8982053 1935 Hilde Weerts 3481 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) 6917634 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 16772.032993559045 7650 cache_size 200 7650 class_weight null 7650 coef0 0.9516884976442906 7650 decision_function_shape "ovr" 7650 degree 3 7650 gamma 4.378367211142081 7650 kernel "rbf" 7650 max_iter -1 7650 probability false 7650 random_state 1 7650 shrinking true 7650 tol 0.06408464613826267 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_98 300 isolet https://www.openml.org/data/download/52405/phpB0xrNj -1 18879139 description https://api.openml.org/data/download/18879139/description.xml -1 18879140 predictions https://api.openml.org/data/download/18879140/predictions.arff area_under_roc_curve 0.5274109643857543 [0.53,0.5166,0.556667,0.563333,0.52,0.5,0.53,0.513333,0.515,0.59,0.573333,0.52,0.501672,0.52,0.51,0.529867,0.52,0.533333,0.553133,0.568267,0.5,0.506667,0.5,0.513333,0.5,0.527878] average_cost 0 kappa 0.054821944941082834 kb_relative_information_score 625.6199366419892 mean_absolute_error 0.06990854470655054 mean_prior_absolute_error 0.07396449117237175 number_of_instances 7797 [300,300,300,300,300,298,300,300,300,300,300,300,299,300,300,300,300,300,300,300,300,300,300,300,300,300] predictive_accuracy 0.09118891881492881 prior_entropy 4.700438289429255 recall 0.09118891881492881 [0.06,0.033333,0.113333,0.126667,0.04,0,0.06,0.026667,0.03,0.18,0.146667,0.04,0.003344,0.04,0.02,0.06,0.04,0.066667,0.106667,0.136667,0,0.013333,0,0.026667,0,1] relative_absolute_error 0.9451635994308545 root_mean_prior_squared_error 0.19230768465256318 root_mean_squared_error 0.2644022403584178 root_relative_squared_error 1.3748917045936349 total_cost 0 area_under_roc_curve 0.5253333333333333 [0.516667,0.5,0.533333,0.55,0.516667,0.5,0.533333,0.533333,0.516667,0.533333,0.533333,0.55,0.5,0.5,0.5,0.566,0.55,0.566667,0.583333,0.55,0.5,0.5,0.5,0.5,0.5,0.526] area_under_roc_curve 0.5279999999999999 [0.533333,0.516667,0.533333,0.6,0.516667,0.5,0.55,0.5,0.516667,0.616667,0.55,0.533333,0.5,0.516667,0.5,0.55,0.5,0.5,0.583333,0.583333,0.5,0.5,0.5,0.5,0.5,0.528] area_under_roc_curve 0.5266666666666667 [0.516667,0.55,0.55,0.533333,0.5,0.5,0.566667,0.516667,0.516667,0.566667,0.616667,0.533333,0.5,0.5,0.5,0.533333,0.516667,0.533333,0.516667,0.566667,0.5,0.516667,0.5,0.516667,0.5,0.526667] area_under_roc_curve 0.524 [0.566667,0.516667,0.55,0.6,0.533333,0.5,0.533333,0.516667,0.516667,0.566667,0.516667,0.5,0.5,0.533333,0.5,0.516667,0.5,0.55,0.55,0.516667,0.5,0.5,0.5,0.516667,0.5,0.524] area_under_roc_curve 0.534 [0.533333,0.516667,0.55,0.6,0.533333,0.5,0.516667,0.516667,0.55,0.633333,0.633333,0.5,0.5,0.516667,0.5,0.533333,0.55,0.566667,0.533333,0.566667,0.5,0.5,0.5,0.5,0.5,0.534] area_under_roc_curve 0.5333333333333334 [0.5,0.516667,0.55,0.516667,0.533333,0.5,0.55,0.5,0.5,0.65,0.65,0.516667,0.5,0.55,0.533333,0.516,0.516667,0.55,0.566,0.6,0.5,0.5,0.5,0.516667,0.5,0.534667] area_under_roc_curve 0.5246666666666667 [0.533333,0.516667,0.566667,0.55,0.516667,0.5,0.516667,0.516667,0.516667,0.6,0.55,0.516667,0.5,0.516667,0.516667,0.5,0.5,0.5,0.55,0.633333,0.5,0.5,0.5,0.5,0.5,0.524667] area_under_roc_curve 0.5220293724966623 [0.516667,0.533333,0.566667,0.533333,0.516667,0.5,0.516667,0.516667,0.5,0.55,0.55,0.5,0.517241,0.533333,0.516667,0.533333,0.516667,0.533333,0.533333,0.5,0.5,0.516667,0.5,0.55,0.5,0.522029] area_under_roc_curve 0.5287049399198932 [0.533333,0.499332,0.6,0.583333,0.533333,0.5,0.5,0.516667,0.516667,0.583333,0.6,0.533333,0.5,0.516667,0.516667,0.516667,0.533333,0.5,0.549332,0.55,0.5,0.516667,0.5,0.516667,0.5,0.53004] area_under_roc_curve 