10559212 8323 Heinrich Peters 31 Supervised Classification 18298 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,columntransformer=sklearn.compose._column_transformer.ColumnTransformer(num=sklearn.pipeline.Pipeline(standardscaler=sklearn.preprocessing.data.StandardScaler),cat=sklearn.pipeline.Pipeline(onehotencoder=sklearn.preprocessing._encoders.OneHotEncoder)),svc=sklearn.svm.classes.SVC)(4) 8276046 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "most_frequent" 17407 verbose 0 17407 categorical_features null 17408 categories null 17408 drop null 17408 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 17408 handle_unknown "ignore" 17408 n_values null 17408 sparse true 17408 C 10139.809803411456 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.3001248192233066 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 0.005578662823307313 17495 kernel "poly" 17495 max_iter -1 17495 probability true 17495 random_state 1 17495 shrinking true 17495 tol 0.001 17495 verbose false 17495 memory null 18298 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "columntransformer", "step_name": "columntransformer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 18298 verbose false 18298 n_jobs null 18299 remainder "drop" 18299 sparse_threshold 0.3 18299 transformer_weights null 18299 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [false, true, false, false, true, false, false, true, false, false, true, false, true, false, false, true, false, true, false, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [true, false, true, true, false, true, true, false, true, true, false, true, false, true, true, false, true, false, true, true]}}] 18299 verbose false 18299 memory null 18300 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 18300 verbose false 18300 memory null 18301 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 18301 verbose false 18301 openml-python Sklearn_0.21.2. 31 credit-g https://www.openml.org/data/download/31/dataset_31_credit-g.arff -1 22043389 description https://api.openml.org/data/download/22043389/description.xml -1 22043390 predictions https://api.openml.org/data/download/22043390/predictions.arff area_under_roc_curve 0.6636571428571428 [0.663657,0.663657] average_cost 0 f_measure 0.6111232864974598 [0.806392,0.155496] kappa 0.04313487241798329 kb_relative_information_score 0.049660232505625714 mean_absolute_error 0.39249122147210624 mean_prior_absolute_error 0.42015968063872167 weighted_recall 0.685 [0.937143,0.096667] number_of_instances 1000 [700,300] precision 0.6145394629900549 [0.707659,0.39726] predictive_accuracy 0.685 prior_entropy 0.8812914463598482 relative_absolute_error 0.9341477527673427 root_mean_prior_squared_error 0.45825774337365466 root_mean_squared_error 0.4477321562760298 root_relative_squared_error 0.9770312946156973 total_cost 0 unweighted_recall 0.5169047619047619 [0.937143,0.096667] area_under_roc_curve 0.699047619047619 [0.699048,0.699048] area_under_roc_curve 0.5604761904761905 [0.560476,0.560476] area_under_roc_curve 0.6628571428571428 [0.662857,0.662857] area_under_roc_curve 0.7452380952380954 [0.745238,0.745238] area_under_roc_curve 0.6514285714285714 [0.651429,0.651429] area_under_roc_curve 0.659047619047619 [0.659048,0.659048] area_under_roc_curve 0.6628571428571428 [0.662857,0.662857] area_under_roc_curve 0.6533333333333334 [0.653333,0.653333] area_under_roc_curve 0.6652380952380952 [0.665238,0.665238] area_under_roc_curve 0.7076190476190476 [0.707619,0.707619] 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 0.5846653671215074 [0.790123,0.105263] f_measure 0.5715447154471545 [0.792683,0.055556] f_measure 0.5997629980743594 [0.77707,0.186047] f_measure 0.657959714100065 [0.82716,0.263158] f_measure 0.6796536796536796 [0.848485,0.285714] f_measure 