10398491 8323 Heinrich Peters 14965 Supervised Classification 16374 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)(2) 8236260 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 0.6945819136497673 13389 cache_size 200 13389 class_weight null 13389 coef0 0.8068153098494797 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.05994234861688584 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 1 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 categorical_features null 16348 categories null 16348 drop null 16348 dtype {"oml-python:serialized_object": "type", "value": "np.float64"} 16348 handle_unknown "ignore" 16348 n_values null 16348 sparse true 16348 memory null 16374 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"}}] 16374 verbose false 16374 n_jobs null 16375 remainder "drop" 16375 sparse_threshold 0.3 16375 transformer_weights null 16375 transformers [{"oml-python:serialized_object": "component_reference", "value": {"key": "num", "step_name": "num", "argument_1": [true, false, false, false, false, true, false, false, false, true, false, true, true, true, true, false]}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "cat", "step_name": "cat", "argument_1": [false, true, true, true, true, false, true, true, true, false, true, false, false, false, false, true]}}] 16375 verbose false 16375 memory null 16376 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}] 16376 verbose false 16376 memory null 16377 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "onehotencoder", "step_name": "onehotencoder"}}] 16377 verbose false 16377 openml-python Sklearn_0.21.2. 1461 bank-marketing https://www.openml.org/data/download/1586218/phpkIxskf -1 21718736 description https://api.openml.org/data/download/21718736/description.xml -1 21718737 predictions https://api.openml.org/data/download/21718737/predictions.arff area_under_roc_curve 0.6667708995104265 [0.666771,0.666771] average_cost 0 f_measure 0.8913647533003021 [0.947659,0.466452] kappa 0.41956448223827386 kb_relative_information_score 0.40034280356737 mean_absolute_error 0.09533078233173342 mean_prior_absolute_error 0.2066116987839826 number_of_instances 45211 [39922,5289] precision 0.8911645336688692 [0.919735,0.675511] predictive_accuracy 0.9046692176682666 prior_entropy 0.520631223257915 recall 0.9046692176682666 [0.977331,0.356211] relative_absolute_error 0.46140069944153544 root_mean_prior_squared_error 0.3214021785344237 root_mean_squared_error 0.3087568336599749 root_relative_squared_error 0.9606556964482604 total_cost 0 area_under_roc_curve 0.660571169679264 [0.660571,0.660571] area_under_roc_curve 0.6646866391184573 [0.664687,0.664687] area_under_roc_curve 0.6766245155717863 [0.676625,0.676625] area_under_roc_curve 0.6657265381424474 [0.665727,0.665727] area_under_roc_curve 0.6743584049005383 [0.674358,0.674358] area_under_roc_curve 0.6657381397956592 [0.665738,0.665738] area_under_roc_curve 0.6469481969610298 [0.646948,0.646948] area_under_roc_curve 0.6673095718847902 [0.66731,0.66731] area_under_roc_curve 0.6775012690788004 [0.677501,0.677501] area_under_roc_curve 0.6682431498156994 [0.668243,0.668243] 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 0.8880827433535999 [0.945949,0.451295] f_measure 0.8896406066865492 [0.946524,0.459459] f_measure 0.8956049754243156 [0.949581,0.488286] f_measure 0.8913307123648947 [0.947803,0.465174] f_measure 0.8944163560233943 [0.948967,0.482759] f_measure 0.8892821524748782 [0.946114,0.460414] f_measure 0.8848988712073494 [0.945635,0.426564] f_measure 0.8904996153213953 [0.946869,0.465116] f_measure 0.8968905363834352 [0.950473,0.492537] f_measure 0.8928856868494485 [0.948671,0.47191] kappa 0.4027015843936421 kappa 0.41113260262196427 kappa 0.44295798169631945 kappa 0.4186398415758208 kappa 0.4368256615923774 kappa 0.4114258677767309 kappa 0.3794564153764462 kappa 0.4170243730143202 kappa 0.4483838496812439 kappa 0.4263215285829348 kb_relative_information_score 