8906376 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) 6843852 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 0.6649818662199884 7650 cache_size 200 7650 class_weight null 7650 coef0 0.22056934522833838 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.00047831485365175223 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 7.62565900143717e-05 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 18728488 description https://api.openml.org/data/download/18728488/description.xml -1 18728489 predictions https://api.openml.org/data/download/18728489/predictions.arff area_under_roc_curve 0.8672222222222221 [0.975,0.853056,0.937778,0.8625,0.815278,0.9375,0.655556,0.888333,0.984444,0.762778] average_cost 0 f_measure 0.7611577061383773 [0.974359,0.67706,0.898477,0.805479,0.712329,0.879012,0.411765,0.79602,0.942308,0.514768] kappa 0.7344444444444445 kb_relative_information_score 1500.127919511962 mean_absolute_error 0.04780000000000041 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7714635552584355 [1,0.610442,0.912371,0.890909,0.787879,0.868293,0.5,0.792079,0.907407,0.445255] predictive_accuracy 0.7609999999999999 prior_entropy 3.321928094887362 recall 0.761 [0.95,0.76,0.885,0.735,0.65,0.89,0.35,0.8,0.98,0.61] relative_absolute_error 0.26555555555554966 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.2186321110907554 root_relative_squared_error 0.7287737036358402 total_cost 0 area_under_roc_curve 0.8444444444444444 [0.95,0.891667,0.911111,0.872222,0.866667,0.972222,0.541667,0.813889,0.994444,0.630556] area_under_roc_curve 0.8694444444444442 [1,0.85,0.941667,0.872222,0.772222,0.911111,0.705556,0.863889,0.969444,0.808333] area_under_roc_curve 0.8694444444444445 [0.95,0.880556,0.9,0.816667,0.883333,0.95,0.663889,0.866667,0.994444,0.788889] area_under_roc_curve 0.8861111111111112 [0.925,0.830556,0.975,0.919444,0.891667,0.966667,0.702778,0.863889,0.963889,0.822222] area_under_roc_curve 0.8527777777777777 [1,0.772222,0.897222,0.841667,0.761111,0.930556,0.658333,0.908333,0.997222,0.761111] area_under_roc_curve 0.8833333333333333 [1,0.883333,0.997222,0.847222,0.813889,0.941667,0.655556,0.938889,0.997222,0.758333] area_under_roc_curve 0.8833333333333333 [0.975,0.833333,0.922222,0.938889,0.766667,0.888889,0.736111,0.958333,0.994444,0.819444] area_under_roc_curve 0.8833333333333333 [0.975,0.875,0.919444,0.869444,0.791667,0.919444,0.730556,0.941667,0.994444,0.816667] area_under_roc_curve 0.8638888888888888 [0.975,0.847222,0.997222,0.822222,0.788889,0.919444,0.588889,0.888889,0.994444,0.816667] area_under_roc_curve 0.8361111111111111 [1,0.866667,0.916667,0.825,0.816667,0.975,0.572222,0.838889,0.944444,0.605556] 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 0.7175670421001772 [0.947368,0.693878,0.809524,0.833333,0.789474,0.95,0.171429,0.702703,0.952381,0.325581] f_measure 0.7657712714115152 [1,0.681818,0.878049,0.833333,0.6875,0.809524,0.5,0.769231,0.926829,0.571429] f_measure 0.7667947080205033 [0.947368,0.641509,0.888889,0.722222,0.761905,0.947368,0.451613,0.789474,0.952381,0.565217] f_measure 0.7949076141929232 [0.918919,0.682927,0.974359,0.871795,0.820513,0.904762,0.486486,0.769231,0.883721,0.636364] f_measure 0.7316450289354677 [1,0.571429,0.864865,0.756757,0.611111,0.8,0.424242,0.790698,0.97561,0.521739] f_measure 0.7873421618187941 [1,0.761905,0.97561,0.8,0.702703,0.878049,0.411765,0.857143,0.97561,0.510638] f_measure 0.7863773687612698 [0.974359,0.7,0.894737,0.857143,0.647059,0.8,0.571429,0.844444,0.952381,0.622222] f_measure 0.7905250851168135 [0.974359,0.711111,0.871795,0.810811,0.685714,0.871795,0.540541,0.878049,0.952381,0.608696] f_measure 0.7493612341747206 [0.974359,0.666667,0.97561,0.764706,0.666667,0.871795,0.285714,0.8,0.952381,0.535714] f_measure 0.7142493643267638 [1,0.666667,0.85,0.787879,0.722222,0.974359,0.235294,0.736842,0.9,0.269231] kappa 0.6888888888888889 kappa 0.7388888888888889 kappa 0.7388888888888889 kappa 0.7722222222222223 kappa 0.7055555555555556 kappa 0.7666666666666667 kappa 0.7666666666666667 kappa 0.7666666666666667 kappa 0.7277777777777777 kappa 0.6722222222222222 kb_relative_information_score 141.4375805286025 kb_relative_information_score 150.84939794364857 kb_relative_information_score 150.84939794364857 kb_relative_information_score 157.1239428870126 kb_relative_information_score 144.57485300028452 kb_relative_information_score 156.07818539645191 kb_relative_information_score 156.07818539645194 kb_relative_information_score 156.07818539645191 kb_relative_information_score 148.75788296252722 kb_relative_information_score 138.30030805692047 mean_absolute_error 0.05599999999999996 mean_absolute_error 0.04699999999999999 mean_absolute_error 0.04699999999999999 mean_absolute_error 0.041000000000000016 mean_absolute_error 0.05299999999999997 mean_absolute_error 0.04200000000000001 