10327832 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) 8183485 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 0.9963167675010125 13389 cache_size 200 13389 class_weight null 13389 coef0 0.8350264578298481 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.0015426280688508745 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 17342 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 21577350 description https://api.openml.org/data/download/21577350/description.xml -1 21577351 predictions https://api.openml.org/data/download/21577351/predictions.arff area_under_roc_curve 0.7265151271351171 [0.721168,0.5,0.908527,0.676945,0.5,0.5,0.878623] average_cost 0 kappa 0.48179049701750165 kb_relative_information_score 0.49642905380928126 mean_absolute_error 0.1078972547287843 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] predictive_accuracy 0.622359608449253 prior_entropy 2.4106995883230287 recall 0.622359608449253 [0.539801,0,0.826087,0.77266,0,0,0.778947] relative_absolute_error 0.4852720871113692 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.3284771753543681 root_relative_squared_error 0.9853416041032785 total_cost 0 area_under_roc_curve 0.7340617799539171 [0.717137,0.5,0.893548,0.695604,0.5,0.5,0.915371] area_under_roc_curve 0.7480186703417292 [0.740395,0.5,0.983954,0.680632,0.5,0.5,0.883308] area_under_roc_curve 0.7252157519899456 [0.713799,0.5,0.89421,0.690126,0.5,0.5,0.85985] area_under_roc_curve 0.7046948750174558 [0.673539,0.5,0.874938,0.651611,0.5,0.5,0.912481] area_under_roc_curve 0.7357850393334264 [0.720292,0.5,0.916625,0.691293,0.5,0.5,0.90391] area_under_roc_curve 0.7435264177021862 [0.783279,0.5,0.907031,0.697849,0.5,0.5,0.856992] area_under_roc_curve 0.7256447159647565 [0.725325,0.5,0.929446,0.662593,0.5,0.5,0.874737] area_under_roc_curve 0.7165614928632456 [0.679545,0.5,0.868569,0.697438,0.5,0.5,0.880451] area_under_roc_curve 0.7149821045096636 [0.700812,0.5,0.923077,0.652662,0.5,0.5,0.865564] area_under_roc_curve 0.7164725267112871 [0.757305,0.5,0.89421,0.649136,0.5,0.5,0.833534] 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 0.4983695652173913 kappa 0.523444837800737 kappa 0.4795869621136956 kappa 0.44252873563218387 kappa 0.49892684346465854 kappa 0.5175541252194266 kappa 0.47288262843659495 kappa 0.4599663028349571 kappa 0.4611505006943936 kappa 0.4626038781163434 kb_relative_information_score 0.5109716327587548 kb_relative_information_score 0.5309091091969599 kb_relative_information_score 0.4948119604297021 kb_relative_information_score 0.47256473471614113 kb_relative_information_score 0.5119655314448339 kb_relative_information_score 0.520098036483399 kb_relative_information_score 0.4875428344851504 kb_relative_information_score 0.4763525244402388 kb_relative_information_score 0.4806360391054274 kb_relative_information_score 0.4785957622582261 mean_absolute_error 0.10402930402930405 mean_absolute_error 0.1001472754050074 mean_absolute_error 0.10751104565537556 mean_absolute_error 0.11487481590574372 mean_absolute_error 0.1045655375552283 mean_absolute_error 0.1001472754050074 mean_absolute_error 0.11192930780559646 mean_absolute_error 0.11192930780559646 mean_absolute_error 0.11192930780559646 mean_absolute_error 0.11192930780559646 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 0.6358974358974359 predictive_accuracy 0.6494845360824741 predictive_accuracy 0.6237113402061856 predictive_accuracy 0.5979381443298969 predictive_accuracy 0.634020618556701 predictive_accuracy 0.6494845360824741 predictive_accuracy 0.6082474226804123 predictive_accuracy 0.6082474226804123 predictive_accuracy 0.6082474226804123 predictive_accuracy 0.6082474226804123 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 0.6358974358974359 [0.512195,0,0.8,0.820896,0,0,0.842105] recall 0.6494845360824743 [0.585366,0,0.974359,0.731343,0,0,0.789474] recall 0.6237113402061856 [0.525,0,0.794872,0.808824,0,0,0.736842] recall 0.5979381443298969 [0.425,0,0.769231,0.779412,0,0,0.842105] recall 0.634020618556701 [0.525,0,0.846154,0.779412,0,0,0.842105] recall 0.6494845360824743 [0.625,0,0.820513,0.820896,0,0,0.736842] recall 0.6082474226804123 [0.6,0,0.871795,0.671642,0,0,0.789474] recall 0.6082474226804123 [0.45,0,0.74359,0.835821,0,0,0.789474] recall 