8906324 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) 6843806 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 2.980023051134011 7650 cache_size 200 7650 class_weight null 7650 coef0 0.32876617451470913 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 0.0018449419531555468 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking true 7650 tol 0.00020656878641656397 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 18728384 description https://api.openml.org/data/download/18728384/description.xml -1 18728385 predictions https://api.openml.org/data/download/18728385/predictions.arff area_under_roc_curve 0.9033333333333333 [0.995,0.871389,0.975,0.9225,0.885556,0.966389,0.717222,0.965278,0.986389,0.748611] average_cost 0 f_measure 0.8253840491339374 [0.994975,0.750605,0.955,0.879177,0.82199,0.937656,0.507937,0.894118,0.977444,0.53494] kappa 0.8066666666666666 kb_relative_information_score 1636.0763932848372 mean_absolute_error 0.03480000000000023 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.8265371035396228 [1,0.7277,0.955,0.904762,0.862637,0.935323,0.539326,0.844444,0.979899,0.516279] predictive_accuracy 0.826 prior_entropy 3.321928094887362 recall 0.826 [0.99,0.775,0.955,0.855,0.785,0.94,0.48,0.95,0.975,0.555] relative_absolute_error 0.19333333333332864 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.1865475810617769 root_relative_squared_error 0.6218252702059135 total_cost 0 area_under_roc_curve 0.8944444444444444 [0.975,0.916667,0.972222,0.9,0.919444,1,0.625,0.919444,0.997222,0.719444] area_under_roc_curve 0.9055555555555557 [1,0.888889,0.972222,0.919444,0.866667,0.944444,0.686111,0.961111,0.975,0.841667] area_under_roc_curve 0.9083333333333334 [1,0.880556,1,0.891667,0.936111,0.947222,0.752778,0.919444,1,0.755556] area_under_roc_curve 0.922222222222222 [0.975,0.861111,0.975,0.969444,0.938889,0.944444,0.813889,0.919444,0.972222,0.852778] area_under_roc_curve 0.8944444444444446 [1,0.813889,0.975,0.916667,0.891667,0.969444,0.677778,0.983333,1,0.716667] area_under_roc_curve 0.9083333333333333 [1,0.888889,0.994444,0.894444,0.872222,0.997222,0.766667,0.994444,1,0.675] area_under_roc_curve 0.9 [1,0.863889,0.95,0.941667,0.869444,0.966667,0.75,0.983333,1,0.675] area_under_roc_curve 0.9166666666666667 [1,0.883333,0.972222,0.944444,0.872222,0.947222,0.825,0.991667,0.972222,0.758333] area_under_roc_curve 0.9055555555555556 [1,0.841667,0.997222,0.972222,0.838889,0.972222,0.633333,0.988889,1,0.811111] area_under_roc_curve 0.8777777777777779 [1,0.875,0.941667,0.875,0.85,0.975,0.641667,0.991667,0.947222,0.680556] 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 0.8083109383841091 [0.974359,0.72,0.95,0.888889,0.871795,1,0.342857,0.871795,0.97561,0.487805] f_measure 0.8272410251189645 [1,0.8,0.95,0.871795,0.789474,0.9,0.484848,0.863636,0.974359,0.638298] f_measure 0.8339829896745441 [1,0.744186,1,0.820513,0.837209,0.923077,0.564103,0.871795,1,0.578947] f_measure 0.8604862067255715 [0.974359,0.75,0.974359,0.926829,0.857143,0.9,0.702703,0.871795,0.95,0.697674] f_measure 0.8064603903893405 [1,0.702703,0.974359,0.85,0.820513,0.926829,0.444444,0.869565,1,0.47619] f_measure 0.8333697235237671 [1,0.8,0.952381,0.842105,0.833333,0.97561,0.545455,0.952381,1,0.432432] f_measure 0.8162218336167658 [1,0.769231,0.947368,0.878049,0.810811,0.904762,0.55,0.869565,1,0.432432] f_measure 0.8494304961746824 [1,0.761905,0.95,0.9,0.833333,0.923077,0.651163,0.930233,0.95,0.594595] f_measure 0.8236632860541717 [1,0.756757,0.97561,0.95,0.736842,0.95,0.375,0.909091,1,0.583333] f_measure 0.785647497505627 [1,0.711111,0.878049,0.857143,0.823529,0.974359,0.358974,0.930233,0.923077,0.4] kappa 0.788888888888889 kappa 0.8111111111111111 kappa 0.8166666666666667 kappa 0.8444444444444444 kappa 0.788888888888889 kappa 0.8166666666666667 kappa 0.7999999999999999 kappa 0.8333333333333333 kappa 0.8111111111111111 kappa 0.7555555555555555 kb_relative_information_score 160.26121535869456 kb_relative_information_score 164.4442453209372 kb_relative_information_score 165.49000281149785 kb_relative_information_score 170.71879026430113 kb_relative_information_score 160.26121535869456 kb_relative_information_score 165.49000281149785 kb_relative_information_score 162.35273033981585 kb_relative_information_score 168.6272752831798 kb_relative_information_score 164.4442453209372 kb_relative_information_score 153.98667041533062 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.034000000000000016 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.02800000000000001 