10327768 8323 Heinrich Peters 146817 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8183421 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 0.5918080154931042 13389 cache_size 200 13389 class_weight null 13389 coef0 0.470341592072858 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.007713854313651463 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 9129 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 steps [{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 40982 steel-plates-fault https://www.openml.org/data/download/18151921/php5s7Ep8 -1 21577222 description https://api.openml.org/data/download/21577222/description.xml -1 21577223 predictions https://api.openml.org/data/download/21577223/predictions.arff area_under_roc_curve 0.752001220536515 [0.718624,0.5,0.936672,0.699256,0.502884,0.791132,0.894698] average_cost 0 kappa 0.5330733800956702 kb_relative_information_score 0.5537248300720731 mean_absolute_error 0.09847648487524809 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] predictive_accuracy 0.6553323029366307 prior_entropy 2.4106995883230287 recall 0.6553323029366306 [0.537313,0,0.879795,0.76523,0.006329,0.583333,0.810526] relative_absolute_error 0.44290180938268314 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.3138096315845772 root_relative_squared_error 0.9413429880935389 total_cost 0 area_under_roc_curve 0.7741686740678676 [0.73828,0.5,0.934274,0.738573,0.5,0.8125,0.91253] area_under_roc_curve 0.7421517566471175 [0.730591,0.5,0.971133,0.654719,0.5,0.714286,0.883308] area_under_roc_curve 0.7627128427128427 [0.732792,0.5,0.935897,0.73261,0.5,0.714286,0.886165] area_under_roc_curve 0.736362239910627 [0.673052,0.5,0.916625,0.679972,0.5,0.857143,0.918195] area_under_roc_curve 0.7577251780477585 [0.717045,0.5,0.951861,0.703782,0.5,0.785714,0.912481] area_under_roc_curve 0.7698602046401953 [0.770779,0.5,0.935897,0.721883,0.53125,0.854469,0.851278] area_under_roc_curve 0.7532247178780072 [0.741071,0.5,0.951861,0.682689,0.5,0.857143,0.874737] area_under_roc_curve 0.734748951835566 [0.644805,0.5,0.910256,0.695146,0.5,0.857143,0.930226] area_under_roc_curve 0.7349394560973995 [0.698052,0.5,0.948718,0.683335,0.5,0.640183,0.862707] area_under_roc_curve 0.7538147415422741 [0.738799,0.5,0.910256,0.699083,0.497207,0.8125,0.915338] 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 0.5763134461264471 kappa 0.5134709085697907 kappa 0.5551592356687899 kappa 0.5070601473737704 kappa 0.5452578434908041 kappa 0.5681459141174782 kappa 0.5279139481572915 kappa 0.49807754500700707 kappa 0.4998184327111627 kappa 0.5389435022145403 kb_relative_information_score 0.5899418672667122 kb_relative_information_score 0.5377009090687496 kb_relative_information_score 0.5650244968758706 kb_relative_information_score 0.5420371912918832 kb_relative_information_score 0.5655404553880437 kb_relative_information_score 0.5802679351506639 kb_relative_information_score 0.5508619548122498 kb_relative_information_score 0.5298267414221809 kb_relative_information_score 0.5158958480716305 kb_relative_information_score 0.5600804018674935 mean_absolute_error 0.08937728937728945 mean_absolute_error 0.10309278350515466 mean_absolute_error 0.09278350515463923 mean_absolute_error 0.10309278350515466 mean_absolute_error 0.0957290132547865 mean_absolute_error 0.0913107511045656 mean_absolute_error 0.10162002945508103 mean_absolute_error 0.10603829160530193 mean_absolute_error 0.1045655375552283 mean_absolute_error 0.09720176730486013 mean_prior_absolute_error 0.22235334822603825 mean_prior_absolute_error 0.2222580918309025 mean_prior_absolute_error 0.22205320664221154 mean_prior_absolute_error 0.22205320664221154 mean_prior_absolute_error 0.22205320664221154 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225204355964957 mean_prior_absolute_error 0.2225854545124641 number_of_instances 195 [41,5,40,67,15,8,19] number_of_instances 194 [41,5,39,67,16,7,19] number_of_instances 194 [40,5,39,68,16,7,19] number_of_instances 194 [40,5,39,68,16,7,19] number_of_instances 194 [40,5,39,68,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,16,7,19] number_of_instances 194 [40,6,39,67,15,8,19] predictive_accuracy 0.6871794871794872 predictive_accuracy 0.6391752577319587 predictive_accuracy 0.6752577319587628 predictive_accuracy 0.6391752577319587 predictive_accuracy 0.6649484536082474 predictive_accuracy 0.6804123711340206 predictive_accuracy 0.6443298969072165 predictive_accuracy 0.6288659793814433 predictive_accuracy 0.634020618556701 predictive_accuracy 0.6597938144329896 prior_entropy 2.4086971702017688 prior_entropy 2.4034011426545026 prior_entropy 2.3995765614552553 prior_entropy 2.3995765614552553 prior_entropy 2.3995765614552553 prior_entropy 2.4180778493888857 prior_entropy 2.4180778493888857 prior_entropy 2.4180778493888857 prior_entropy 2.4180778493888857 prior_entropy 2.4238668101950935 recall 0.6871794871794872 [0.560976,0,0.875,0.820896,0,0.625,0.842105] recall 0.6391752577319587 [0.585366,0,0.948718,0.671642,0,0.428571,0.789474] recall 0.6752577319587629 [0.55,0,0.871795,0.838235,0,0.428571,0.789474] recall 0.6391752577319587 [0.45,0,0.846154,0.764706,0,0.714286,0.842105] recall 0.6649484536082474 [0.525,0,0.923077,0.764706,0,0.571429,0.842105] recall 0.6804123711340206 [0.6,0,0.871795,0.80597,0.0625,0.714286,0.736842] recall 0.6443298969072165 [0.625,0,0.923077,0.656716,0,0.714286,0.789474] recall 0.6288659793814433 [0.4,0,0.820513,0.776119,0,0.714286,0.894737] recall 0.634020618556701 [0.5,0,0.897436,0.776119,0,0.285714,0.736842] recall 0.6597938144329897 [0.575,0,0.820513,0.776119,0,0.625,0.842105] relative_absolute_error 0.4019606184946267 relative_absolute_error 0.4638426554277686 relative_absolute_error 0.41784357252781695 relative_absolute_error 0.46427063614201863 relative_absolute_error 0.43110844784616026 relative_absolute_error 0.41034770968246115 relative_absolute_error 0.4566772898079001 relative_absolute_error 0.4765328241473739 relative_absolute_error 0.46991431270088263 relative_absolute_error 0.43669415648818666 root_mean_prior_squared_error 0.33337802806616484 root_mean_prior_squared_error 0.3332351320046385 root_mean_prior_squared_error 0.33292757172312704 root_mean_prior_squared_error 0.33292757172312704 root_mean_prior_squared_error 0.33292757172312704 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.3336285314054271 root_mean_prior_squared_error 0.33372595925955534 root_mean_squared_error 0.29896034749994765 root_mean_squared_error 0.3210806495339678 root_mean_squared_error 0.3046038495400858 root_mean_squared_error 0.3210806495339678 root_mean_squared_error 0.30940105567820303 root_mean_squared_error 0.3021766885525182 root_mean_squared_error 0.3187789664565105 root_mean_squared_error 0.3256352124775543 root_mean_squared_error 0.32336594990077155 root_mean_squared_error 0.31177197966600545 root_relative_squared_error 0.8967608010465934 root_relative_squared_error 0.9635258071453839 root_relative_squared_error 0.9149252732765667 root_relative_squared_error 0.9644159174686454 root_relative_squared_error 0.9293344317409392 root_relative_squared_error 0.9057279582162342 root_relative_squared_error 0.9554907223121414 root_relative_squared_error 0.976041260937125 root_relative_squared_error 0.9692394968097485 root_relative_squared_error 0.9342155472644094 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 181.26819700410124 usercpu_time_millis 176.12350799754495 usercpu_time_millis 177.26107799535384 usercpu_time_millis 178.91219399461988 usercpu_time_millis 175.7937869988382 usercpu_time_millis 177.00232299830532 usercpu_time_millis 177.70834799739532 usercpu_time_millis 177.30848599603632 usercpu_time_millis 177.2552429974894 usercpu_time_millis 177.75856699881842 usercpu_time_millis_testing 16.313829000864644 usercpu_time_millis_testing 15.915121999569237 usercpu_time_millis_testing 16.13368199468823 usercpu_time_millis_testing 15.876334997301456 usercpu_time_millis_testing 16.081538000435103 usercpu_time_millis_testing 16.09316899703117 usercpu_time_millis_testing 15.956864997860976 usercpu_time_millis_testing 16.000718002032954 usercpu_time_millis_testing 16.041613998822868 usercpu_time_millis_testing 15.981081000063568 usercpu_time_millis_training 164.9543680032366 usercpu_time_millis_training 160.2083859979757 usercpu_time_millis_training 161.1273960006656 usercpu_time_millis_training 163.03585899731843 usercpu_time_millis_training 159.71224899840308 usercpu_time_millis_training 160.90915400127415 usercpu_time_millis_training 161.75148299953435 usercpu_time_millis_training 161.30776799400337 usercpu_time_millis_training 161.21362899866654 usercpu_time_millis_training 161.77748599875486 wall_clock_time_millis 181.29897117614746 wall_clock_time_millis 176.15175247192383 wall_clock_time_millis 177.29997634887695 wall_clock_time_millis 178.94268035888672 wall_clock_time_millis 175.82082748413086 wall_clock_time_millis 177.0336627960205 wall_clock_time_millis 177.77466773986816 wall_clock_time_millis 177.41966247558594 wall_clock_time_millis 177.30045318603516 wall_clock_time_millis 177.8397560119629 wall_clock_time_millis_testing 16.325950622558594 wall_clock_time_millis_testing 15.927553176879883 wall_clock_time_millis_testing 16.154766082763672 wall_clock_time_millis_testing 15.888452529907227 wall_clock_time_millis_testing 16.092300415039062 wall_clock_time_millis_testing 16.106843948364258 wall_clock_time_millis_testing 15.968561172485352 wall_clock_time_millis_testing 16.01433753967285 wall_clock_time_millis_testing 16.055583953857422 wall_clock_time_millis_testing 15.994548797607422 wall_clock_time_millis_training 164.97302055358887 wall_clock_time_millis_training 160.22419929504395 wall_clock_time_millis_training 161.14521026611328 wall_clock_time_millis_training 163.0542278289795 wall_clock_time_millis_training 159.7285270690918 wall_clock_time_millis_training 160.92681884765625 wall_clock_time_millis_training 161.8061065673828 wall_clock_time_millis_training 161.4053249359131 wall_clock_time_millis_training 161.24486923217773 wall_clock_time_millis_training 161.84520721435547