqMoKAgY8uWLS5jhw0bZvzlL38xDMMwJkyYYCQkJLgcHz9+/BnX+jVJxvLly90ef/bZZ42uXbs6X0+aNMnw9fU1Dh8+7Nz3/vvvGz4+PkZOTo5hGIZx6aWXGkuXLnW5ztSpU43ExETDMAzj4MGDhiTj888/d/u+AOoWcwbQYK1cuVKNGzdWeXm5HA6H7rjjDk2ePNl5vEOHDi7zBL744gvt379fISEhLtcpKSnRgQMHVFBQoJycHHXr1s15rFGjRrrqqqvOaBVUyszMlK+vr2644YYqx71//36dPHlSN910k8v+srIy/eY3v5Ek7d271yUOSUpMTKzye1RatmyZZs+erQMHDqioqEgVFRWy2WwuY1q1aqUWLVq4vI/D4VBWVpZCQkJ04MABDRs2TCNGjHCOqaioUGhoqMfxAKgbJANosHr27Kl58+bJarUqOjpajRq5/rgHBwe7vC4qKlLXrl21ZMmSM651ySWXXFAMgYGBHp9TVFQkSVq1apXLL2Hp9DyI6pKRkaFBgwbpySefVEpKikJDQ/X666/r+eef9zjWf/zjH2ckJ76+vtUWK4CaRTKABis4OFjx8fFVHt+lSxctW7ZMERERZ3w7rtS8eXNt27ZN3bt3l3T6G/COHTvUpUuXs47v0KGDHA6HNm7cqKSkpDOOV1Ym7Ha7c19CQoL8/f116NAhtxWF9u3bOydDVtq6dev5P+QvbNmyRbGxsXrsscec+7777rszxh06dEhHjhxRdHS08318fHzUtm1bRUZGKjo6Wt98840GDRrk0fsDqD+YQAj8ZNCgQWrWrJn69eunjz76SAcPHtSGDRt0//336/Dhw5KkBx54QM8884xWrFihffv26a9//es51who3bq1UlNTNXToUK1YscJ5zTfeeEOSFBsbK4vFopUrV+qHH35QUVGRQkJC9PDDD2v06NFavHixDhw4oM8++0wvvfSSc1LeyJEj9fXXX2vs2LHKysrS0qVLtWjRIo8+72WXXaZDhw7p9ddf14EDBzR79uyzToYMCAhQamqqvvjiC3300Ue6//77ddtttykqKkqS9OSTT2r69OmaPXu2vvrqK+3atUsLFy7UCy+84FE8AOoOyQDwk6CgIG3atEmtWrXSgAED1L59ew0bNkwlJSXOSsFDDz2ku+66S6mpqUpMTFRISIj+8Ic/nPO68+bN0x//+Ef99a9/Vbt27TRixAgVFxdLklq0aKEnn3xSjzzyiCIjIzVq1ChJ0tSpU/XEE09o+vTpat++vXr37q1Vq1YpLi5O0uk+/ltvvaUVK1aoU6dOmj9/vqZNm+bR57311ls1evRojRo1Sp07d9aWLVv0xBNPnDEuPj5eAwYM0M0336zk5GR17NjR5dbB4cOHa8GCBVq4cKE6dOigG264QYsWLXLGCqD+sxjuZj4BAABToDIAAIDJkQwAAGByJAMAAJgcyQAAACZHMgAAgMmRDAAAYHIkAwAAmBzJAAAAJkcyAACAyZEMAABgciQDAACY3P8HlivsCz4sqtcAAAAASUVORK5CYII=\n"},"metadata":{}}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MC.predict(crdcd_fd_i_Xst)\n","print(crdcd_fdclfrt(crdcd_fd_o_Yst, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Yst, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for test:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"3PijfkLW5Rrd","executionInfo":{"status":"ok","timestamp":1694001227787,"user_tz":-330,"elapsed":23,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"ed0e6ed5-47cc-4666-e8ed-ff3289d1f1f8"},"execution_count":27,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.77      0.83      0.80      4529\n","           1       0.82      0.75      0.78      4556\n","\n","    accuracy                           0.79      9085\n","   macro avg       0.79      0.79      0.79      9085\n","weighted avg       0.79      0.79      0.79      9085\n","\n","Duration for test: 0.042725324630737305\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["#### SVM"],"metadata":{"id":"94zS3uRy5bLo"}},{"cell_type":"code","source":["from sklearn.svm import SVC as crdcd_fdsvv\n","\n","crd_par = { 'kernel':['linear','poly','sigmoid','rbf'],\n","              'gamma': ['scale','auto'],\n","               'tol': [1e-3,1e-4,1e-5,1e-6,1e-7],\n","            'C':[4.0,5.0,6.0,7.0,8.0]}\n","\n","\n","crd_par_bs = crdcd_fdsvv(random_state=33)\n","crd_par_bs = crdcd_fdgshc(crd_par_bs, crd_par, cv=2, verbose=1)\n","crd_par_bs.fit(crdcd_fd_i_Xnt.sample(20, random_state=33), crdcd_fd_o_Ynt.sample(20, random_state=33))\n","\n","print( crd_par_bs.best_params_)\n","print(\"credit card-score: \", crd_par_bs.best_score_)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"oGtRjI6D5fc5","executionInfo":{"status":"ok","timestamp":1694001236527,"user_tz":-330,"elapsed":5140,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"2dc49295-4b8d-4740-a40a-82437beb9055"},"execution_count":28,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 2 folds for each of 200 candidates, totalling 400 fits\n","{'C': 4.0, 'gamma': 'scale', 'kernel': 'poly', 'tol': 