8906531 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) 6843993 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 73.67504507898016 7650 cache_size 200 7650 class_weight null 7650 coef0 0.5601552066483784 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.03309584049028035 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 0.0017402868019979517 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 18728796 description https://api.openml.org/data/download/18728796/description.xml -1 18728797 predictions https://api.openml.org/data/download/18728797/predictions.arff area_under_roc_curve 0.9027777777777778 [0.9875,0.879722,0.968889,0.940278,0.921111,0.970833,0.722778,0.944444,0.986389,0.705833] average_cost 0 f_measure 0.8247269052166388 [0.987342,0.793893,0.959184,0.901266,0.851485,0.920482,0.495098,0.882927,0.977444,0.478149] kappa 0.8055555555555555 kb_relative_information_score 1633.9848783037173 mean_absolute_error 0.035000000000000225 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8251231357385422 [1,0.80829,0.979167,0.912821,0.843137,0.888372,0.485577,0.861905,0.979899,0.492063] predictive_accuracy 0.825 prior_entropy 3.321928094887362 recall 0.825 [0.975,0.78,0.94,0.89,0.86,0.955,0.505,0.905,0.975,0.465] relative_absolute_error 0.1944444444444397 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.18708286933869767 root_relative_squared_error 0.623609564462316 total_cost 0 area_under_roc_curve 0.888888888888889 [0.975,0.9,0.972222,0.925,0.916667,0.969444,0.622222,0.869444,0.997222,0.741667] area_under_roc_curve 0.888888888888889 [0.975,0.888889,0.975,0.919444,0.883333,0.941667,0.675,0.913889,0.975,0.741667] area_under_roc_curve 0.9 [0.95,0.861111,0.975,0.922222,0.961111,0.969444,0.716667,0.919444,1,0.725] area_under_roc_curve 0.9305555555555556 [1,0.847222,0.975,0.963889,0.991667,0.972222,0.875,0.966667,0.975,0.738889] area_under_roc_curve 0.886111111111111 [1,0.811111,0.95,0.894444,0.941667,0.991667,0.691667,0.911111,1,0.669444] area_under_roc_curve 0.9138888888888889 [1,0.95,1,0.897222,0.886111,0.966667,0.747222,0.994444,1,0.697222] area_under_roc_curve 0.911111111111111 [0.975,0.863889,0.95,0.966667,0.897222,0.961111,0.869444,0.988889,0.997222,0.641667] area_under_roc_curve 0.913888888888889 [1,0.891667,0.947222,0.969444,0.897222,0.997222,0.766667,0.941667,0.972222,0.755556] area_under_roc_curve 0.9222222222222222 [1,0.891667,1,0.997222,0.969444,0.975,0.608333,0.997222,1,0.783333] area_under_roc_curve 0.8722222222222222 [1,0.891667,0.944444,0.947222,0.866667,0.963889,0.655556,0.941667,0.947222,0.563889] 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 0.7990619403571634 [0.974359,0.73913,0.95,0.918919,0.85,0.926829,0.333333,0.810811,0.97561,0.511628] f_measure 0.8008153969356465 [0.974359,0.8,0.974359,0.871795,0.761905,0.878049,0.432432,0.829268,0.974359,0.511628] f_measure 0.8217735730251775 [0.947368,0.75,0.974359,0.894737,0.863636,0.926829,0.47619,0.871795,1,0.512821] f_measure 0.8716779747080704 [1,0.8,0.974359,0.883721,0.930233,0.95,0.711111,0.904762,0.974359,0.588235] f_measure 0.7940770159177778 [1,0.684211,0.947368,0.842105,0.878049,0.930233,0.439024,0.809524,1,0.410256] f_measure 0.8447987775330522 [1,0.947368,1,0.864865,0.780488,0.904762,0.536585,0.952381,1,0.461538] f_measure 0.830356613037204 [0.974359,0.769231,0.947368,0.904762,0.864865,0.863636,0.680851,0.909091,0.97561,0.413793] f_measure 0.8463344327208254 [1,0.820513,0.923077,0.926829,0.864865,0.97561,0.545455,0.878049,0.95,0.578947] f_measure 0.8537167887187558 [1,0.820513,1,0.97561,0.926829,0.974359,0.322581,0.97561,1,0.541667] f_measure 0.7697762641450134 [1,0.820513,0.9,0.923077,0.789474,0.883721,0.363636,0.878049,0.923077,0.216216] kappa 0.7777777777777778 kappa 0.7777777777777778 kappa 0.7999999999999999 kappa 0.8611111111111112 kappa 0.7722222222222223 kappa 0.8277777777777777 kappa 0.8222222222222222 kappa 0.8277777777777777 kappa 0.8444444444444444 kappa 0.7444444444444445 kb_relative_information_score 158.16970037757324 kb_relative_information_score 158.16970037757324 kb_relative_information_score 162.35273033981585 kb_relative_information_score 173.8560627359831 kb_relative_information_score 157.1239428870126 kb_relative_information_score 167.58151779261917 kb_relative_information_score 166.5357603020585 kb_relative_information_score 167.58151779261917 kb_relative_information_score 170.71879026430113 kb_relative_information_score 151.89515543420927 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.03600000000000002 mean_absolute_error 0.02500000000000001 mean_absolute_error 0.041000000000000016 