0.6087880935506732 [0.819277,0.117647] f_measure 0.60909681611436 [0.802469,0.157895] f_measure 0.5771428571428571 [0.8,0.057143] f_measure 0.5907146410213895 [0.797546,0.108108] f_measure 0.6267558528428094 [0.807453,0.205128] kappa -0.0240963855421687 kappa -0.04938271604938277 kappa 0.005681818181818187 kappa 0.1566265060240962 kappa 0.2187499999999999 kappa 0.050632911392404764 kappa 0.036144578313253045 kappa -0.031250000000000035 kappa -0.006097560975609762 kappa 0.07738095238095213 kb_relative_information_score 0.049220043633954616 kb_relative_information_score -0.0046105120248576435 kb_relative_information_score 0.03126805259677668 kb_relative_information_score 0.10237593514740101 kb_relative_information_score 0.06676249484012152 kb_relative_information_score 0.030555605626603324 kb_relative_information_score 0.058803649238165105 kb_relative_information_score 0.029952879330226098 kb_relative_information_score 0.04280556736260494 kb_relative_information_score 0.08946860930525304 mean_absolute_error 0.3967317125679242 mean_absolute_error 0.40850723677987716 mean_absolute_error 0.39614354239241484 mean_absolute_error 0.38120127701791956 mean_absolute_error 0.3843944744016863 mean_absolute_error 0.39772827457861043 mean_absolute_error 0.3907401400032966 mean_absolute_error 0.39829949178787577 mean_absolute_error 0.3948430242779125 mean_absolute_error 0.3763230409135471 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 mean_prior_absolute_error 0.4201596806387232 number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] number_of_instances 100 [70,30] precision 0.5619565217391304 [0.695652,0.25] precision 0.5340425531914894 [0.691489,0.166667] precision 0.5831122900088418 [0.701149,0.307692] precision 0.6972826086956522 [0.728261,0.625] precision 0.8157894736842104 [0.736842,1] precision 0.6458333333333335 [0.708333,0.5] precision 0.6070652173913044 [0.706522,0.375] precision 0.5463157894736842 [0.694737,0.2] precision 0.5749615975422427 [0.698925,0.285714] precision 0.6333333333333333 [0.714286,0.444444] predictive_accuracy 0.66 predictive_accuracy 0.66 predictive_accuracy 0.65 predictive_accuracy 0.72 predictive_accuracy 0.75 predictive_accuracy 0.7 predictive_accuracy 0.68 predictive_accuracy 0.67 predictive_accuracy 0.67 predictive_accuracy 0.69 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 prior_entropy 0.8812914463598627 relative_absolute_error 0.9442403230238942 relative_absolute_error 0.972266630055668 relative_absolute_error 0.9428404500646059 relative_absolute_error 0.907277148626971 relative_absolute_error 0.9148771100961736 relative_absolute_error 0.9466121879519406 relative_absolute_error 0.9299800956848042 relative_absolute_error 0.9479717120462017 relative_absolute_error 0.939745155169757 relative_absolute_error 0.8956667149533816 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_prior_squared_error 0.4582577433736552 root_mean_squared_error 0.4543790590731319 root_mean_squared_error 0.46963141678098963 root_mean_squared_error 0.4506554610339415 root_mean_squared_error 0.4255643681152588 root_mean_squared_error 0.4456451868135434 root_mean_squared_error 0.44619499296386944 root_mean_squared_error 0.44583849587452623 root_mean_squared_error 0.45135861546278283 root_mean_squared_error 0.4483303766398195 root_mean_squared_error 0.43845771707728887 root_relative_squared_error 0.9915360201619973 root_relative_squared_error 1.0248193807345236 root_relative_squared_error 0.9834104661631108 root_relative_squared_error 0.9286572333339955 root_relative_squared_error 0.9724771556127798 root_relative_squared_error 0.9736769305391746 root_relative_squared_error 0.9728989904072336 root_relative_squared_error 0.9849448743406242 root_relative_squared_error 0.9783367179771993 