10327861 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) 8183514 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 501.5744284574111 13389 cache_size 200 13389 class_weight null 13389 coef0 0.6985159993759883 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.18598884343194927 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 47663 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 21577408 description https://api.openml.org/data/download/21577408/description.xml -1 21577409 predictions https://api.openml.org/data/download/21577409/predictions.arff area_under_roc_curve 0.8359917513146184 [0.789149,0.906705,0.965116,0.780823,0.721278,0.949516,0.896697] average_cost 0 f_measure 0.7575076980887747 [0.665012,0.825688,0.95201,0.712857,0.532374,0.902778,0.823529] kappa 0.6866496990858986 kb_relative_information_score 0.7198557373998113 mean_absolute_error 0.06903657908294746 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] precision 0.7591554395110223 [0.663366,0.833333,0.965789,0.686382,0.616667,0.902778,0.836957] predictive_accuracy 0.7583719732096857 prior_entropy 2.4106995883230287 recall 0.7583719732096857 [0.666667,0.818182,0.938619,0.741456,0.468354,0.902778,0.810526] relative_absolute_error 0.31049469148053904 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.2627481286002765 root_relative_squared_error 0.7881724574343038 total_cost 0 area_under_roc_curve 0.8359225535888843 [0.787061,1,0.952823,0.783291,0.683333,0.9375,0.915371] area_under_roc_curve 0.829157272198558 [0.724932,0.997354,0.967907,0.779057,0.735955,0.997326,0.918195] area_under_roc_curve 0.8758065119135839 [0.833279,1,0.987179,0.843721,0.642205,0.997326,0.970827] area_under_roc_curve 0.83258019362405 [0.807792,0.994709,0.932672,0.761671,0.795646,0.928571,0.886165] area_under_roc_curve 0.8491762548594735 [0.873539,0.9,0.955087,0.791083,0.616573,1,0.915338] area_under_roc_curve 0.8192984412347979 [0.811039,0.664007,0.961538,0.748384,0.735955,0.997326,0.848421] area_under_roc_curve 0.8141795045906295 [0.713312,0.916667,0.971133,0.774709,0.676264,0.925898,0.886165] area_under_roc_curve 0.8239674134882538 [0.727273,0.914007,0.955087,0.755435,0.804073,0.997326,0.924511] area_under_roc_curve 0.8245336433219228 [0.778571,0.992021,0.996774,0.786931,0.707514,0.714286,0.786617] area_under_roc_curve 0.8552933202657292 [0.836039,0.74734,0.971133,0.783406,0.819367,0.994624,0.915338] 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 f_measure 0.7577243177243178 [0.666667,1,0.925,0.714286,0.444444,0.933333,0.864865] f_measure 0.7456645553442516 [0.567901,0.909091,0.948718,0.710145,0.551724,0.933333,0.888889] f_measure 0.8131835518433456 [0.74359,1,0.987013,0.791667,0.384615,0.933333,0.947368] f_measure 0.7551020522478408 [0.691358,0.833333,0.918919,0.690647,0.625,0.923077,0.810811] f_measure 0.7753762665962417 [0.776471,0.888889,0.935065,0.727273,0.347826,1,0.864865] f_measure 0.7306871159412931 [0.7,0.444444,0.96,0.671429,0.551724,0.933333,0.7] f_measure 0.724930821537956 [0.54321,0.909091,0.961039,0.704225,0.461538,0.857143,0.810811] f_measure 0.7381184844250117 [0.597015,0.833333,0.935065,0.680556,0.689655,0.933333,0.772727] f_measure 0.7343030774822529 [0.622222,0.8,0.987342,0.720588,0.518519,0.6,0.709677] f_measure 0.7829502871494323 [0.731707,0.6,0.961039,0.716418,0.666667,0.888889,0.864865] kappa 0.6871052541736369 kappa 0.6733445586062334 kappa 0.7647588691796009 kappa 0.6803076078000548 kappa 0.7164038843061501 kappa 0.6528561596696489 kappa 0.6443199114431991 kappa 0.6671242278654771 kappa 