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parameter_scan_pca_svm.log
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number of person before formatting: 146
number of POI before formatting: 18
number of person after formatting: 101
number of POI after formatting: 12
number of features: 1
recall: 0.334 +/- 0.060
accuracy: 0.923 +/- 0.007
precision: 1.000 +/- 0.000
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.01, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.92692 Precision: 1.00000 Recall: 0.36667 F1: 0.53659 F2: 0.41985
Total predictions: 260 True positives: 11 False positives: 0 False negatives: 19 True negatives: 230
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 0.1}
recall: 0.313 +/- 0.050
accuracy: 0.917 +/- 0.005
precision: 0.925 +/- 0.064
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.1, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.91923 Precision: 0.90909 Recall: 0.33333 F1: 0.48780 F2: 0.38168
Total predictions: 260 True positives: 10 False positives: 1 False negatives: 20 True negatives: 229
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 1.0}
recall: 0.334 +/- 0.060
accuracy: 0.914 +/- 0.006
precision: 0.825 +/- 0.117
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=1.0, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.91154 Precision: 0.73333 Recall: 0.36667 F1: 0.48889 F2: 0.40741
Total predictions: 260 True positives: 11 False positives: 4 False negatives: 19 True negatives: 226
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 0.1}
recall: 0.334 +/- 0.060
accuracy: 0.914 +/- 0.006
precision: 0.825 +/- 0.117
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=10.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.1, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.91154 Precision: 0.73333 Recall: 0.36667 F1: 0.48889 F2: 0.40741
Total predictions: 260 True positives: 11 False positives: 4 False negatives: 19 True negatives: 226
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 1.0}
recall: 0.334 +/- 0.060
accuracy: 0.917 +/- 0.006
precision: 0.888 +/- 0.097
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=10.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=1.0, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.91154 Precision: 0.73333 Recall: 0.36667 F1: 0.48889 F2: 0.40741
Total predictions: 260 True positives: 11 False positives: 4 False negatives: 19 True negatives: 226
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 0.1}
recall: 0.334 +/- 0.060
accuracy: 0.923 +/- 0.007
precision: 0.992 +/- 0.025
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.1, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.92308 Precision: 0.91667 Recall: 0.36667 F1: 0.52381 F2: 0.41667
Total predictions: 260 True positives: 11 False positives: 1 False negatives: 19 True negatives: 229
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 1.0}
recall: 0.334 +/- 0.060
accuracy: 0.918 +/- 0.007
precision: 0.908 +/- 0.095
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=1.0, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.90769 Precision: 0.68750 Recall: 0.36667 F1: 0.47826 F2: 0.40441
Total predictions: 260 True positives: 11 False positives: 5 False negatives: 19 True negatives: 225
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 0.01}
recall: 0.334 +/- 0.060
accuracy: 0.918 +/- 0.006
precision: 0.893 +/- 0.090
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=1000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.01, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.91538 Precision: 0.78571 Recall: 0.36667 F1: 0.50000 F2: 0.41045
Total predictions: 260 True positives: 11 False positives: 3 False negatives: 19 True negatives: 227
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 0.1}
recall: 0.334 +/- 0.060
accuracy: 0.923 +/- 0.007
precision: 0.992 +/- 0.025
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=1000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.1, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.92308 Precision: 0.91667 Recall: 0.36667 F1: 0.52381 F2: 0.41667
Total predictions: 260 True positives: 11 False positives: 1 False negatives: 19 True negatives: 229
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 1.0}
recall: 0.334 +/- 0.060
accuracy: 0.907 +/- 0.007
precision: 0.743 +/- 0.139
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=1000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=1.0, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.90000 Precision: 0.61111 Recall: 0.36667 F1: 0.45833 F2: 0.39855
Total predictions: 260 True positives: 11 False positives: 7 False negatives: 19 True negatives: 223
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 0.01}
recall: 0.334 +/- 0.060
accuracy: 0.920 +/- 0.006
precision: 0.924 +/- 0.065
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=10000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.01, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.91923 Precision: 0.84615 Recall: 0.36667 F1: 0.51163 F2: 0.41353
Total predictions: 260 True positives: 11 False positives: 2 False negatives: 19 True negatives: 228
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 0.1}
recall: 0.334 +/- 0.060
accuracy: 0.922 +/- 0.008
precision: 0.973 +/- 0.080
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=10000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.1, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.91154 Precision: 0.73333 Recall: 0.36667 F1: 0.48889 F2: 0.40741
Total predictions: 260 True positives: 11 False positives: 4 False negatives: 19 True negatives: 226
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 0.01}
recall: 0.334 +/- 0.060
accuracy: 0.923 +/- 0.007
precision: 1.000 +/- 0.000
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.01, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.92692 Precision: 1.00000 Recall: 0.36667 F1: 0.53659 F2: 0.41985
Total predictions: 260 True positives: 11 False positives: 0 False negatives: 19 True negatives: 230
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 0.1}
recall: 0.334 +/- 0.060
accuracy: 0.922 +/- 0.008
precision: 0.973 +/- 0.080
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.1, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.91154 Precision: 0.73333 Recall: 0.36667 F1: 0.48889 F2: 0.40741
Total predictions: 260 True positives: 11 False positives: 4 False negatives: 19 True negatives: 226
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 1000.0}
maximum precision: 1.000
clf for maximum precision: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.01, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
maximum recall: 0.334
clf for maximum recall: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=1.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=1.0, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
maximum accuracy: 0.923
clf for maximum accuracy: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=1, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.01, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
number of person after formatting: 126
number of POI after formatting: 18
number of features: 2
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 1000.0}
zero-size array to reduction operation maximum which has no identity
zero-size array to reduction operation maximum which has no identity
zero-size array to reduction operation maximum which has no identity
number of person after formatting: 128
number of POI after formatting: 18
number of features: 3
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 1000.0}
zero-size array to reduction operation maximum which has no identity
zero-size array to reduction operation maximum which has no identity
zero-size array to reduction operation maximum which has no identity
number of person after formatting: 131
number of POI after formatting: 18
number of features: 4
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 0.01}
recall: 0.315 +/- 0.061
accuracy: 0.875 +/- 0.016
precision: 0.692 +/- 0.126
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=3, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.01, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.86364 Precision: 0.60870 Recall: 0.28000 F1: 0.38356 F2: 0.31390
Total predictions: 330 True positives: 14 False positives: 9 False negatives: 36 True negatives: 271
