10327856 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) 8183509 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 48452.94589563932 13389 cache_size 200 13389 class_weight null 13389 coef0 0.04048723473360227 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 6.678631422977849e-05 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 60079 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 21577398 description https://api.openml.org/data/download/21577398/description.xml -1 21577399 predictions https://api.openml.org/data/download/21577399/predictions.arff area_under_roc_curve 0.8260327302230357 [0.769183,0.814735,0.962869,0.752591,0.777118,0.956996,0.919177] average_cost 0 f_measure 0.7432227290033747 [0.628641,0.679612,0.94696,0.676946,0.613333,0.923077,0.859416] kappa 0.6675299582742389 kb_relative_information_score 0.7072192247742976 mean_absolute_error 0.07359976448075406 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] precision 0.7447921982621678 [0.613744,0.729167,0.958115,0.669086,0.647887,0.929577,0.86631] predictive_accuracy 0.7424008243173621 prior_entropy 2.4106995883230287 recall 0.7424008243173622 [0.644279,0.636364,0.936061,0.684993,0.582278,0.916667,0.852632] relative_absolute_error 0.33101779475537135 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.2712927652569343 root_relative_squared_error 0.8138040282753154 total_cost 0 area_under_roc_curve 0.8403198474558832 [0.808204,0.789474,0.959274,0.757696,0.816667,0.9375,0.941687] area_under_roc_curve 0.8071533274190458 [0.71186,0.8,0.971133,0.72247,0.826896,0.928571,0.915338] area_under_roc_curve 0.8435373305362434 [0.782792,0.7,0.971133,0.805789,0.735955,1,0.915338] area_under_roc_curve 0.7989101599540164 [0.742045,1,0.919851,0.718604,0.701896,0.928571,0.938797] area_under_roc_curve 0.8632863256710345 [0.867045,0.894709,0.964682,0.80077,0.707514,0.997326,0.944511] area_under_roc_curve 0.83659239105982 [0.757792,0.74734,0.958313,0.772006,0.946278,0.997326,0.856992] area_under_roc_curve 0.809196563543469 [0.756331,0.916667,0.961456,0.723293,0.715941,0.925898,0.912481] area_under_roc_curve 0.8143026989771525 [0.738799,0.74734,0.971133,0.726407,0.761587,0.997326,0.959398] area_under_roc_curve 0.8313469252024893 [0.775812,0.903369,0.980728,0.749618,0.838132,0.857143,0.89188] area_under_roc_curve 0.8154677361704237 [0.751299,0.666667,0.971133,0.747973,0.719367,0.997312,0.915338] 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 0.7619699792900785 [0.690476,0.5,0.948718,0.681818,0.645161,0.933333,0.894737] f_measure 0.7199014114265783 [0.541176,0.75,0.961039,0.637037,0.666667,0.923077,0.864865] f_measure 0.7710055193974791 [0.658228,0.571429,0.961039,0.744828,0.551724,1,0.864865] f_measure 0.7133461341374281 [0.597403,1,0.90411,0.639456,0.482759,0.923077,0.871795] f_measure 0.7901380121965379 [0.758621,0.727273,0.936709,0.742424,0.518519,0.933333,0.918919] f_measure 0.7510403988428948 [0.623377,0.6,0.947368,0.701493,0.769231,0.933333,0.756757] f_measure 0.7161354997127096 [0.586957,0.909091,0.925,0.635659,0.583333,0.857143,0.842105] f_measure 0.7190170654088179 [0.589744,0.6,0.961039,0.641791,0.5625,0.933333,0.857143] f_measure 0.7507725703755475 [0.627907,0.625,0.962025,0.671756,0.758621,0.833333,0.857143] f_measure 0.7293967005299534 [0.607595,0.5,0.961039,0.671329,0.518519,0.941176,0.864865] kappa 0.6913621821855531 kappa 0.6336229097277066 kappa 0.7030853247069463 