8906785 1935 Hilde Weerts 14 Supervised Classification 8317 sklearn.pipeline.Pipeline(imputation=hyperimp.utils.preprocessing.ConditionalImputer,hotencoding=sklearn.preprocessing.data.OneHotEncoder,scaling=sklearn.preprocessing.data.StandardScaler,variencethreshold=sklearn.feature_selection.variance_threshold.VarianceThreshold,clf=sklearn.svm.classes.SVC)(1) 6844216 categorical_features [] 7644 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 7644 handle_unknown "ignore" 7644 n_values "auto" 7644 sparse true 7644 threshold 0.0 7645 copy true 7646 with_mean false 7646 with_std true 7646 C 1.4284742740546565 7650 cache_size 200 7650 class_weight null 7650 coef0 0.2757237527227806 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.0009518537530100743 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 0.00012673454526759218 7650 verbose false 7650 axis 0 8316 categorical_features [] 8316 copy true 8316 fill_empty 0 8316 missing_values "NaN" 8316 strategy "mean" 8316 strategy_nominal "most_frequent" 8316 verbose 0 8316 memory null 8317 openml-python Sklearn_0.19.1. study_98 14 mfeat-fourier https://www.openml.org/data/download/14/dataset_14_mfeat-fourier.arff -1 18729302 description https://api.openml.org/data/download/18729302/description.xml -1 18729303 predictions https://api.openml.org/data/download/18729303/predictions.arff area_under_roc_curve 0.8919444444444445 [0.9925,0.857222,0.964444,0.912778,0.851389,0.948889,0.672778,0.955278,0.985278,0.778889] average_cost 0 f_measure 0.8026153168073528 [0.992443,0.724638,0.939698,0.869792,0.768,0.90099,0.449704,0.852608,0.967742,0.560538] kappa 0.7838888888888889 kb_relative_information_score 1593.200336171854 mean_absolute_error 0.03890000000000028 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8067530564676879 [1,0.700935,0.944444,0.907609,0.822857,0.892157,0.550725,0.780083,0.960591,0.50813] predictive_accuracy 0.8055 prior_entropy 3.321928094887362 recall 0.8055 [0.985,0.75,0.935,0.835,0.72,0.91,0.38,0.94,0.975,0.625] relative_absolute_error 0.21611111111110604 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1972308292331609 root_relative_squared_error 0.6574360974438597 total_cost 0 area_under_roc_curve 0.8722222222222222 [0.975,0.913889,0.969444,0.872222,0.897222,0.972222,0.544444,0.891667,0.997222,0.688889] area_under_roc_curve 0.8888888888888888 [1,0.866667,0.969444,0.922222,0.788889,0.936111,0.688889,0.930556,0.969444,0.816667] area_under_roc_curve 0.9055555555555556 [1,0.880556,0.975,0.891667,0.913889,0.947222,0.663889,0.941667,1,0.841667] area_under_roc_curve 0.8972222222222221 [0.975,0.838889,0.975,0.969444,0.880556,0.941667,0.713889,0.913889,0.969444,0.794444] area_under_roc_curve 0.8916666666666666 [1,0.788889,0.975,0.916667,0.838889,0.938889,0.708333,0.980556,1,0.769444] area_under_roc_curve 0.9027777777777777 [1,0.886111,0.994444,0.897222,0.891667,0.947222,0.655556,0.991667,1,0.763889] area_under_roc_curve 0.8972222222222221 [1,0.858333,0.925,0.941667,0.819444,0.938889,0.780556,0.980556,1,0.727778] area_under_roc_curve 0.9027777777777777 [0.975,0.858333,0.947222,0.919444,0.847222,0.947222,0.755556,0.958333,0.969444,0.85] area_under_roc_curve 0.8972222222222221 [1,0.808333,0.997222,0.947222,0.791667,0.944444,0.619444,0.980556,1,0.883333] area_under_roc_curve 0.8638888888888888 [1,0.872222,0.916667,0.85,0.844444,0.975,0.597222,0.983333,0.947222,0.652778] average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 average_cost 0 f_measure 0.7656433387208136 [0.974359,0.705882,0.926829,0.833333,0.864865,0.95,0.176471,0.820513,0.97561,0.428571] f_measure 0.7950440684067314 [1,0.789474,0.926829,0.894737,0.666667,0.837209,0.5,0.8,0.926829,0.608696] f_measure 0.8259362613197309 [1,0.744186,0.974359,0.820513,0.829268,0.923077,0.451613,0.878049,1,0.638298] f_measure 0.8127085346612468 [0.974359,0.736842,0.974359,0.926829,0.744186,0.878049,0.545455,0.829268,0.926829,0.590909] f_measure 0.8008499682388325 [1,0.666667,0.974359,0.85,0.736842,0.857143,0.514286,0.851064,1,0.55814] f_measure 0.8216653963068831 [1,0.780488,0.952381,0.864865,0.820513,0.923077,0.411765,0.930233,1,0.533333] f_measure 0.8121439251125427 [1,0.731707,0.918919,0.878049,0.742857,0.857143,0.615385,0.851064,1,0.526316] f_measure 0.8256054272357224 [0.974359,0.731707,0.923077,0.871795,0.8,0.923077,0.578947,0.844444,0.926829,0.681818] f_measure 0.8026347985559193 [1,0.666667,0.97561,0.923077,0.685714,0.9,0.37037,0.851064,1,0.653846] f_measure 0.755523031955257 [1,0.695652,0.85,0.823529,0.777778,0.974359,0.285714,0.869565,0.923077,0.355556] kappa 0.7444444444444445 kappa 0.7777777777777778 kappa 0.8111111111111111 kappa 0.7944444444444444 kappa 0.7833333333333334 kappa 0.8055555555555555 kappa 0.7944444444444444 kappa 0.8055555555555555 kappa 