8905947 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) 6843479 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 26.614569781600796 7650 cache_size 200 7650 class_weight null 7650 coef0 0.4867072170252864 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.013237090887644257 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking true 7650 tol 0.0008847669024861837 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 18727632 description https://api.openml.org/data/download/18727632/description.xml -1 18727633 predictions https://api.openml.org/data/download/18727633/predictions.arff area_under_roc_curve 0.9138888888888889 [0.9975,0.899722,0.978333,0.955278,0.916944,0.971944,0.736389,0.958056,0.988889,0.735833] average_cost 0 f_measure 0.8449620278646948 [0.997494,0.817955,0.964824,0.917706,0.868895,0.947631,0.526316,0.905109,0.98,0.523691] kappa 0.8277777777777777 kb_relative_information_score 1675.8151779261398 mean_absolute_error 0.03100000000000017 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.845203661763374 [1,0.81592,0.969697,0.915423,0.89418,0.945274,0.527638,0.881517,0.98,0.522388] predictive_accuracy 0.845 prior_entropy 3.321928094887362 recall 0.845 [0.995,0.82,0.96,0.92,0.845,0.95,0.525,0.93,0.98,0.525] relative_absolute_error 0.17222222222221784 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.17606816861659058 root_relative_squared_error 0.5868938953886262 total_cost 0 area_under_roc_curve 0.9194444444444444 [0.975,0.930556,0.997222,0.95,0.941667,0.975,0.752778,0.894444,0.997222,0.780556] area_under_roc_curve 0.9027777777777777 [1,0.891667,0.975,0.941667,0.891667,0.947222,0.697222,0.963889,0.975,0.744444] area_under_roc_curve 0.9166666666666667 [1,0.936111,1,0.922222,0.963889,0.972222,0.747222,0.922222,1,0.702778] area_under_roc_curve 0.9472222222222223 [1,0.919444,0.975,0.991667,0.997222,0.975,0.880556,0.947222,0.975,0.811111] area_under_roc_curve 0.8888888888888888 [1,0.833333,0.95,0.916667,0.897222,0.966667,0.647222,0.963889,1,0.713889] area_under_roc_curve 0.9194444444444443 [1,0.919444,0.972222,0.919444,0.894444,0.994444,0.772222,0.994444,1,0.727778] area_under_roc_curve 0.9166666666666667 [1,0.891667,0.95,0.966667,0.894444,0.969444,0.8,0.991667,0.997222,0.705556] area_under_roc_curve 0.9305555555555555 [1,0.922222,0.997222,0.997222,0.894444,0.975,0.777778,0.966667,0.997222,0.777778] area_under_roc_curve 0.9194444444444443 [1,0.894444,1,0.997222,0.947222,0.975,0.608333,0.994444,1,0.777778] area_under_roc_curve 0.8777777777777779 [1,0.858333,0.966667,0.95,0.847222,0.969444,0.680556,0.941667,0.947222,0.616667] 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 0.8546947105098581 [0.974359,0.8,0.97561,0.947368,0.878049,0.974359,0.564103,0.842105,0.97561,0.615385] f_measure 0.8259938208888862 [1,0.820513,0.974359,0.878049,0.820513,0.923077,0.461538,0.883721,0.974359,0.52381] f_measure 0.8483475769108811 [1,0.837209,1,0.894737,0.883721,0.95,0.536585,0.894737,1,0.486486] f_measure 0.9052187605013231 [1,0.871795,0.974359,0.930233,0.97561,0.974359,0.744186,0.923077,0.974359,0.684211] f_measure 0.7994210778360105 [1,0.7,0.947368,0.85,0.864865,0.904762,0.378378,0.883721,1,0.465116] f_measure 0.8538201272411798 [1,0.871795,0.95,0.871795,0.842105,0.952381,0.571429,0.952381,1,0.526316] f_measure 0.8466467611062649 [1,0.820513,0.947368,0.904762,0.842105,0.926829,0.619048,0.930233,0.97561,0.5] f_measure 0.8742792252676719 [1,0.894737,0.97561,0.97561,0.842105,0.974359,0.6,0.904762,0.97561,0.6] f_measure 0.8510112514233596 [1,0.842105,1,0.97561,0.923077,0.974359,0.322581,0.952381,1,0.52] f_measure 0.7827582088429328 [1,0.731707,0.904762,0.947368,0.8,0.926829,0.4,0.878049,0.923077,0.315789] kappa 0.8388888888888889 kappa 0.8055555555555555 kappa 0.8333333333333333 kappa 0.8944444444444445 kappa 0.7777777777777778 kappa 0.8388888888888889 kappa 0.8333333333333333 kappa 0.8611111111111112 kappa 0.8388888888888889 kappa 0.7555555555555555 kb_relative_information_score 169.67303277374046 kb_relative_information_score 163.39848783037652 kb_relative_information_score 168.6272752831798 kb_relative_information_score 180.13060767934704 kb_relative_information_score 158.16970037757324 kb_relative_information_score 169.67303277374046 kb_relative_information_score 168.6272752831798 kb_relative_information_score 173.8560627359831 kb_relative_information_score 169.67303277374046 kb_relative_information_score 153.98667041533062 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.03500000000000002 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.019000000000000006 