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.032000000000000015 mean_absolute_error 0.031000000000000014 mean_absolute_error 0.02800000000000001 mean_absolute_error 0.046 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 0.8046602821730698 [1,0.653846,0.95,1,0.85,0.904762,0.375,0.882353,0.952381,0.478261] precision 0.8037525340903992 [1,0.8,1,0.894737,0.727273,0.857143,0.470588,0.809524,1,0.478261] precision 0.8266471101997417 [1,0.75,1,0.944444,0.791667,0.904762,0.454545,0.894737,1,0.526316] precision 0.8796907585168454 [1,0.933333,1,0.826087,0.869565,0.95,0.64,0.863636,1,0.714286] precision 0.7960170518522922 [1,0.722222,1,0.888889,0.857143,0.869565,0.428571,0.772727,1,0.421053] precision 0.8473302239556111 [1,1,1,0.941176,0.761905,0.863636,0.52381,0.909091,1,0.473684] precision 0.8430926730075337 [1,0.789474,1,0.863636,0.941176,0.791667,0.592593,0.833333,0.952381,0.666667] precision 0.8506046980195587 [1,0.842105,0.947368,0.904762,0.941176,0.952381,0.5,0.857143,0.95,0.611111] precision 0.8570460241512872 [1,0.842105,1,0.952381,0.904762,1,0.454545,0.952381,1,0.464286] precision 0.772203270324148 [1,0.842105,0.9,0.947368,0.833333,0.826087,0.333333,0.857143,0.947368,0.235294] predictive_accuracy 0.8 predictive_accuracy 0.8 predictive_accuracy 0.82 predictive_accuracy 0.875 predictive_accuracy 0.795 predictive_accuracy 0.845 predictive_accuracy 0.84 predictive_accuracy 0.845 predictive_accuracy 0.86 predictive_accuracy 0.77 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 0.8 [0.95,0.85,0.95,0.85,0.85,0.95,0.3,0.75,1,0.55] recall 0.8 [0.95,0.8,0.95,0.85,0.8,0.9,0.4,0.85,0.95,0.55] recall 0.82 [0.9,0.75,0.95,0.85,0.95,0.95,0.5,0.85,1,0.5] recall 0.875 [1,0.7,0.95,0.95,1,0.95,0.8,0.95,0.95,0.5] recall 0.795 [1,0.65,0.9,0.8,0.9,1,0.45,0.85,1,0.4] recall 0.845 [1,0.9,1,0.8,0.8,0.95,0.55,1,1,0.45] recall 0.84 [0.95,0.75,0.9,0.95,0.8,0.95,0.8,1,1,0.3] recall 0.845 [1,0.8,0.9,0.95,0.8,1,0.6,0.9,0.95,0.55] recall 0.86 [1,0.8,1,1,0.95,0.95,0.25,1,1,0.65] recall 0.77 [1,0.8,0.9,0.9,0.75,0.95,0.4,0.9,0.9,0.2] relative_absolute_error 0.22222222222222257 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.20000000000000032 relative_absolute_error 0.1388888888888891 relative_absolute_error 0.2277777777777781 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.17777777777777806 relative_absolute_error 0.1722222222222225 relative_absolute_error 0.15555555555555578 relative_absolute_error 0.2555555555555558 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 0.20000000000000004 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.1897366596101028 root_mean_squared_error 0.158113883008419 root_mean_squared_error 0.20248456731316591 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.1788854381999832 root_mean_squared_error 0.17606816861659014 root_mean_squared_error 0.16733200530681513 root_mean_squared_error 0.21447610589527216 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.6324555320336763 root_relative_squared_error 0.5270462766947304 root_relative_squared_error 0.6749485577105534 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.5962847939999444 root_relative_squared_error 0.5868938953886341 root_relative_squared_error 0.5577733510227175 root_relative_squared_error 0.714920352984241 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 3561.2169530004394 usercpu_time_millis 3763.403395999376 usercpu_time_millis 3791.355661000125 usercpu_time_millis 3772.1743780002726 usercpu_time_millis 3549.37155800053 usercpu_time_millis 3559.20929200056 usercpu_time_millis 3644.5258839994494 usercpu_time_millis 3373.839802000475 usercpu_time_millis 3183.6530430000494 usercpu_time_millis 3111.8755110001075 usercpu_time_millis_testing 40.705235000132234 usercpu_time_millis_testing 47.2151149997444 usercpu_time_millis_testing 46.979263999674004 usercpu_time_millis_testing 46.14617700008239 usercpu_time_millis_testing 46.7435230002593 usercpu_time_millis_testing 46.85561000042071 usercpu_time_millis_testing 48.25918099959381 usercpu_time_millis_testing 39.71647300022596 usercpu_time_millis_testing 40.69260500000382 usercpu_time_millis_testing 40.46751700025197 usercpu_time_millis_training 3520.511718000307 usercpu_time_millis_training 3716.1882809996314 usercpu_time_millis_training 3744.376397000451 usercpu_time_millis_training 3726.02820100019 usercpu_time_millis_training 3502.6280350002708 usercpu_time_millis_training 3512.353682000139 usercpu_time_millis_training 3596.2667029998556 usercpu_time_millis_training 3334.123329000249 usercpu_time_millis_training 3142.9604380000455 usercpu_time_millis_training 3071.4079939998555