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.01, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.01, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.01, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.01, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.01, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.01, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.1, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.1, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.1, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.1, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.1, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.1, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100000.0, 'clf__gamma': 0.01}
recall: 0.315 +/- 0.061
accuracy: 0.875 +/- 0.016
precision: 0.692 +/- 0.126
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=4, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.01, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.86364 Precision: 0.60870 Recall: 0.28000 F1: 0.38356 F2: 0.31390
Total predictions: 330 True positives: 14 False positives: 9 False negatives: 36 True negatives: 271
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100000.0, 'clf__gamma': 1000.0}
maximum precision: 0.692
clf for maximum precision: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=3, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.01, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
maximum recall: 0.315
clf for maximum recall: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=3, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.01, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
maximum accuracy: 0.875
clf for maximum accuracy: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=3, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.01, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
number of person after formatting: 131
number of POI after formatting: 18
number of features: 5
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.01, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 0.1, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 1000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 10000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 1, 'clf__C': 100000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.01, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 0.1, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 1000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 10000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 2, 'clf__C': 100000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.01, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 0.1, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 1000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 10000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 3, 'clf__C': 100000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.01, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.01, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.01, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.01, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.01, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.01, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.1, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.1, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.1, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.1, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.1, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 0.1, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 1000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 10000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100000.0, 'clf__gamma': 0.01}
recall: 0.478 +/- 0.072
accuracy: 0.849 +/- 0.012
precision: 0.507 +/- 0.032
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=4, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.01, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.85455 Precision: 0.52500 Recall: 0.42000 F1: 0.46667 F2: 0.43750
Total predictions: 330 True positives: 21 False positives: 19 False negatives: 29 True negatives: 261
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 4, 'clf__C': 100000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 0.01, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 0.01, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 0.01, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 0.01, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 0.01, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 0.01, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 0.1, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 0.1, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 0.1, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 0.1, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 0.1, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 0.1, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 1.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 1.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 1.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 1.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 1.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 1.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 10.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 10.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 10.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 10.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 10.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 10.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 100.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 100.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 100.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 100.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 100.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 100.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 1000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 1000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 1000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 1000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 1000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 1000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 10000.0, 'clf__gamma': 0.01}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 10000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 10000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 10000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 10000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 10000.0, 'clf__gamma': 1000.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 100000.0, 'clf__gamma': 0.01}
recall: 0.478 +/- 0.072
accuracy: 0.854 +/- 0.009
precision: 0.519 +/- 0.031
clf: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=5, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.01, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
Accuracy: 0.85455 Precision: 0.52500 Recall: 0.42000 F1: 0.46667 F2: 0.43750
Total predictions: 330 True positives: 21 False positives: 19 False negatives: 29 True negatives: 261
parameters: {'dim_reduct__n_components': 5, 'clf__C': 100000.0, 'clf__gamma': 0.1}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 100000.0, 'clf__gamma': 1.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 100000.0, 'clf__gamma': 10.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 100000.0, 'clf__gamma': 100.0}
parameters: {'dim_reduct__n_components': 5, 'clf__C': 100000.0, 'clf__gamma': 1000.0}
maximum precision: 0.519
clf for maximum precision: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=5, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.01, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
maximum recall: 0.478
clf for maximum recall: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=4, random_state=None,
svd_solver='auto', tol=0.0, whiten=False)), ('clf', SVC(C=100000.0, cache_size=200, class_weight=None, coef0=0.0,
decision_function_shape='ovr', degree=3, gamma=0.01, kernel='rbf',
max_iter=-1, probability=False, random_state=None, shrinking=True,
tol=0.001, verbose=False))])
maximum accuracy: 0.854
clf for maximum accuracy: Pipeline(memory=None,
steps=[('dim_reduct', PCA(copy=True, iterated_power='auto', n_components=5, random_state=None,