kappa 0.6228170676665626 kappa 0.734610123119015 kappa 0.6836311748318271 kappa 0.6350265093210193 kappa 0.643333787280403 kappa 0.6760164956886269 kappa 0.6508859357696566 kb_relative_information_score 0.7292485932389166 kb_relative_information_score 0.6826541414735656 kb_relative_information_score 0.7257244899633828 kb_relative_information_score 0.6764844329915661 kb_relative_information_score 0.7635752318339645 kb_relative_information_score 0.7245201731060071 kb_relative_information_score 0.6823667380474062 kb_relative_information_score 0.688334379796702 kb_relative_information_score 0.7158927291615282 kb_relative_information_score 0.6836087326962402 mean_absolute_error 0.06886446886446893 mean_absolute_error 0.08100147275405016 mean_absolute_error 0.0648011782032401 mean_absolute_error 0.0824742268041238 mean_absolute_error 0.058910162002945535 mean_absolute_error 0.07069219440353466 mean_absolute_error 0.08100147275405016 mean_absolute_error 0.07952871870397651 mean_absolute_error 0.07216494845360831 mean_absolute_error 0.07658321060382924 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 0.7666718140472966 [0.674419,0.428571,0.973684,0.692308,0.625,1,0.894737] precision 0.7268813377140594 [0.522727,1,0.973684,0.632353,0.647059,1,0.888889] precision 0.7786788933017907 [0.666667,1,0.973684,0.701299,0.615385,1,0.888889] precision 0.7213344683466583 [0.621622,1,0.970588,0.594937,0.538462,1,0.85] precision 0.7928206306318282 [0.702128,0.666667,0.925,0.765625,0.636364,0.875,0.944444] precision 0.7563373828781718 [0.648649,0.75,0.972973,0.701493,0.652174,0.875,0.777778] precision 0.7333546615121315 [0.519231,1,0.902439,0.66129,0.875,0.857143,0.842105] precision 0.719993689400552 [0.605263,0.75,0.973684,0.641791,0.5625,0.875,0.782609] precision 0.7625861979795193 [0.586957,0.5,0.95,0.6875,0.846154,1,0.9375] precision 0.7404889603071914 [0.615385,1,0.973684,0.631579,0.583333,0.888889,0.888889] predictive_accuracy 0.7589743589743589 predictive_accuracy 0.7164948453608246 predictive_accuracy 0.7731958762886597 predictive_accuracy 0.711340206185567 predictive_accuracy 0.7938144329896908 predictive_accuracy 0.7525773195876289 predictive_accuracy 0.7164948453608246 predictive_accuracy 0.7216494845360825 predictive_accuracy 0.7474226804123711 predictive_accuracy 0.7319587628865979 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 [0.707317,0.6,0.925,0.671642,0.666667,0.875,0.894737] recall 0.7164948453608248 [0.560976,0.6,0.948718,0.641791,0.6875,0.857143,0.842105] recall 0.7731958762886598 [0.65,0.4,0.948718,0.794118,0.5,1,0.842105] recall 0.711340206185567 [0.575,1,0.846154,0.691176,0.4375,0.857143,0.894737] recall 0.7938144329896907 [0.825,0.8,0.948718,0.720588,0.4375,1,0.894737] recall 0.7525773195876289 [0.6,0.5,0.923077,0.701493,0.9375,1,0.736842] recall 0.7164948453608248 [0.675,0.833333,0.948718,0.61194,0.4375,0.857143,0.842105] recall 0.7216494845360825 [0.575,0.5,0.948718,0.641791,0.5625,1,0.947368] recall 0.7474226804123711 [0.675,0.833333,0.974359,0.656716,0.6875,0.714286,0.789474] recall 0.7319587628865979 [0.6,0.333333,0.948718,0.716418,0.466667,1,0.842105] relative_absolute_error 0.30970736179094194 relative_absolute_error 0.36444780069324706 relative_absolute_error 0.2918272570035547 relative_absolute_error 0.3714165089136152 relative_absolute_error 0.26529750636686783 relative_absolute_error 0.31768854943158276 relative_absolute_error 