mean_absolute_error 0.04200000000000001 mean_absolute_error 0.04200000000000001 mean_absolute_error 0.04899999999999999 mean_absolute_error 0.05899999999999995 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 0.7257912120143137 [1,0.586207,0.772727,0.9375,0.833333,0.95,0.2,0.764706,0.909091,0.304348] precision 0.7848531006198882 [1,0.625,0.857143,0.9375,0.916667,0.772727,0.5625,0.789474,0.904762,0.482759] precision 0.7933712121212122 [1,0.515152,1,0.8125,0.727273,1,0.636364,0.833333,0.909091,0.5] precision 0.7995450874337667 [1,0.666667,1,0.894737,0.842105,0.863636,0.529412,0.789474,0.826087,0.583333] precision 0.7409171814971047 [1,0.545455,0.941176,0.823529,0.6875,0.72,0.538462,0.73913,0.952381,0.461538] precision 0.7949842967490026 [1,0.727273,0.952381,0.933333,0.764706,0.857143,0.5,0.818182,0.952381,0.444444] precision 0.7944098124098123 [1,0.7,0.944444,0.818182,0.785714,0.8,0.666667,0.76,0.909091,0.56] precision 0.8004757224199949 [1,0.64,0.894737,0.882353,0.8,0.894737,0.588235,0.857143,0.909091,0.538462] precision 0.775144679881522 [1,0.6,0.952381,0.928571,0.75,0.894737,0.5,0.8,0.909091,0.416667] precision 0.7416170634920636 [1,0.571429,0.85,1,0.8125,1,0.285714,0.777778,0.9,0.21875] predictive_accuracy 0.72 predictive_accuracy 0.765 predictive_accuracy 0.765 predictive_accuracy 0.795 predictive_accuracy 0.735 predictive_accuracy 0.79 predictive_accuracy 0.79 predictive_accuracy 0.79 predictive_accuracy 0.755 predictive_accuracy 0.705 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 0.72 [0.9,0.85,0.85,0.75,0.75,0.95,0.15,0.65,1,0.35] recall 0.765 [1,0.75,0.9,0.75,0.55,0.85,0.45,0.75,0.95,0.7] recall 0.765 [0.9,0.85,0.8,0.65,0.8,0.9,0.35,0.75,1,0.65] recall 0.795 [0.85,0.7,0.95,0.85,0.8,0.95,0.45,0.75,0.95,0.7] recall 0.735 [1,0.6,0.8,0.7,0.55,0.9,0.35,0.85,1,0.6] recall 0.79 [1,0.8,1,0.7,0.65,0.9,0.35,0.9,1,0.6] recall 0.79 [0.95,0.7,0.85,0.9,0.55,0.8,0.5,0.95,1,0.7] recall 0.79 [0.95,0.8,0.85,0.75,0.6,0.85,0.5,0.9,1,0.7] recall 0.755 [0.95,0.75,1,0.65,0.6,0.85,0.2,0.8,1,0.75] recall 0.705 [1,0.8,0.85,0.65,0.65,0.95,0.2,0.7,0.9,0.35] relative_absolute_error 0.3111111111111112 relative_absolute_error 0.26111111111111135 relative_absolute_error 0.26111111111111135 relative_absolute_error 0.2277777777777781 relative_absolute_error 0.2944444444444446 relative_absolute_error 0.23333333333333364 relative_absolute_error 0.23333333333333364 relative_absolute_error 0.23333333333333364 relative_absolute_error 0.2722222222222225 relative_absolute_error 0.32777777777777783 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 0.23664319132398456 root_mean_squared_error 0.21679483388678797 root_mean_squared_error 0.21679483388678797 root_mean_squared_error 0.20248456731316591 root_mean_squared_error 0.2302172886644267 root_mean_squared_error 0.20493901531919198 root_mean_squared_error 0.20493901531919198 root_mean_squared_error 0.20493901531919198 root_mean_squared_error 0.22135943621178653 root_mean_squared_error 0.2428991560298223 root_relative_squared_error 0.7888106377466158 root_relative_squared_error 0.7226494462892937 root_relative_squared_error 0.7226494462892937 root_relative_squared_error 0.6749485577105534 root_relative_squared_error 0.7673909622147562 root_relative_squared_error 0.6831300510639737 root_relative_squared_error 0.6831300510639737 root_relative_squared_error 0.6831300510639737 root_relative_squared_error 0.7378647873726222 root_relative_squared_error 0.8096638534327415 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 3558.9684959995793 usercpu_time_millis 3532.3999120000735 usercpu_time_millis 3612.592611999389 usercpu_time_millis 3380.1774839994323 usercpu_time_millis 2827.334198999779 usercpu_time_millis 2689.298038999368 usercpu_time_millis 2724.912651999148 usercpu_time_millis 2644.4581270006893 usercpu_time_millis 2935.511726000186 usercpu_time_millis 3476.478161999694 usercpu_time_millis_testing 54.20184699960373 usercpu_time_millis_testing 50.89274900001328 usercpu_time_millis_testing 51.36382899945602 usercpu_time_millis_testing 47.36614899957203 usercpu_time_millis_testing 42.898845999843616 usercpu_time_millis_testing 43.98040599971864 usercpu_time_millis_testing 42.453549999663664 usercpu_time_millis_testing 42.700494000200706 usercpu_time_millis_testing 51.769542999863916 usercpu_time_millis_testing 50.87029199967219 usercpu_time_millis_training 3504.7666489999756 usercpu_time_millis_training 3481.5071630000602 usercpu_time_millis_training 3561.228782999933 usercpu_time_millis_training 3332.8113349998603 usercpu_time_millis_training 2784.4353529999353 usercpu_time_millis_training 2645.3176329996495 usercpu_time_millis_training 2682.459101999484 usercpu_time_millis_training 2601.7576330004886 usercpu_time_millis_training 2883.7421830003223 usercpu_time_millis_training 3425.6078700000216