0.38098355135444406 kb_relative_information_score 0.3871329968919728 kb_relative_information_score 0.4226709750753033 kb_relative_information_score 0.40180366092139785 kb_relative_information_score 0.4157152036906674 kb_relative_information_score 0.3837186553213454 kb_relative_information_score 0.37537172965978516 kb_relative_information_score 0.39206558098290745 kb_relative_information_score 0.4324090550137923 kb_relative_information_score 0.4115417408598874 mean_absolute_error 0.0984077841662981 mean_absolute_error 0.09732360097323602 mean_absolute_error 0.09179385091793851 mean_absolute_error 0.09511170095111701 mean_absolute_error 0.09289980092899801 mean_absolute_error 0.09798717097987171 mean_absolute_error 0.09931431099314311 mean_absolute_error 0.09666003096660031 mean_absolute_error 0.0902455209024552 mean_absolute_error 0.09356337093563372 mean_prior_absolute_error 0.20661080331612625 mean_prior_absolute_error 0.2064611931746976 mean_prior_absolute_error 0.20663062394342793 mean_prior_absolute_error 0.20663062394342793 mean_prior_absolute_error 0.20663062394342793 mean_prior_absolute_error 0.20663062394342793 mean_prior_absolute_error 0.20663062394342793 mean_prior_absolute_error 0.20663062394342793 mean_prior_absolute_error 0.20663062394342793 mean_prior_absolute_error 0.20663062394342793 number_of_instances 4522 [3993,529] number_of_instances 4521 [3993,528] number_of_instances 4521 [3992,529] number_of_instances 4521 [3992,529] number_of_instances 4521 [3992,529] number_of_instances 4521 [3992,529] number_of_instances 4521 [3992,529] number_of_instances 4521 [3992,529] number_of_instances 4521 [3992,529] number_of_instances 4521 [3992,529] precision 0.8868738094024823 [0.918396,0.648936] precision 0.8884575278735862 [0.919481,0.653846] precision 0.8961982729536407 [0.921916,0.702128] precision 0.8914352543106785 [0.919454,0.68] precision 0.8946480776298552 [0.921425,0.69258] precision 0.8877360837975548 [0.919603,0.64726] precision 0.8850115671735519 [0.915163,0.65748] precision 0.8894699295858464 [0.919915,0.659722] precision 0.8984031748839847 [0.922044,0.72] precision 0.8936390277964941 [0.919981,0.694853] predictive_accuracy 0.901592215833702 predictive_accuracy 0.9026763990267639 predictive_accuracy 0.9082061490820615 predictive_accuracy 0.904888299048883 predictive_accuracy 0.907100199071002 predictive_accuracy 0.9020128290201284 predictive_accuracy 0.9006856890068569 predictive_accuracy 0.9033399690333996 predictive_accuracy 0.9097544790975448 predictive_accuracy 0.9064366290643663 prior_entropy 0.52062781452543 prior_entropy 0.5200583010979982 prior_entropy 0.5207032647140379 prior_entropy 0.5207032647140379 prior_entropy 0.5207032647140379 prior_entropy 0.5207032647140379 prior_entropy 0.5207032647140379 prior_entropy 0.5207032647140379 prior_entropy 0.5207032647140379 prior_entropy 0.5207032647140379 recall 0.9015922158337019 [0.975207,0.345936] recall 0.902676399026764 [0.975207,0.354167] recall 0.9082061490820615 [0.978958,0.374291] recall 0.904888299048883 [0.977956,0.353497] recall 0.907100199071002 [0.978206,0.37051] recall 0.9020128290201282 [0.974198,0.357278] recall 0.9006856890068569 [0.978206,0.31569] recall 0.9033399690333996 [0.975451,0.359168] recall 0.9097544790975448 [0.980711,0.374291] recall 0.9064366290643663 [0.979208,0.357278] relative_absolute_error 0.4762954433497294 relative_absolute_error 0.4713893176568317 relative_absolute_error 0.44424127056340956 relative_absolute_error 0.4602981839572678 relative_absolute_error 0.44959357502802905 relative_absolute_error 0.4742141755652781 relative_absolute_error 0.4806369409228215 relative_absolute_error 0.46779141020773496 relative_absolute_error 0.4367480443129425 relative_absolute_error 0.4528049577068007 root_mean_prior_squared_error 0.32140078546700224 root_mean_prior_squared_error 0.32116795412583954 root_mean_prior_squared_error 0.3214316187404526 root_mean_prior_squared_error 