8905633 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) 6843215 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 4041.09850025608 7650 cache_size 200 7650 class_weight null 7650 coef0 0.8490265900880528 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 1.216282724378653 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking false 7650 tol 0.02489466923445695 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 18727010 description https://api.openml.org/data/download/18727010/description.xml -1 18727011 predictions https://api.openml.org/data/download/18727011/predictions.arff area_under_roc_curve 0.5172222222222221 [0.5675,0.526944,0.519167,0.505278,0.503333,0.505,0.51,0.505,0.525,0.505] average_cost 0 f_measure 0.09896694844915245 [0.237885,0.103286,0.18089,0.137694,0.136054,0.019802,0.039216,0.019802,0.095238,0.019802] kappa 0.034444444444444444 kb_relative_information_score 182.4734814055484 mean_absolute_error 0.1737999999999944 mean_prior_absolute_error 0.18000000000000554 number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.7160125905957831 [1,0.846154,0.105892,0.104987,0.103093,1,1,1,1,1] predictive_accuracy 0.131 prior_entropy 3.321928094887362 recall 0.131 [0.135,0.055,0.62,0.2,0.2,0.01,0.02,0.01,0.05,0.01] relative_absolute_error 0.9655555555554948 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.4168932717135099 root_relative_squared_error 1.3896442390450119 total_cost 0 area_under_roc_curve 0.5194444444444444 [0.55,0.547222,0.522222,0.5,0.5,0.5,0.525,0.5,0.55,0.5] area_under_roc_curve 0.5138888888888888 [0.55,0.5,0.513889,0.5,0.5,0.5,0.525,0.525,0.525,0.5] area_under_roc_curve 0.5083333333333333 [0.525,0.547222,0.511111,0.5,0.5,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5194444444444444 [0.6,0.5,0.5,0.5,0.519444,0.525,0.5,0.525,0.5,0.525] area_under_roc_curve 0.525 [0.575,0.55,0.5,0.525,0.5,0.525,0.5,0.5,0.575,0.5] area_under_roc_curve 0.5138888888888888 [0.55,0.525,0.55,0.5,0.513889,0.5,0.5,0.5,0.5,0.5] area_under_roc_curve 0.5194444444444444 [0.575,0.55,0.519444,0.5,0.5,0.5,0.5,0.5,0.525,0.525] area_under_roc_curve 0.5083333333333333 [0.525,0.525,0.508333,0.5,0.5,0.5,0.525,0.5,0.5,0.5] area_under_roc_curve 0.5277777777777778 [0.625,0.525,0.55,0.527778,0.5,0.5,0.5,0.5,0.55,0.5] area_under_roc_curve 0.5166666666666667 [0.6,0.5,0.516667,0.5,0.5,0.5,0.525,0.5,0.525,0.5] 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 kappa 0.03888888888888889 kappa 0.02777777777777777 kappa 0.016666666666666666 kappa 0.03888888888888889 kappa 0.04999999999999998 kappa 0.02777777777777777 kappa 0.03888888888888889 kappa 0.016666666666666666 kappa 0.05555555555555554 kappa 0.03333333333333333 kb_relative_information_score 19.083954133003346 kb_relative_information_score 16.992439151881744 kb_relative_information_score 14.900924170760504 kb_relative_information_score 19.08395413300327 kb_relative_information_score 21.17546911412468 kb_relative_information_score 16.99243915188182 kb_relative_information_score 19.083954133003388 kb_relative_information_score 14.900924170760431 kb_relative_information_score 22.221226604685363 kb_relative_information_score 18.03819664244257 mean_absolute_error 0.17299999999999977 mean_absolute_error 0.1749999999999998 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.17299999999999977 mean_absolute_error 0.17099999999999974 mean_absolute_error 0.1749999999999998 mean_absolute_error 0.17299999999999977 mean_absolute_error 0.17699999999999982 mean_absolute_error 0.1699999999999997 