10559223 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) 8276057 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 1746.5757079326518 17495 cache_size 200 17495 class_weight null 17495 coef0 -0.9226436257392612 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 1.5109324049570479e-05 17495 kernel "rbf" 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 22043411 description https://api.openml.org/data/download/22043411/description.xml -1 22043412 predictions https://api.openml.org/data/download/22043412/predictions.arff area_under_roc_curve 0.786195238095238 [0.786195,0.786195] average_cost 0 f_measure 0.7293653360936793 [0.832891,0.487805] kappa 0.3312101910828026 kb_relative_information_score 0.21673507412174245 mean_absolute_error 0.32828530317047444 mean_prior_absolute_error 0.42015968063872167 weighted_recall 0.748 [0.897143,0.4] number_of_instances 1000 [700,300] precision 0.7315594059405941 [0.777228,0.625] predictive_accuracy 0.748 prior_entropy 0.8812914463598482 relative_absolute_error 0.7813346170470692 root_mean_prior_squared_error 0.45825774337365466 root_mean_squared_error 0.40420860335478387 root_relative_squared_error 0.8820551517122971 total_cost 0 unweighted_recall 0.6485714285714286 [0.897143,0.4] area_under_roc_curve 0.8261904761904763 [0.82619,0.82619] area_under_roc_curve 0.7504761904761905 [0.750476,0.750476] area_under_roc_curve 0.7361904761904762 [0.73619,0.73619] area_under_roc_curve 0.7795238095238095 [0.779524,0.779524] area_under_roc_curve 0.7716666666666666 [0.771667,0.771667] area_under_roc_curve 0.803809523809524 [0.80381,0.80381] area_under_roc_curve 0.7938095238095237 [0.79381,0.79381] area_under_roc_curve 0.84 [0.84,0.84] area_under_roc_curve 0.7966666666666665 [0.796667,0.796667] area_under_roc_curve 0.7838095238095238 [0.78381,0.78381] 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 0.7751984126984126 [0.847222,0.607143] f_measure 0.6990958408679927 [0.835443,0.380952] f_measure 0.7013333333333334 [0.813333,0.44] f_measure 0.8160714285714286 [0.875,0.678571] f_measure 0.6664954723611299 [0.794702,0.367347] f_measure 0.7177631578947369 [0.828947,0.458333] f_measure 0.7018181818181817 [0.8,0.472727] f_measure 0.7369871130202934 [0.853503,0.465116] f_measure 0.7204301075268817 [0.83871,0.444444] f_measure 0.7394736842105263 [0.842105,0.5] kappa 0.4554455445544556 kappa 0.2528735632183907 kappa 0.26315789473684204 kappa 0.5544554455445544 kappa 0.17553191489361689 kappa 0.30107526881720426 kappa 0.27499999999999997 kappa 0.3465909090909091 kappa 0.3055555555555555 kappa 0.3548387096774194 kb_relative_information_score 0.2415197582628742 kb_relative_information_score 0.19630112507541222 kb_relative_information_score 0.1416275225296469 kb_relative_information_score 0.20800079386958775 kb_relative_information_score 0.18041942646448203 kb_relative_information_score 0.23677550497712224 kb_relative_information_score 0.2283381725810954 kb_relative_information_score 0.2795139376349859 kb_relative_information_score 0.23117532490347797 kb_relative_information_score 0.22367917491870276 mean_absolute_error 0.3234748360814424 mean_absolute_error 0.3301153472587106 mean_absolute_error 0.3506870347242832 mean_absolute_error 0.3336339280725046 mean_absolute_error 0.34036855172851255 mean_absolute_error 0.3210971650109768 mean_absolute_error 0.3175862435149511 mean_absolute_error 0.3140219074587336 mean_absolute_error 0.32403520528527735 mean_absolute_error 0.32783281256935193 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 0.7731808731808733 [0.824324,0.653846] precision 0.725 [0.75,0.666667] precision 0.69875 [0.7625,0.55] precision 0.8151767151767152 [0.851351,0.730769] precision 0.6606237816764132 [0.740741,0.473684] precision 0.7211382113821139 [0.768293,0.611111] precision 0.6973333333333334 [0.773333,0.52] precision 0.7698496905393456 [0.770115,0.769231] precision 0.7352941176470589 [0.764706,0.666667] precision 0.746341463414634 [0.780488,0.666667] predictive_accuracy 0.78 predictive_accuracy 0.74 predictive_accuracy 0.72 predictive_accuracy 0.82 predictive_accuracy 0.69 predictive_accuracy 0.74 predictive_accuracy 0.71 predictive_accuracy 0.77 predictive_accuracy 0.75 predictive_accuracy 0.76 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 0.7698854768494175 relative_absolute_error 0.7856902089150296 relative_absolute_error 0.8346518023604067 relative_absolute_error 0.7940645984053422 relative_absolute_error 0.8100933226412566 relative_absolute_error 0.7642265067482144 relative_absolute_error 0.7558703467980534 relative_absolute_error 0.7473870576571272 relative_absolute_error 0.7712191821754095 relative_absolute_error 