mean_absolute_error 0.03800000000000002 mean_absolute_error 0.033000000000000015 mean_absolute_error 0.03600000000000002 mean_absolute_error 0.030000000000000013 mean_absolute_error 0.034000000000000016 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 0.8168045112781954 [1,0.6,0.95,1,0.894737,1,0.4,0.894737,0.952381,0.47619] precision 0.8340677013045434 [1,0.8,0.95,0.894737,0.833333,0.9,0.615385,0.791667,1,0.555556] precision 0.8352529875413172 [1,0.695652,1,0.842105,0.782609,0.947368,0.578947,0.894737,1,0.611111] precision 0.8634560360445406 [1,0.75,1,0.904762,0.818182,0.9,0.764706,0.894737,0.95,0.652174] precision 0.8085349274048964 [1,0.764706,1,0.85,0.842105,0.904762,0.5,0.769231,1,0.454545] precision 0.8367539894745777 [1,0.8,0.909091,0.888889,0.9375,0.952381,0.5,0.909091,1,0.470588] precision 0.8182424850691105 [1,0.789474,1,0.857143,0.882353,0.863636,0.55,0.769231,1,0.470588] precision 0.8537460841419988 [1,0.727273,0.95,0.9,0.9375,0.947368,0.608696,0.869565,0.95,0.647059] precision 0.828702147525677 [1,0.823529,0.952381,0.95,0.777778,0.95,0.5,0.833333,1,0.5] precision 0.8042497548218371 [1,0.64,0.857143,1,1,1,0.368421,0.869565,0.947368,0.36] predictive_accuracy 0.81 predictive_accuracy 0.83 predictive_accuracy 0.835 predictive_accuracy 0.86 predictive_accuracy 0.81 predictive_accuracy 0.835 predictive_accuracy 0.82 predictive_accuracy 0.85 predictive_accuracy 0.83 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 0.81 [0.95,0.9,0.95,0.8,0.85,1,0.3,0.85,1,0.5] recall 0.83 [1,0.8,0.95,0.85,0.75,0.9,0.4,0.95,0.95,0.75] recall 0.835 [1,0.8,1,0.8,0.9,0.9,0.55,0.85,1,0.55] recall 0.86 [0.95,0.75,0.95,0.95,0.9,0.9,0.65,0.85,0.95,0.75] recall 0.81 [1,0.65,0.95,0.85,0.8,0.95,0.4,1,1,0.5] recall 0.835 [1,0.8,1,0.8,0.75,1,0.6,1,1,0.4] recall 0.82 [1,0.75,0.9,0.9,0.75,0.95,0.55,1,1,0.4] recall 0.85 [1,0.8,0.95,0.9,0.75,0.9,0.7,1,0.95,0.55] recall 0.83 [1,0.7,1,0.95,0.7,0.95,0.3,1,1,0.7] recall 0.78 [1,0.8,0.9,0.75,0.7,0.95,0.35,1,0.9,0.45] relative_absolute_error 0.21111111111111147 relative_absolute_error 0.1888888888888892 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.15555555555555578 relative_absolute_error 0.21111111111111147 relative_absolute_error 0.18333333333333365 relative_absolute_error 0.20000000000000032 relative_absolute_error 0.16666666666666693 relative_absolute_error 0.1888888888888892 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 0.19493588689617933 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.16733200530681513 root_mean_squared_error 0.19493588689617933 root_mean_squared_error 0.18165902124584954 root_mean_squared_error 0.1897366596101028 root_mean_squared_error 0.17320508075688776 root_mean_squared_error 0.1843908891458578 root_mean_squared_error 0.20976176963403032 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.6146362971528597 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.5577733510227175 root_relative_squared_error 0.6497862896539316 root_relative_squared_error 0.6055300708194988 root_relative_squared_error 0.6324555320336763 root_relative_squared_error 0.5773502691896262 root_relative_squared_error 0.6146362971528597 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 2865.471725000134 usercpu_time_millis 2925.912446999064 usercpu_time_millis 2436.53825399997 usercpu_time_millis 2411.328164999759 usercpu_time_millis 2632.05489900065 usercpu_time_millis 3205.077956000423 usercpu_time_millis 3213.732044000608 usercpu_time_millis 3096.2164159991516 usercpu_time_millis 2998.316498999884 usercpu_time_millis 3106.543873999726 usercpu_time_millis_testing 31.146734000685683 usercpu_time_millis_testing 29.45920899946941 usercpu_time_millis_testing 28.95522600010736 usercpu_time_millis_testing 29.074795999804337 usercpu_time_millis_testing 35.42600400032825 usercpu_time_millis_testing 34.37725599997066 usercpu_time_millis_testing 36.024437000378384 usercpu_time_millis_testing 34.9222019995068 usercpu_time_millis_testing 34.57471599995188 usercpu_time_millis_testing 36.38663399942743 usercpu_time_millis_training 2834.3249909994483 usercpu_time_millis_training 2896.4532379995944 usercpu_time_millis_training 2407.5830279998627 usercpu_time_millis_training 2382.2533689999545 usercpu_time_millis_training 2596.628895000322 usercpu_time_millis_training 3170.7007000004523 usercpu_time_millis_training 3177.7076070002295 usercpu_time_millis_training 3061.294213999645 usercpu_time_millis_training 2963.741782999932 usercpu_time_millis_training 3070.1572400002988