mean_absolute_error 0.17399999999999977 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] predictive_accuracy 0.135 predictive_accuracy 0.125 predictive_accuracy 0.115 predictive_accuracy 0.135 predictive_accuracy 0.145 predictive_accuracy 0.125 predictive_accuracy 0.135 predictive_accuracy 0.115 predictive_accuracy 0.15 predictive_accuracy 0.13 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 0.135 [0.1,0.1,1,0,0,0,0.05,0,0.1,0] recall 0.125 [0.1,0,1,0,0,0,0.05,0.05,0.05,0] recall 0.115 [0.05,0.1,1,0,0,0,0,0,0,0] recall 0.135 [0.2,0,0,0,1,0.05,0,0.05,0,0.05] recall 0.145 [0.15,0.1,0,1,0,0.05,0,0,0.15,0] recall 0.125 [0.1,0.05,0.1,0,1,0,0,0,0,0] recall 0.135 [0.15,0.1,1,0,0,0,0,0,0.05,0.05] recall 0.115 [0.05,0.05,1,0,0,0,0.05,0,0,0] recall 0.15 [0.25,0.05,0.1,1,0,0,0,0,0.1,0] recall 0.13 [0.2,0,1,0,0,0,0.05,0,0.05,0] relative_absolute_error 0.9611111111111108 relative_absolute_error 0.9722222222222221 relative_absolute_error 0.9833333333333334 relative_absolute_error 0.9611111111111108 relative_absolute_error 0.9499999999999996 relative_absolute_error 0.9722222222222221 relative_absolute_error 0.9611111111111108 relative_absolute_error 0.9833333333333334 relative_absolute_error 0.9444444444444439 relative_absolute_error 0.9666666666666665 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 0.41593268686170815 root_mean_squared_error 0.4183300132670375 root_mean_squared_error 0.42071367935925236 root_mean_squared_error 0.41593268686170815 root_mean_squared_error 0.41352146256270633 root_mean_squared_error 0.4183300132670375 root_mean_squared_error 0.41593268686170815 root_mean_squared_error 0.42071367935925236 root_mean_squared_error 0.4123105625617657 root_mean_squared_error 0.4171330722922839 root_relative_squared_error 1.386442289539028 root_relative_squared_error 1.3944333775567928 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.386442289539028 root_relative_squared_error 1.378404875209022 root_relative_squared_error 1.3944333775567928 root_relative_squared_error 1.386442289539028 root_relative_squared_error 1.4023789311975088 root_relative_squared_error 1.374368541872553 root_relative_squared_error 1.3904435743076138 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 2611.107888999868 usercpu_time_millis 2805.4590419999386 usercpu_time_millis 3322.731008999881 usercpu_time_millis 3589.8197240003356 usercpu_time_millis 3543.5390389998247 usercpu_time_millis 3508.6145660000057 usercpu_time_millis 3498.1648520001727 usercpu_time_millis 3452.80145799984 usercpu_time_millis 3542.985020999822 usercpu_time_millis 3532.9735020000044 usercpu_time_millis_testing 44.3112029997792 usercpu_time_millis_testing 46.606081999925664 usercpu_time_millis_testing 52.105048999919745 usercpu_time_millis_testing 53.17143500019483 usercpu_time_millis_testing 59.71100299984755 usercpu_time_millis_testing 56.45108700014134 usercpu_time_millis_testing 52.63480000007803 usercpu_time_millis_testing 52.908690999856844 usercpu_time_millis_testing 53.271798999958264 usercpu_time_millis_testing 52.41520499998842 usercpu_time_millis_training 2566.796686000089 usercpu_time_millis_training 2758.852960000013 usercpu_time_millis_training 3270.625959999961 usercpu_time_millis_training 3536.6482890001407 usercpu_time_millis_training 3483.828035999977 usercpu_time_millis_training 3452.1634789998643 usercpu_time_millis_training 3445.5300520000947 usercpu_time_millis_training 3399.892766999983 usercpu_time_millis_training 3489.713221999864 usercpu_time_millis_training 3480.558297000016