0.001}\n","credit card-score:  0.8\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_MD= crdcd_fdsvv(C= 4.0, gamma= 'scale', kernel='poly', tol=0.001 )\n","crdcd_fd_MD.fit(crdcd_fd_i_Xnt.sample(100, random_state=33), crdcd_fd_o_Ynt.sample(100, random_state=33))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","print(\"Duration for Training:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"7O9JfvUz6Zci","executionInfo":{"status":"ok","timestamp":1694001272922,"user_tz":-330,"elapsed":641,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"d0ad73c0-0c31-4733-d4dd-c27c4c81c9f9"},"execution_count":29,"outputs":[{"output_type":"stream","name":"stdout","text":["Duration for Training: 0.037757158279418945\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MD.predict(crdcd_fd_i_Xdv)\n","print(crdcd_fdclfrt(crdcd_fd_o_Ydv, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Ydv, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for validation:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":628},"id":"KT-V6PnlrZvJ","executionInfo":{"status":"ok","timestamp":1694001277352,"user_tz":-330,"elapsed":1422,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"4335e921-46b4-40da-e5aa-b30ea6154328"},"execution_count":30,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.67      0.24      0.35      4551\n","           1       0.54      0.88      0.67      4534\n","\n","    accuracy                           0.56      9085\n","   macro avg       0.60      0.56      0.51      9085\n","weighted avg       0.60      0.56      0.51      9085\n","\n","Duration for validation: 0.3655850887298584\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_MD.predict(crdcd_fd_i_Xst)\n","print(crdcd_fdclfrt(crdcd_fd_o_Yst, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Yst, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for test:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":629},"id":"FB0QN5ty6dYx","executionInfo":{"status":"ok","timestamp":1694001281015,"user_tz":-330,"elapsed":652,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"cb3f0c99-a77a-455a-82fe-13c58c3509bf"},"execution_count":31,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.65      0.23      0.34      4529\n","           1       0.53      0.88      0.66      4556\n","\n","    accuracy                           0.55      9085\n","   macro avg       0.59      0.55      0.50      9085\n","weighted avg       0.59      0.55      0.50      9085\n","\n","Duration for test: 0.05686593055725098\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["### DL algorithm-credit card fraud detection"],"metadata":{"id":"XfVJnod06pZe"}},{"cell_type":"markdown","source":["#### MLP"],"metadata":{"id":"rwPwUP096z_b"}},{"cell_type":"code","source":["from sklearn.neural_network import MLPClassifier as crdcd_fdmmllp\n","\n","crd_par = {'activation':['identity','tanh','relu','logistic'],\n","              'solver': ['adam','lbfgs'],\n","               'learning_rate': ['constant','invscaling','adaptive'],\n","            'hidden_layer_sizes':[(100,), (150,), (200,),(300,)],\n","           'alpha':[0.1, 0.001, 0.01]}\n","\n","\n","crd_par_bs = crdcd_fdmmllp(random_state=33)\n","crd_par_bs = crdcd_fdgshc(crd_par_bs, crd_par, cv=2, verbose=1)\n","crd_par_bs.fit(crdcd_fd_i_Xnt.sample(10, random_state=33), crdcd_fd_o_Ynt.sample(10, random_state=33))\n","\n","print( crd_par_bs.best_params_)\n","print(\"credit card-score: \", crd_par_bs.best_score_)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"sV5YAOdS619T","executionInfo":{"status":"ok","timestamp":1694001346256,"user_tz":-330,"elapsed":61559,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"47c6d48b-37f5-4ee0-f5e9-2ea8845850e4"},"execution_count":32,"outputs":[{"output_type":"stream","name":"stdout","text":["Fitting 2 folds for each of 288 candidates, totalling 576 fits\n","{'activation': 'identity', 'alpha': 0.1, 'hidden_layer_sizes': (100,), 'learning_rate': 'constant', 'solver': 'adam'}\n","credit card-score:  0.6000000000000001\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_ME= crdcd_fdmmllp(activation= 'identity', learning_rate= 'constant',solver='adam',hidden_layer_sizes=(100,),alpha=0.1 )\n","crdcd_fd_ME.fit(crdcd_fd_i_Xnt, crdcd_fd_o_Ynt)\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","print(\"Duration for Training:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/"},"id":"bxW6eWuO7wO5","executionInfo":{"status":"ok","timestamp":1694001397034,"user_tz":-330,"elapsed":10128,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"c0c53c92-1a27-4631-af9c-e7ea0acf3dae"},"execution_count":33,"outputs":[{"output_type":"stream","name":"stdout","text":["Duration for Training: 9.691131591796875\n"]}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_ME.predict(crdcd_fd_i_Xdv)\n","print(crdcd_fdclfrt(crdcd_fd_o_Ydv, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Ydv, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for validation:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"JjijY51SrqDA","executionInfo":{"status":"ok","timestamp":1694001402252,"user_tz":-330,"elapsed":1347,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"803ba403-7e5c-4721-b5ee-7bf884694d64"},"execution_count":34,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.56      0.26      0.35      4551\n","           1       0.52      0.79      0.63      4534\n","\n","    accuracy                           0.53      9085\n","   macro avg       0.54      0.53      0.49      9085\n","weighted avg       0.54      0.53      0.49      9085\n","\n","Duration for validation: 0.09843897819519043\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"code","source":["crdcd_pt1 = crdcd_fdttee.time()\n","\n","crdcd_fd_Pp= crdcd_fd_ME.predict(crdcd_fd_i_Xst)\n","print(crdcd_fdclfrt(crdcd_fd_o_Yst, crdcd_fd_Pp))\n","\n","crdcd_pt2 = crdcd_fdttee.time()\n","crdcd_rdo = crdcd_fdcfssm(crdcd_fd_o_Yst, crdcd_fd_Pp)\n","crdcd_rex = crdcd_fdcfxdp(confusion_matrix = crdcd_rdo, display_labels = [0, 1])\n","crdcd_rex.plot()\n","print(\"Duration for test:\", crdcd_pt2-crdcd_pt1)"],"metadata":{"colab":{"base_uri":"https://localhost:8080/","height":623},"id":"866s0vwu7wQa","executionInfo":{"status":"ok","timestamp":1694001416141,"user_tz":-330,"elapsed":632,"user":{"displayName":"Jadaprojects05","userId":"10289941972047474523"}},"outputId":"ce410410-a948-4230-e853-d32648ce58b3"},"execution_count":35,"outputs":[{"output_type":"stream","name":"stdout","text":["              precision    recall  f1-score   support\n","\n","           0       0.57      0.27      0.36      4529\n","           1       0.52      0.80      0.63      4556\n","\n","    accuracy                           0.54      9085\n","   macro avg       0.55      0.54      0.50      9085\n","weighted avg       0.55      0.54      0.50      9085\n","\n","Duration for test: 0.06433582305908203\n"]},{"output_type":"display_data","data":{"text/plain":["<Figure size 640x480 with 2 Axes>"],"image/png":"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\n"},"metadata":{}}]},{"cell_type":"markdown","source":["*** XGBoost has highest accuracy (79%)"],"metadata":{"id":"7Dogn1soRrUn"}}]}