0.5273698264352469 [0.55,0.5,0.566667,0.566667,0.5,0.5,0.516667,0.5,0.5,0.6,0.533333,0.516667,0.5,0.516667,0.516667,0.533333,0.516667,0.533333,0.565999,0.615999,0.5,0.516667,0.5,0.516667,0.5,0.528705] 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 0.05066666666666666 kappa 0.056 kappa 0.05333333333333333 kappa 0.048 kappa 0.068 kappa 0.06666666666666667 kappa 0.04933333333333333 kappa 0.04406038336029835 kappa 0.05740987983978637 kappa 0.054739652870493996 kb_relative_information_score 59.42133491293773 kb_relative_information_score 63.46903594724826 kb_relative_information_score 61.44518543009283 kb_relative_information_score 57.397484395782485 kb_relative_information_score 72.57636327444689 kb_relative_information_score 71.56443801586926 kb_relative_information_score 58.40940965436013 kb_relative_information_score 54.37469104277707 kb_relative_information_score 64.49292224278548 kb_relative_information_score 62.46907172563024 mean_absolute_error 0.07021696252465595 mean_absolute_error 0.06982248520710169 mean_absolute_error 0.07001972386587882 mean_absolute_error 0.07041420118343308 mean_absolute_error 0.06893491124260462 mean_absolute_error 0.06903353057199317 mean_absolute_error 0.07031558185404452 mean_absolute_error 0.07070208353905515 mean_absolute_error 0.06971462427174989 mean_absolute_error 0.06991211612521094 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396449704142057 mean_prior_absolute_error 0.07396448587535052 mean_prior_absolute_error 0.07396447325283656 mean_prior_absolute_error 0.07396447325283656 number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 780 [30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,30,30,30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] number_of_instances 779 [30,30,30,30,30,29,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30,30] predictive_accuracy 0.08717948717948718 predictive_accuracy 0.0923076923076923 predictive_accuracy 0.08974358974358974 predictive_accuracy 0.08461538461538462 predictive_accuracy 0.10384615384615385 predictive_accuracy 0.10256410256410257 predictive_accuracy 0.0858974358974359 predictive_accuracy 0.08087291399229782 predictive_accuracy 0.09370988446726573 predictive_accuracy 0.09114249037227214 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 prior_entropy 4.700438289429255 recall 0.08717948717948718 [0.033333,0,0.066667,0.1,0.033333,0,0.066667,0.066667,0.033333,0.066667,0.066667,0.1,0,0,0,0.133333,0.1,0.133333,0.166667,0.1,0,0,0,0,0,1] recall 0.09230769230769231 [0.066667,0.033333,0.066667,0.2,0.033333,0,0.1,0,0.033333,0.233333,0.1,0.066667,0,0.033333,0,0.1,0,0,0.166667,0.166667,0,0,0,0,0,1] recall 0.08974358974358974 [0.033333,0.1,0.1,0.066667,0,0,0.133333,0.033333,0.033333,0.133333,0.233333,0.066667,0,0,0,0.066667,0.033333,0.066667,0.033333,0.133333,0,0.033333,0,0.033333,0,1] recall 0.08461538461538462 [0.133333,0.033333,0.1,0.2,0.066667,0,0.066667,0.033333,0.033333,0.133333,0.033333,0,0,0.066667,0,0.033333,0,0.1,0.1,0.033333,0,0,0,0.033333,0,1] recall 0.10384615384615385 [0.066667,0.033333,0.1,0.2,0.066667,0,0.033333,0.033333,0.1,0.266667,0.266667,0,0,0.033333,0,0.066667,0.1,0.133333,0.066667,0.133333,0,0,0,0,0,1] recall 0.10256410256410256 [0,0.033333,0.1,0.033333,0.066667,0,0.1,0,0,0.3,0.3,0.033333,0,0.1,0.066667,0.033333,0.033333,0.1,0.133333,0.2,0,0,0,0.033333,0,1] recall 0.0858974358974359 [0.066667,0.033333,0.133333,0.1,0.033333,0,0.033333,0.033333,0.033333,0.2,0.1,0.033333,0,0.033333,0.033333,0,0,0,0.1,0.266667,0,0,0,0,0,1] recall 0.08087291399229782 [0.033333,0.066667,0.133333,0.066667,0.033333,0,0.033333,0.033333,0,0.1,0.1,0,0.034483,0.066667,0.033333,0.066667,0.033333,0.066667,0.066667,0,0,0.033333,0,0.1,0,1] recall 0.09370988446726572 [0.066667,0,0.2,0.166667,0.066667,0,0,0.033333,0.033333,0.166667,0.2,0.066667,0,0.033333,0.033333,0.033333,0.066667,0,0.1,0.1,0,0.033333,0,0.033333,0,1] recall 0.09114249037227215 [0.1,0,0.133333,0.133333,0,0,0.033333,0,0,0.2,0.066667,0.033333,0,0.033333,0.033333,0.066667,0.033333,0.066667,0.133333,0.233333,0,0.033333,0,0.033333,0,1] relative_absolute_error 0.9493333333333428 relative_absolute_error 0.9440000000000092 relative_absolute_error 0.946666666666676 relative_absolute_error 0.9520000000000095 relative_absolute_error 0.9320000000000087 relative_absolute_error 0.9333333333333421 relative_absolute_error 0.950666666666676 relative_absolute_error 0.9558923137545581 relative_absolute_error 0.9425420232959789 relative_absolute_error 0.9452121140135312 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230769991209876 root_mean_prior_squared_error 0.19230767088031558 root_mean_prior_squared_error 0.19230763806177284 root_mean_prior_squared_error 0.19230763806177284 root_mean_squared_error 0.2649848345182342 root_mean_squared_error 0.2642394467279662 root_mean_squared_error 0.2646124030839802 root_mean_squared_error 0.26535674324093045 root_mean_squared_error 0.2625545871673253 root_mean_squared_error 0.2627423273322994 root_mean_squared_error 0.26517085408099533 root_mean_squared_error 0.2658986339548497 root_mean_squared_error 0.2640352708858229 root_mean_squared_error 0.264408994032372 root_relative_squared_error 1.3779210850078032 root_relative_squared_error 1.374045068651679 root_relative_squared_error 1.3759844416262632 root_relative_squared_error 1.379855010289351 root_relative_squared_error 1.3652837992827926 root_relative_squared_error 1.366260048102054 root_relative_squared_error 1.3788883866959114 root_relative_squared_error 1.3826730506259113 root_relative_squared_error 1.3729837958958748 root_relative_squared_error 1.374927156806111 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 142296.13511100068 usercpu_time_millis 130775.38679399913 usercpu_time_millis 142485.96354900108 usercpu_time_millis 130827.90231900071 usercpu_time_millis 142470.82478800075 usercpu_time_millis 142533.31074500058 usercpu_time_millis 142653.03230100108 usercpu_time_millis 130752.00151799982 usercpu_time_millis 130622.47430500065 usercpu_time_millis 141512.93062899823 usercpu_time_millis_testing 4382.3672180005815 usercpu_time_millis_testing 4391.5015639995545 usercpu_time_millis_testing 4456.854003001354 usercpu_time_millis_testing 4390.703265000411 usercpu_time_millis_testing 4529.568126999948 usercpu_time_millis_testing 4341.208879999613 usercpu_time_millis_testing 4472.562937000475 usercpu_time_millis_testing 4560.923555000045 usercpu_time_millis_testing 4510.072942999614 usercpu_time_millis_testing 4446.346038999764 usercpu_time_millis_training 137913.7678930001 usercpu_time_millis_training 126383.88522999958 usercpu_time_millis_training 138029.10954599973 usercpu_time_millis_training 126437.1990540003 usercpu_time_millis_training 137941.2566610008 usercpu_time_millis_training 138192.10186500096 usercpu_time_millis_training 138180.4693640006 usercpu_time_millis_training 126191.07796299977 usercpu_time_millis_training 126112.40136200104 usercpu_time_millis_training 137066.58458999847