0.3214316187404526 root_mean_prior_squared_error 0.3214316187404526 root_mean_prior_squared_error 0.3214316187404526 root_mean_prior_squared_error 0.3214316187404526 root_mean_prior_squared_error 0.3214316187404526 root_mean_prior_squared_error 0.3214316187404526 root_mean_prior_squared_error 0.3214316187404526 root_mean_squared_error 0.3137001500896965 root_mean_squared_error 0.3119673075391651 root_mean_squared_error 0.3029750004834368 root_mean_squared_error 0.3084018497854982 root_mean_squared_error 0.3047946865170028 root_mean_squared_error 0.31302902577855574 root_mean_squared_error 0.31514173159571096 root_mean_squared_error 0.31090196359399264 root_mean_squared_error 0.3004089228076543 root_mean_squared_error 0.30588130203664576 root_relative_squared_error 0.9760403965220042 root_relative_squared_error 0.9713525385441492 root_relative_squared_error 0.9425799542392902 root_relative_squared_error 0.9594633253380229 root_relative_squared_error 0.9482411460059762 root_relative_squared_error 0.9738588475059706 root_relative_squared_error 0.9804316477346289 root_relative_squared_error 0.9672413834465913 root_relative_squared_error 0.9345966771558538 root_relative_squared_error 0.9516216955732556 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 79192.13897513691 usercpu_time_millis 77835.22101503331 usercpu_time_millis 79306.23038997874 usercpu_time_millis 74964.42045492586 usercpu_time_millis 84856.19000007864 usercpu_time_millis 78552.40604106802 usercpu_time_millis 76551.4628739329 usercpu_time_millis 79870.64450001344 usercpu_time_millis 77163.73413195834 usercpu_time_millis 75970.38601303939 usercpu_time_millis_testing 3370.0458210660145 usercpu_time_millis_testing 3325.316990027204 usercpu_time_millis_testing 3389.2624649452046 usercpu_time_millis_testing 3303.946550935507 usercpu_time_millis_testing 3381.817806046456 usercpu_time_millis_testing 3371.043337043375 usercpu_time_millis_testing 3303.942419937812 usercpu_time_millis_testing 3351.7500900197774 usercpu_time_millis_testing 3400.8950639981776 usercpu_time_millis_testing 2772.340666037053 usercpu_time_millis_training 75822.0931540709 usercpu_time_millis_training 74509.90402500611 usercpu_time_millis_training 75916.96792503353 usercpu_time_millis_training 71660.47390399035 usercpu_time_millis_training 81474.37219403218 usercpu_time_millis_training 75181.36270402465 usercpu_time_millis_training 73247.5204539951 usercpu_time_millis_training 76518.89440999366 usercpu_time_millis_training 73762.83906796016 usercpu_time_millis_training 73198.04534700233 wall_clock_time_millis 79238.33990097046 wall_clock_time_millis 77835.8097076416 wall_clock_time_millis 79424.1578578949 wall_clock_time_millis 75006.3636302948 wall_clock_time_millis 84856.78482055664 wall_clock_time_millis 78552.64115333557 wall_clock_time_millis 76594.00916099548 wall_clock_time_millis 79957.1886062622 wall_clock_time_millis 77164.49046134949 wall_clock_time_millis 76012.45784759521 wall_clock_time_millis_testing 3370.1083660125732 wall_clock_time_millis_testing 3325.3531455993652 wall_clock_time_millis_testing 3389.3094062805176 wall_clock_time_millis_testing 3305.5100440979004 wall_clock_time_millis_testing 3381.865978240967 wall_clock_time_millis_testing 3371.1330890655518 wall_clock_time_millis_testing 3305.4609298706055 wall_clock_time_millis_testing 3351.7980575561523 wall_clock_time_millis_testing 3400.9346961975098 wall_clock_time_millis_testing 2773.3211517333984 wall_clock_time_millis_training 75868.23153495789 wall_clock_time_millis_training 74510.45656204224 wall_clock_time_millis_training 76034.84845161438 wall_clock_time_millis_training 71700.8535861969 wall_clock_time_millis_training 81474.91884231567 wall_clock_time_millis_training 75181.50806427002 wall_clock_time_millis_training 73288.54823112488 wall_clock_time_millis_training 76605.39054870605 wall_clock_time_millis_training 73763.55576515198 wall_clock_time_millis_training 73239.13669586182