0.6585214330089045 kappa 0.7220440745036502 kb_relative_information_score 0.7236679400481429 kb_relative_information_score 0.7186162135993344 kb_relative_information_score 0.7862248034423095 kb_relative_information_score 0.7238154079304282 kb_relative_information_score 0.7401212451931733 kb_relative_information_score 0.679974830493869 kb_relative_information_score 0.6802768239343557 kb_relative_information_score 0.7159752304427969 kb_relative_information_score 0.6787845560081033 kb_relative_information_score 0.751704924306145 mean_absolute_error 0.06886446886446893 mean_absolute_error 0.07216494845360831 mean_absolute_error 0.05154639175257733 mean_absolute_error 0.07069219440353466 mean_absolute_error 0.06185567010309282 mean_absolute_error 0.07658321060382924 mean_absolute_error 0.07805596465390288 mean_absolute_error 0.07363770250368196 mean_absolute_error 0.07511045655375559 mean_absolute_error 0.06185567010309282 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] precision 0.7587399992194512 [0.675,1,0.925,0.684932,0.5,1,0.888889] precision 0.7465701550191509 [0.575,0.833333,0.948718,0.690141,0.615385,0.875,0.941176] precision 0.812635648399349 [0.763158,1,1,0.75,0.5,0.875,0.947368] precision 0.7607184553975433 [0.682927,0.714286,0.971429,0.676056,0.625,1,0.833333] precision 0.7807170848082404 [0.733333,1,0.947368,0.693333,0.571429,1,0.888889] precision 0.7359526124442802 [0.7,0.666667,1,0.643836,0.615385,0.875,0.666667] precision 0.7295726744570756 [0.536585,1,0.973684,0.666667,0.6,0.857143,0.833333] precision 0.7503404845089597 [0.740741,0.833333,0.947368,0.636364,0.769231,0.875,0.68] precision 0.7556865721309917 [0.56,0.666667,0.975,0.710145,0.636364,1,0.916667] precision 0.7852268127363081 [0.714286,0.75,0.973684,0.716418,0.666667,0.8,0.888889] predictive_accuracy 0.7589743589743589 predictive_accuracy 0.7474226804123711 predictive_accuracy 0.8195876288659794 predictive_accuracy 0.7525773195876289 predictive_accuracy 0.7835051546391754 predictive_accuracy 0.7319587628865979 predictive_accuracy 0.7268041237113403 predictive_accuracy 0.7422680412371134 predictive_accuracy 0.7371134020618557 predictive_accuracy 0.7835051546391754 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 0.7589743589743589 [0.658537,1,0.925,0.746269,0.4,0.875,0.842105] recall 0.7474226804123711 [0.560976,1,0.948718,0.731343,0.5,1,0.842105] recall 0.8195876288659794 [0.725,1,0.974359,0.838235,0.3125,1,0.947368] recall 0.7525773195876289 [0.7,1,0.871795,0.705882,0.625,0.857143,0.789474] recall 0.7835051546391752 [0.825,0.8,0.923077,0.764706,0.25,1,0.842105] recall 0.7319587628865979 [0.7,0.333333,0.923077,0.701493,0.5,1,0.736842] recall 0.7268041237113402 [0.55,0.833333,0.948718,0.746269,0.375,0.857143,0.789474] recall 0.7422680412371134 [0.5,0.833333,0.923077,0.731343,0.625,1,0.894737] recall 0.7371134020618557 [0.7,1,1,0.731343,0.4375,0.428571,0.578947] recall 0.7835051546391752 [0.75,0.5,0.948718,0.716418,0.666667,1,0.842105] relative_absolute_error 0.30970736179094194 relative_absolute_error 0.32468985879943824 relative_absolute_error 0.23213531807100932 relative_absolute_error 0.3183570076402415 relative_absolute_error 0.27856238168521125 relative_absolute_error 0.3441625952175481 relative_absolute_error 0.35078110666403944 relative_absolute_error 0.3309255723245655 relative_absolute_error 0.33754408377105677 relative_absolute_error 0.27789628140157335 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 0.2624204048172873 root_mean_squared_error 0.2686353447586678 root_mean_squared_error 