0.7944444444444444 kappa 0.7277777777777777 kb_relative_information_score 151.89515543420927 kb_relative_information_score 158.16970037757324 kb_relative_information_score 164.4442453209372 kb_relative_information_score 161.3069728492552 kb_relative_information_score 159.21545786813388 kb_relative_information_score 163.39848783037652 kb_relative_information_score 161.3069728492552 kb_relative_information_score 163.39848783037652 kb_relative_information_score 161.3069728492552 kb_relative_information_score 148.75788296252722 mean_absolute_error 0.046 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.03900000000000002 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.03700000000000002 mean_absolute_error 0.04899999999999999 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.7731946375555934 [1,0.580645,0.904762,0.9375,0.941176,0.95,0.214286,0.842105,0.952381,0.409091] precision 0.8045038488081967 [1,0.833333,0.904762,0.944444,0.75,0.782609,0.666667,0.72,0.904762,0.538462] precision 0.8343711716709429 [1,0.695652,1,0.842105,0.809524,0.947368,0.636364,0.857143,1,0.555556] precision 0.8183594786855656 [1,0.777778,1,0.904762,0.695652,0.857143,0.692308,0.809524,0.904762,0.541667] precision 0.8058439467135119 [1,0.75,1,0.85,0.777778,0.818182,0.6,0.740741,1,0.521739] precision 0.8251211043185737 [1,0.761905,0.909091,0.941176,0.842105,0.947368,0.5,0.869565,1,0.48] precision 0.8184152299941774 [1,0.714286,1,0.857143,0.866667,0.818182,0.631579,0.740741,1,0.555556] precision 0.833796574770259 [1,0.714286,0.947368,0.894737,0.933333,0.947368,0.611111,0.76,0.904762,0.625] precision 0.8270236354775828 [1,0.684211,0.952381,0.947368,0.8,0.9,0.714286,0.740741,1,0.53125] precision 0.771031713900135 [1,0.615385,0.85,1,0.875,1,0.333333,0.769231,0.947368,0.32] predictive_accuracy 0.77 predictive_accuracy 0.8 predictive_accuracy 0.83 predictive_accuracy 0.815 predictive_accuracy 0.805 predictive_accuracy 0.825 predictive_accuracy 0.815 predictive_accuracy 0.825 predictive_accuracy 0.815 predictive_accuracy 0.755 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 prior_entropy 3.321928094887362 recall 0.77 [0.95,0.9,0.95,0.75,0.8,0.95,0.15,0.8,1,0.45] recall 0.8 [1,0.75,0.95,0.85,0.6,0.9,0.4,0.9,0.95,0.7] recall 0.83 [1,0.8,0.95,0.8,0.85,0.9,0.35,0.9,1,0.75] recall 0.815 [0.95,0.7,0.95,0.95,0.8,0.9,0.45,0.85,0.95,0.65] recall 0.805 [1,0.6,0.95,0.85,0.7,0.9,0.45,1,1,0.6] recall 0.825 [1,0.8,1,0.8,0.8,0.9,0.35,1,1,0.6] recall 0.815 [1,0.75,0.85,0.9,0.65,0.9,0.6,1,1,0.5] recall 0.825 [0.95,0.75,0.9,0.85,0.7,0.9,0.55,0.95,0.95,0.75] recall 0.815 [1,0.65,1,0.9,0.6,0.9,0.25,1,1,0.85] recall 0.755 [1,0.8,0.85,0.7,0.7,0.95,0.25,1,0.9,0.4] relative_absolute_error 0.2555555555555558 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.21666666666666703 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.20555555555555588 relative_absolute_error 0.2722222222222225 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.21447610589527216 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.19748417658131504 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.19235384061671348 root_mean_squared_error 0.22135943621178653 root_relative_squared_error 0.714920352984241 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.6582805886043839 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.6411794687223786 root_relative_squared_error 0.7378647873726222 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 total_cost 0 usercpu_time_millis 3545.4116270002487 usercpu_time_millis 3494.369292999181 usercpu_time_millis 3595.202646999496 usercpu_time_millis 3595.792712999355 usercpu_time_millis 3063.732352000443 usercpu_time_millis 2838.173973999801 usercpu_time_millis 2760.206790999291 usercpu_time_millis 2794.4501379997746 usercpu_time_millis 3235.586413999954 usercpu_time_millis 3440.903071000321 usercpu_time_millis_testing 43.081894000351895 usercpu_time_millis_testing 42.862405000050785 usercpu_time_millis_testing 41.821806999905675 usercpu_time_millis_testing 43.43298000003415 usercpu_time_millis_testing 36.68888100037293 usercpu_time_millis_testing 40.78093699990859 usercpu_time_millis_testing 39.4614549995822 usercpu_time_millis_testing 40.636069000356656 usercpu_time_millis_testing 44.80727099962678 usercpu_time_millis_testing 43.92222899969056 usercpu_time_millis_training 3502.329732999897 usercpu_time_millis_training 3451.5068879991304 usercpu_time_millis_training 3553.3808399995905 usercpu_time_millis_training 3552.359732999321 usercpu_time_millis_training 3027.04347100007 usercpu_time_millis_training 2797.3930369998925 usercpu_time_millis_training 2720.745335999709 usercpu_time_millis_training 2753.814068999418 usercpu_time_millis_training 3190.779143000327 usercpu_time_millis_training 3396.98084200063