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scores.txt
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--------------- Logistic Regression ---------------------------------
| ACCURACY | RECALL | F1-SCORE | TIME | HYPERPARAMETERS
15 features | 91.986002 % | 92.300962 % | 0.92035244 | 63.490860s | learning_rate: 0.1, kfolds: 30
30 features | 93.51706 % | 93.193351 % | 0.93520632 | 2.532430s | learning_rate: 0.1, kfolds: 2
Standardized | 94.540682 % | 94.470691 % | 0.94727608 | 67.691327s | learning_rate: 0.05, kfolds: 30
Non-Standardized | 50.787402 % | 3.0621172 % | 0.05937235 | 2.624470s | learning_rate: 0.01, kfolds: 2
PCA 90% | 93.578303 % | 93.368329 % | 0.93753843 | 20.286592s | learning_rate: 0.05, kfolds: 10
PCA 95% | 94.584427 % | 94.488189 % | 0.94736842 | 114.35413s | learning_rate: 0.05, kfolds: 30
-------------- SVM Linear Kernel ------------------------------------
| ACCURACY | RECALL | F1-SCORE | TIME | HYPERPARAMETERS
15 features | 92.020997 % | 91.801078 % | 0.92040832 | 17.616707s | C: 30.724895656154956, kfolds: 3
30 features | 93.683290 % | 93.590643 % | 0.93688852 | 2.741896s | C: 0.5889149368165159, kfolds: 3
Standardized | 94.715661 % | 94.856184 % | 0.94705247 | 4.142055s | C: 0.4993382731012802, kfolds: 3
Non-Standardized | -- | -- | -- | -- |
PCA 90% | 94.365704 % | 94.291468 % | 0.94134435 | 145.8668s | C: 94.62290271748324, kfolds: 3
PCA 95% | 94.733158 % | 94.863173 % | 0.94725333 | 41.12212s | C: 10.051141542215317, kfolds: 3
-------------- SVM RBF Kernel ---------------------------------------
| ACCURACY | RECALL | F1-SCORE | TIME | HYPERPARAMETERS
15 features | 94.435696 % | 93.942366 % | 0.94465575 | 3.914438s | C: 5.8413889806557835, gamma: 0.084, kfolds: 3
30 features | 93.070866 % | 89.874014 % | 0.93337318 | 10.626565s | C: 0.42298926907697143, gamma: 0.22, kfolds: 3
Standardized | 94.470691 % | 92.168628 % | 0.94617025 | 23.931889s | C: 34.65254709150802, gamma: 0.117, kfolds: 3
Non-Standardized | 64.251969 % | 100.0 % | 0.44352516 | 92.202746s | C: 81.3332215424488, gamma: 0.187, kfolds: 3
PCA 90% | 87.296588 % | 93.719518 % | 0.86441953 | 23.290484s | C: 1.084824472475591, gamma: 0.51, kfolds: 3
PCA 95% | 95.249344 % | 93.787622 % | 0.95328299 | 24.402981s | C: 5.8413889806557835, gamma: 0.084, kfolds: 3
------------- SVM SIGMOID Kernel ------------------------------------
| ACCURACY | RECALL | F1-SCORE | TIME | HYPERPARAMETERS
15 features | 49.615048 % | 16.474190 % | 0.22050471 | 18.478203s | C: 1.9060600303122746e-05, gamma: 5.918, kfolds: 3
30 features | 87.007874 % | 85.593447 % | 0.87263640 | 16.357913s | C: 0.0005859430227064494, gamma: 3.280, kfolds: 3
Standardized | 86.509186 % | 86.729166 % | 0.86473217 | 25.259425s | C: 0.0006276071200232557, gamma: 4.597, kfolds: 3
Non-Standardized | 49.623797 % | 66.473923 % | 0.44260339 | 19.779292s | C: 0.003723225980144836, gamma: 1.92, kfolds: 3
PCA 90% | 86.299213 % | 85.690900 % | 0.87136349 | 16.455897s | C: 0.0006148182705842685, gamma: 7.723, kfolds: 3
PCA 95% | 86.605424 % | 86.866793 % | 0.86559872 | 16.455897s | C: 0.0008966501674699601, gamma: 7.842, kfolds: 3
------------- SVM POLYNOMIAL (1st degree) Kernel ---------------------
| ACCURACY | RECALL | F1-SCORE | TIME | HYPERPARAMETERS
15 features | 91.985995 % | 91.752603 % | 0.92007804 | 3.750243s | C: 0.01880709564735607, coef0: 4.85, degree: 1, gamma: 8.626, kfolds: 4