0.22703830459324992 root_mean_squared_error 0.26588003761759677 root_mean_squared_error 0.24870800168690355 root_mean_squared_error 0.2767367171226638 root_mean_squared_error 0.27938497571255133 root_mean_squared_error 0.2713626770646287 root_mean_squared_error 0.2740628697101371 root_mean_squared_error 0.24870800168690355 root_relative_squared_error 0.7871556693148514 root_relative_squared_error 0.8061435273725235 root_relative_squared_error 0.6819450351263248 root_relative_squared_error 0.7986122514320049 root_relative_squared_error 0.7470333574346821 root_relative_squared_error 0.8294755725983517 root_relative_squared_error 0.8374133187459357 root_relative_squared_error 0.8133677174476045 root_relative_squared_error 0.8214611279066374 root_relative_squared_error 0.7452461961266578 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 461.8844829965383 usercpu_time_millis 456.89429100457346 usercpu_time_millis 458.02717100741575 usercpu_time_millis 458.9362760016229 usercpu_time_millis 460.0951449974673 usercpu_time_millis 457.69481000024825 usercpu_time_millis 462.1772499958752 usercpu_time_millis 457.75850400241325 usercpu_time_millis 462.67256399733014 usercpu_time_millis 475.12297500361456 usercpu_time_millis_testing 24.162000998330768 usercpu_time_millis_testing 25.672961004602257 usercpu_time_millis_testing 24.116545006108936 usercpu_time_millis_testing 24.11621200008085 usercpu_time_millis_testing 24.414575003902428 usercpu_time_millis_testing 23.988351997104473 usercpu_time_millis_testing 23.8749039999675 usercpu_time_millis_testing 24.29171000403585 usercpu_time_millis_testing 23.921592997794505 usercpu_time_millis_testing 24.120923997543287 usercpu_time_millis_training 437.7224819982075 usercpu_time_millis_training 431.2213299999712 usercpu_time_millis_training 433.9106260013068 usercpu_time_millis_training 434.82006400154205 usercpu_time_millis_training 435.68056999356486 usercpu_time_millis_training 433.7064580031438 usercpu_time_millis_training 438.3023459959077 usercpu_time_millis_training 433.4667939983774 usercpu_time_millis_training 438.75097099953564 usercpu_time_millis_training 451.00205100607127 wall_clock_time_millis 494.0657615661621 wall_clock_time_millis 584.9659442901611 wall_clock_time_millis 474.13039207458496 wall_clock_time_millis 523.0567455291748 wall_clock_time_millis 460.1600170135498 wall_clock_time_millis 457.77058601379395 wall_clock_time_millis 550.2569675445557 wall_clock_time_millis 457.8208923339844 wall_clock_time_millis 462.7518653869629 wall_clock_time_millis 529.3910503387451 wall_clock_time_millis_testing 24.213552474975586 wall_clock_time_millis_testing 25.686979293823242 wall_clock_time_millis_testing 24.131298065185547 wall_clock_time_millis_testing 24.131298065185547 wall_clock_time_millis_testing 24.428606033325195 wall_clock_time_millis_testing 24.0020751953125 wall_clock_time_millis_testing 23.88739585876465 wall_clock_time_millis_testing 24.30558204650879 wall_clock_time_millis_testing 23.93817901611328 wall_clock_time_millis_testing 24.144411087036133 wall_clock_time_millis_training 469.8522090911865 wall_clock_time_millis_training 559.2789649963379 wall_clock_time_millis_training 449.9990940093994 wall_clock_time_millis_training 498.92544746398926 wall_clock_time_millis_training 435.7314109802246 wall_clock_time_millis_training 433.76851081848145 wall_clock_time_millis_training 526.369571685791 wall_clock_time_millis_training 433.5153102874756 wall_clock_time_millis_training 438.8136863708496 wall_clock_time_millis_training 505.246639251709