mean_absolute_error 0.040000000000000015 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.02500000000000001 mean_absolute_error 0.029000000000000012 mean_absolute_error 0.044000000000000004 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 0.8581319966583123 [1,0.72,0.952381,1,0.857143,1,0.578947,0.888889,0.952381,0.631579] precision 0.8288492971559333 [1,0.842105,1,0.857143,0.842105,0.947368,0.473684,0.826087,1,0.5] precision 0.850080582957821 [1,0.782609,1,0.944444,0.826087,0.95,0.52381,0.944444,1,0.529412] precision 0.9081925829065418 [1,0.894737,1,0.869565,0.952381,1,0.695652,0.947368,1,0.722222] precision 0.8027447105324343 [1,0.7,1,0.85,0.941176,0.863636,0.411765,0.826087,1,0.434783] precision 0.8547554492291334 [1,0.894737,0.95,0.894737,0.888889,0.909091,0.545455,0.909091,1,0.555556] precision 0.8474747681126399 [1,0.842105,1,0.863636,0.888889,0.904762,0.590909,0.869565,0.952381,0.5625] precision 0.8754112554112554 [1,0.944444,0.952381,0.952381,0.888889,1,0.6,0.863636,0.952381,0.6] precision 0.8585607959292169 [1,0.888889,1,0.952381,0.947368,1,0.454545,0.909091,1,0.433333] precision 0.7913861927546137 [1,0.714286,0.863636,1,0.933333,0.904762,0.36,0.857143,0.947368,0.333333] predictive_accuracy 0.855 predictive_accuracy 0.825 predictive_accuracy 0.85 predictive_accuracy 0.905 predictive_accuracy 0.8 predictive_accuracy 0.855 predictive_accuracy 0.85 predictive_accuracy 0.875 predictive_accuracy 0.855 predictive_accuracy 0.78 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 0.855 [0.95,0.9,1,0.9,0.9,0.95,0.55,0.8,1,0.6] recall 0.825 [1,0.8,0.95,0.9,0.8,0.9,0.45,0.95,0.95,0.55] recall 0.85 [1,0.9,1,0.85,0.95,0.95,0.55,0.85,1,0.45] recall 0.905 [1,0.85,0.95,1,1,0.95,0.8,0.9,0.95,0.65] recall 0.8 [1,0.7,0.9,0.85,0.8,0.95,0.35,0.95,1,0.5] recall 0.855 [1,0.85,0.95,0.85,0.8,1,0.6,1,1,0.5] recall 0.85 [1,0.8,0.9,0.95,0.8,0.95,0.65,1,1,0.45] recall 0.875 [1,0.85,1,1,0.8,0.95,0.6,0.95,1,0.6] recall 0.855 [1,0.8,1,1,0.9,0.95,0.25,1,1,0.65] recall 0.78 [1,0.75,0.95,0.9,0.7,0.95,0.45,0.9,0.9,0.3] relative_absolute_error 0.16111111111111134 relative_absolute_error 0.19444444444444475 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.10555555555555571 relative_absolute_error 0.22222222222222257 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.1388888888888891 relative_absolute_error 0.16111111111111134 relative_absolute_error 0.24444444444444474 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 0.17029386365926405 root_mean_squared_error 0.1870828693386971 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.13784048752090225 root_mean_squared_error 0.20000000000000004 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.158113883008419 root_mean_squared_error 0.17029386365926405 root_mean_squared_error 0.20976176963403032 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.6236095644623241 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.4594682917363411 root_relative_squared_error 0.6666666666666672 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.5270462766947304 root_relative_squared_error 0.5676462121975472 root_relative_squared_error 0.6992058987801015 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 3284.6854300000814 usercpu_time_millis 3181.747868000002 usercpu_time_millis 2987.2560169997087 usercpu_time_millis 2503.4062080003423 usercpu_time_millis 2508.9241259997834 usercpu_time_millis 2496.305085000131 usercpu_time_millis 2466.2408289996165 usercpu_time_millis 2751.5889229994173 usercpu_time_millis 2640.6189899998935 usercpu_time_millis 2629.6802879996903 usercpu_time_millis_testing 40.50254399999176 usercpu_time_millis_testing 39.968629000213696 usercpu_time_millis_testing 34.75197699981436 usercpu_time_millis_testing 33.81897000008394 usercpu_time_millis_testing 33.995347999734804 usercpu_time_millis_testing 33.88334200008103 usercpu_time_millis_testing 35.06958899970414 usercpu_time_millis_testing 33.661493999716185 usercpu_time_millis_testing 33.9006649996918 usercpu_time_millis_testing 33.692438999878505 usercpu_time_millis_training 3244.1828860000896 usercpu_time_millis_training 3141.7792389997885 usercpu_time_millis_training 2952.5040399998943 usercpu_time_millis_training 2469.5872380002584 usercpu_time_millis_training 2474.9287780000486 usercpu_time_millis_training 2462.42174300005 usercpu_time_millis_training 2431.1712399999124 usercpu_time_millis_training 2717.927428999701 usercpu_time_millis_training 2606.7183250002017 usercpu_time_millis_training 2595.987848999812