0.6082474226804123 [0.525,0,0.846154,0.746269,0,0,0.736842] recall 0.6082474226804123 [0.625,0,0.794872,0.731343,0,0,0.684211] relative_absolute_error 0.46785580185440134 relative_absolute_error 0.4505900081298324 relative_absolute_error 0.4841679491195336 relative_absolute_error 0.5173301374153919 relative_absolute_error 0.4709030738011903 relative_absolute_error 0.45005877836140884 relative_absolute_error 0.5030068699333391 relative_absolute_error 0.5030068699333391 relative_absolute_error 0.5030068699333391 relative_absolute_error 0.5028599377742752 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 0.32253574070063 root_mean_squared_error 0.3164605432040579 root_mean_squared_error 0.3278887702489604 root_mean_squared_error 0.3389318750217272 root_mean_squared_error 0.32336594990077155 root_mean_squared_error 0.3164605432040579 root_mean_squared_error 0.3345583772760689 root_mean_squared_error 0.3345583772760689 root_mean_squared_error 0.3345583772760689 root_mean_squared_error 0.3345583772760689 root_relative_squared_error 0.9674774986569211 root_relative_squared_error 0.9496614036471187 root_relative_squared_error 0.9848651721811822 root_relative_squared_error 1.0180348634615146 root_relative_squared_error 0.9712801743248011 root_relative_squared_error 0.9485416066514212 root_relative_squared_error 1.002787069399385 root_relative_squared_error 1.002787069399385 root_relative_squared_error 1.002787069399385 root_relative_squared_error 1.0024943160500923 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 306.2655760004418 usercpu_time_millis 310.472890996607 usercpu_time_millis 303.120452001167 usercpu_time_millis 299.6414230001392 usercpu_time_millis 303.16105100064306 usercpu_time_millis 304.32754699722864 usercpu_time_millis 301.70111800543964 usercpu_time_millis 301.05502600054024 usercpu_time_millis 302.8889369961689 usercpu_time_millis 299.91341500135604 usercpu_time_millis_testing 27.412213996285573 usercpu_time_millis_testing 27.002504000847694 usercpu_time_millis_testing 26.802271997439675 usercpu_time_millis_testing 26.800535997608677 usercpu_time_millis_testing 26.975155997206457 usercpu_time_millis_testing 26.737788997706957 usercpu_time_millis_testing 26.785216003190726 usercpu_time_millis_testing 26.835903998289723 usercpu_time_millis_testing 26.69773499656003 usercpu_time_millis_testing 26.87626799888676 usercpu_time_millis_training 278.8533620041562 usercpu_time_millis_training 283.4703869957593 usercpu_time_millis_training 276.3181800037273 usercpu_time_millis_training 272.8408870025305 usercpu_time_millis_training 276.1858950034366 usercpu_time_millis_training 277.5897579995217 usercpu_time_millis_training 274.9159020022489 usercpu_time_millis_training 274.2191220022505 usercpu_time_millis_training 276.1912019996089 usercpu_time_millis_training 273.0371470024693 wall_clock_time_millis 354.311466217041 wall_clock_time_millis 310.565710067749 wall_clock_time_millis 359.53736305236816 wall_clock_time_millis 299.69167709350586 wall_clock_time_millis 319.1969394683838 wall_clock_time_millis 360.368013381958 wall_clock_time_millis 317.734956741333 wall_clock_time_millis 301.1894226074219 wall_clock_time_millis 302.93917655944824 wall_clock_time_millis 299.9742031097412 wall_clock_time_millis_testing 27.425527572631836 wall_clock_time_millis_testing 27.01544761657715 wall_clock_time_millis_testing 26.814699172973633 wall_clock_time_millis_testing 26.814699172973633 wall_clock_time_millis_testing 26.987075805664062 wall_clock_time_millis_testing 26.750802993774414 wall_clock_time_millis_testing 42.79446601867676 wall_clock_time_millis_testing 26.848793029785156 wall_clock_time_millis_testing 26.711702346801758 wall_clock_time_millis_testing 26.888132095336914 wall_clock_time_millis_training 326.8859386444092 wall_clock_time_millis_training 283.5502624511719 wall_clock_time_millis_training 332.72266387939453 wall_clock_time_millis_training 272.8769779205322 wall_clock_time_millis_training 292.2098636627197 wall_clock_time_millis_training 333.6172103881836 wall_clock_time_millis_training 274.94049072265625 wall_clock_time_millis_training 274.3406295776367 wall_clock_time_millis_training 276.2274742126465 wall_clock_time_millis_training 273.0860710144043