30 features | 93.683290 % | 93.620898 % | 0.93686407 | 2.729270s | C: 0.26904276894097207, coef0: 3.18, degree: 1, gamma: 1.819, kfolds: 3
Standardized | 94.689414 % | 94.949274 % | 0.94672321 | 4.113262s | C: 0.15216727902498664, coef0: 0.04, degree: 1, gamma: 2.39, kfolds: 3
Non-Standardized | -- | -- | -- | -- |
PCA 90% | 94.391951 % | 94.286283 % | 0.94087917 | 264.39009s | C: 64.42200217449135, coef0: 5.88, degree: 1, gamma: 2.694, kfolds: 3
PCA 95% | 94.741907 % | 94.849447 % | 0.94735660 | 636.43365s | C: 35.99073262329253, coef0: 4.0, degree: 1, gamma: 6.726, kfolds: 3
----------- SVM POLYNOMIAL (2st degree) Kernel -----------------------
| ACCURACY | RECALL | F1-SCORE | TIME | HYPERPARAMETERS
15 features | 93.674541 % | 93.277081 % | 0.93700293 | 169.30916s | C: 0.025084233844991033, coef0: 6.06, degree: 2, gamma: 8.401, kfolds: 10
30 features | 95.336833 % | 95.562494 % | 0.95322956 | 26.807884s | C: 0.6879166774048247, coef0: 5.26, degree: 2, gamma: 0.262, kfolds: 10
Standardized | 95.616798 % | 95.964432 % | 0.95601211 | 22.299558s | C: 0.000277029357932836, coef0: 4.63, degree: 2, gamma: 5.409, kfolds: 10
Non-Standardized | -- | -- | -- | -- |
PCA 90% | 95.310586 % | 95.748882 % | 0.95369459 | 16.276315s | C: 0.0001725847091854454, coef0: 5.44, degree: 2, gamma: 7.47, kfolds: 10
PCA 95% | 95.931759 % | 96.271256 % | 0.95919775 | 35.3752s | C: 0.00020832342808947742, coef0: 7.88, degree: 2, gamma: 4.22, kfolds: 10
----------- SVM POLYNOMIAL (3st degree) Kernel -----------------------
| ACCURACY | RECALL | F1-SCORE | TIME | HYPERPARAMETERS
15 features | 93.394576 % | 92.986451 % | 0.93426585 | 241.42204s | C: 0.011271048406873603, coef0: 4.93, degree: 3, gamma: 2.515, kfolds: 10
30 features | 95.188101 % | 95.427957 % | 0.95174561 | 14.854173s | C: 0.008761422316284174, coef0: 6.74, degree: 3, gamma: 0.434, kfolds: 10
Standardized | 95.345582 % | 95.471982 % | 0.95337684 | 22.351425s | C: 5.340563084763183, coef0: 6.79, degree: 3, gamma: 5.316, kfolds: 10
Non-Standardized | -- | -- | -- | -- |
PCA 90% | 94.575678 % | 94.598379 % | 0.94324023 | 17.853478s | C: 0.039359253136468826, coef0: 8.75, degree: 3, gamma: 4.148, kfolds: 10
PCA 95% | 95.1618548 % | 95.352943 % | 0.95156070 | 42.168675s | C: 0.01042972703119559, coef0: 1.41, degree: 3, gamma: 5.798, kfolds: 10
----------- SVM POLYNOMIAL (4st degree) Kernel -----------------------
| ACCURACY | RECALL | F1-SCORE | TIME | HYPERPARAMETERS
15 features | 92.003500 % | 91.691493 % | 0.92021860 | 196.75588s | C: 0.011271048406873603, coef0: 4.93, degree: 4, gamma: 2.515, kfolds: 10
30 features | 93.735783 % | 94.119233 % | 0.93696985 | 16.249465s | C: 0.0002707325278134873, coef0: 7.25, degree: 4, gamma: 5.168, kfolds: 10
Standardized | 95.608049 % | 96.172220 % | 0.95581098 | 27.536939s | C: 0.030897845012780853, coef0: 9.38, degree: 4, gamma: 4.148, kfolds: 10
Non-Standardized | 43.595801 % | 46.137063 % | 0.58084541 | 30.366286s | C: 0.19151687218866523, coef0: 4.11, degree: 4, gamma: 2.673, kfolds: 10
PCA 90% | 94.951881 % | 95.412851 % | 0.94747010 | 18.893580s | C: 0.0006448914291846603, coef0: 5.45, degree: 4, gamma: 3.6432, kfolds: 10
PCA 95% | 94.301837 % | 95.692404 % | 0.95279969 | 8.7401831s | C: 4.01959766975831e-05, coef0: 8.77, degree: 4, gamma: 3.053, kfolds: 10