0.780257667920404 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 0.39005300763559164 root_mean_squared_error 0.42271351419128605 root_mean_squared_error 0.42695518356391793 root_mean_squared_error 0.3961484768125178 root_mean_squared_error 0.420016007423123 root_mean_squared_error 0.4012681415824156 root_mean_squared_error 0.3987116084738577 root_mean_squared_error 0.379527375768105 root_mean_squared_error 0.40091401227393264 root_mean_squared_error 0.403261643470181 root_relative_squared_error 0.851165121104237 root_relative_squared_error 0.9224361624078722 root_relative_squared_error 0.9316922403115538 root_relative_squared_error 0.86446652029512 root_relative_squared_error 0.9165497222829236 root_relative_squared_error 0.8756385405041125 root_relative_squared_error 0.8700597300082181 root_relative_squared_error 0.8281963180241237 root_relative_squared_error 0.8748657672916493 root_relative_squared_error 0.8799887166148082 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 0.719047619047619 [0.871429,0.566667] unweighted_recall 0.6047619047619047 [0.942857,0.266667] unweighted_recall 0.6190476190476191 [0.871429,0.366667] unweighted_recall 0.7666666666666666 [0.9,0.633333] unweighted_recall 0.5785714285714285 [0.857143,0.3] unweighted_recall 0.6333333333333333 [0.9,0.366667] unweighted_recall 0.6309523809523809 [0.828571,0.433333] unweighted_recall 0.6452380952380953 [0.957143,0.333333] unweighted_recall 0.6309523809523809 [0.928571,0.333333] unweighted_recall 0.6571428571428571 [0.914286,0.4] usercpu_time_millis 392.2419999999818 usercpu_time_millis 388.6299999999778 usercpu_time_millis 390.6799999999748 usercpu_time_millis 396.06000000000563 usercpu_time_millis 396.9780000000185 usercpu_time_millis 403.8140000000112 usercpu_time_millis 403.2499999999857 usercpu_time_millis 398.9259999999888 usercpu_time_millis 394.50800000000186 usercpu_time_millis 394.76199999998585 usercpu_time_millis_testing 9.991999999982681 usercpu_time_millis_testing 10.347999999993363 usercpu_time_millis_testing 10.025999999982105 usercpu_time_millis_testing 10.512000000005628 usercpu_time_millis_testing 10.041999999998552 usercpu_time_millis_testing 10.128000000008797 usercpu_time_millis_testing 10.19199999998932 usercpu_time_millis_testing 9.999999999990905 usercpu_time_millis_testing 10.738000000003467 usercpu_time_millis_testing 9.792000000004464 usercpu_time_millis_training 382.2499999999991 usercpu_time_millis_training 378.28199999998446 usercpu_time_millis_training 380.6539999999927 usercpu_time_millis_training 385.548 usercpu_time_millis_training 386.93600000001993 usercpu_time_millis_training 393.6860000000024 usercpu_time_millis_training 393.05799999999635 usercpu_time_millis_training 388.9259999999979 usercpu_time_millis_training 383.7699999999984 usercpu_time_millis_training 384.9699999999814 wall_clock_time_millis 197.50690460205078 wall_clock_time_millis 195.6629753112793 wall_clock_time_millis 197.19505310058594 wall_clock_time_millis 200.20699501037598 wall_clock_time_millis 204.4239044189453 wall_clock_time_millis 204.11443710327148 wall_clock_time_millis 208.72902870178223 wall_clock_time_millis 201.38907432556152 wall_clock_time_millis 199.2340087890625 wall_clock_time_millis 198.96483421325684 wall_clock_time_millis_testing 5.0029754638671875 wall_clock_time_millis_testing 5.193948745727539 wall_clock_time_millis_testing 5.050897598266602 wall_clock_time_millis_testing 5.320072174072266 wall_clock_time_millis_testing 5.055904388427734 wall_clock_time_millis_testing 5.164623260498047 wall_clock_time_millis_testing 5.135059356689453 wall_clock_time_millis_testing 5.075216293334961 wall_clock_time_millis_testing 5.486965179443359 wall_clock_time_millis_testing 4.899024963378906 wall_clock_time_millis_training 192.5039291381836 wall_clock_time_millis_training 190.46902656555176 wall_clock_time_millis_training 192.14415550231934 wall_clock_time_millis_training 194.8869228363037 wall_clock_time_millis_training 199.36800003051758 wall_clock_time_millis_training 198.94981384277344 wall_clock_time_millis_training 203.59396934509277 wall_clock_time_millis_training 196.31385803222656 wall_clock_time_millis_training 193.74704360961914 wall_clock_time_millis_training 194.06580924987793 weighted_recall 0.78 [0.871429,0.566667] weighted_recall 0.74 [0.942857,0.266667] weighted_recall 0.72 [0.871429,0.366667] weighted_recall 0.82 [0.9,0.633333] weighted_recall 0.69 [0.857143,0.3] weighted_recall 0.74 [0.9,0.366667] weighted_recall 0.71 [0.828571,0.433333] weighted_recall 0.77 [0.957143,0.333333] weighted_recall 0.75 [0.928571,0.333333] weighted_recall 0.76 [0.914286,0.4]