root_relative_squared_error 0.9567928167441313 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 unweighted_recall 0.49047619047619045 [0.914286,0.066667] unweighted_recall 0.48095238095238096 [0.928571,0.033333] unweighted_recall 0.5023809523809524 [0.871429,0.133333] unweighted_recall 0.5619047619047619 [0.957143,0.166667] unweighted_recall 0.5833333333333334 [1,0.166667] unweighted_recall 0.5190476190476191 [0.971429,0.066667] unweighted_recall 0.5142857142857143 [0.928571,0.1] unweighted_recall 0.4880952380952381 [0.942857,0.033333] unweighted_recall 0.4976190476190476 [0.928571,0.066667] unweighted_recall 0.530952380952381 [0.928571,0.133333] usercpu_time_millis 228.14399999998614 usercpu_time_millis 248.13600000001657 usercpu_time_millis 247.40800000000718 usercpu_time_millis 230.80599999997276 usercpu_time_millis 207.80200000001514 usercpu_time_millis 200.8639999999957 usercpu_time_millis 203.85799999999676 usercpu_time_millis 216.5979999999763 usercpu_time_millis 233.12000000001376 usercpu_time_millis 214.7979999999734 usercpu_time_millis_testing 6.7699999999888405 usercpu_time_millis_testing 11.804000000012138 usercpu_time_millis_testing 9.912000000014132 usercpu_time_millis_testing 7.845999999972264 usercpu_time_millis_testing 6.894000000016831 usercpu_time_millis_testing 7.713999999992893 usercpu_time_millis_testing 7.102000000003272 usercpu_time_millis_testing 9.88799999998946 usercpu_time_millis_testing 7.339999999999236 usercpu_time_millis_testing 11.81199999999194 usercpu_time_millis_training 221.3739999999973 usercpu_time_millis_training 236.33200000000443 usercpu_time_millis_training 237.49599999999305 usercpu_time_millis_training 222.9600000000005 usercpu_time_millis_training 200.9079999999983 usercpu_time_millis_training 193.15000000000282 usercpu_time_millis_training 196.7559999999935 usercpu_time_millis_training 206.70999999998685 usercpu_time_millis_training 225.78000000001452 usercpu_time_millis_training 202.98599999998146 wall_clock_time_millis 117.41781234741211 wall_clock_time_millis 131.0129165649414 wall_clock_time_millis 127.7000904083252 wall_clock_time_millis 117.34390258789062 wall_clock_time_millis 106.69326782226562 wall_clock_time_millis 102.04792022705078 wall_clock_time_millis 102.74887084960938 wall_clock_time_millis 110.260009765625 wall_clock_time_millis 125.01072883605957 wall_clock_time_millis 110.97598075866699 wall_clock_time_millis_testing 3.3898353576660156 wall_clock_time_millis_testing 6.173849105834961 wall_clock_time_millis_testing 5.03993034362793 wall_clock_time_millis_testing 3.9680004119873047 wall_clock_time_millis_testing 3.515958786010742 wall_clock_time_millis_testing 3.938913345336914 wall_clock_time_millis_testing 3.579854965209961 wall_clock_time_millis_testing 5.389213562011719 wall_clock_time_millis_testing 3.6919116973876953 wall_clock_time_millis_testing 5.964040756225586 wall_clock_time_millis_training 114.0279769897461 wall_clock_time_millis_training 124.83906745910645 wall_clock_time_millis_training 122.66016006469727 wall_clock_time_millis_training 113.37590217590332 wall_clock_time_millis_training 103.17730903625488 wall_clock_time_millis_training 98.10900688171387 wall_clock_time_millis_training 99.16901588439941 wall_clock_time_millis_training 104.87079620361328 wall_clock_time_millis_training 121.31881713867188 wall_clock_time_millis_training 105.0119400024414 weighted_recall 0.66 [0.914286,0.066667] weighted_recall 0.66 [0.928571,0.033333] weighted_recall 0.65 [0.871429,0.133333] weighted_recall 0.72 [0.957143,0.166667] weighted_recall 0.75 [1,0.166667] weighted_recall 0.7 [0.971429,0.066667] weighted_recall 0.68 [0.928571,0.1] weighted_recall 0.67 [0.942857,0.033333] weighted_recall 0.67 [0.928571,0.066667] weighted_recall 0.69 [0.928571,0.133333]