0.36401812955702206 relative_absolute_error 0.3573996181105308 relative_absolute_error 0.32430706087807415 relative_absolute_error 0.3440620626876623 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 0.28460757676852205 root_mean_squared_error 0.25456075542636203 root_mean_squared_error 0.28718326344709544 root_mean_squared_error 0.24271415698913307 root_mean_squared_error 0.26588003761759677 root_mean_squared_error 0.28460757676852205 root_mean_squared_error 0.28200836637230553 root_mean_squared_error 0.2686353447586678 root_mean_squared_error 0.2767367171226638 root_relative_squared_error 0.7871556693148514 root_relative_squared_error 0.8540743440117246 root_relative_squared_error 0.7646130181073219 root_relative_squared_error 0.8625998200170878 root_relative_squared_error 0.7290299080154939 root_relative_squared_error 0.7969343523995494 root_relative_squared_error 0.8530672588750075 root_relative_squared_error 0.8452765271133467 root_relative_squared_error 0.8051929600475948 root_relative_squared_error 0.8292334157542471 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 646.2125289981486 usercpu_time_millis 645.2231950024725 usercpu_time_millis 655.1876019948395 usercpu_time_millis 632.2636109980522 usercpu_time_millis 619.2718020029133 usercpu_time_millis 646.070419003081 usercpu_time_millis 651.7440089955926 usercpu_time_millis 686.7632610010332 usercpu_time_millis 729.5036529976642 usercpu_time_millis 640.1313609967474 usercpu_time_millis_testing 18.523152997659054 usercpu_time_millis_testing 18.27683400188107 usercpu_time_millis_testing 18.871251995733473 usercpu_time_millis_testing 18.571467997389846 usercpu_time_millis_testing 18.711219003307633 usercpu_time_millis_testing 18.940050998935476 usercpu_time_millis_testing 18.466914996679407 usercpu_time_millis_testing 19.13461300136987 usercpu_time_millis_testing 18.719902996963356 usercpu_time_millis_testing 20.01481099432567 usercpu_time_millis_training 627.6893760004896 usercpu_time_millis_training 626.9463610005914 usercpu_time_millis_training 636.316349999106 usercpu_time_millis_training 613.6921430006623 usercpu_time_millis_training 600.5605829996057 usercpu_time_millis_training 627.1303680041456 usercpu_time_millis_training 633.2770939989132 usercpu_time_millis_training 667.6286479996634 usercpu_time_millis_training 710.7837500007008 usercpu_time_millis_training 620.1165500024217 wall_clock_time_millis 702.2769451141357 wall_clock_time_millis 645.3073024749756 wall_clock_time_millis 655.3409099578857 wall_clock_time_millis 756.5114498138428 wall_clock_time_millis 667.4644947052002 wall_clock_time_millis 897.942066192627 wall_clock_time_millis 739.8827075958252 wall_clock_time_millis 698.8658905029297 wall_clock_time_millis 964.4162654876709 wall_clock_time_millis 640.2127742767334 wall_clock_time_millis_testing 18.53466033935547 wall_clock_time_millis_testing 18.286466598510742 wall_clock_time_millis_testing 18.88298988342285 wall_clock_time_millis_testing 18.583297729492188 wall_clock_time_millis_testing 18.724441528320312 wall_clock_time_millis_testing 18.96071434020996 wall_clock_time_millis_testing 18.480777740478516 wall_clock_time_millis_testing 19.148588180541992 wall_clock_time_millis_testing 34.73067283630371 wall_clock_time_millis_testing 20.027875900268555 wall_clock_time_millis_training 683.7422847747803 wall_clock_time_millis_training 627.0208358764648 wall_clock_time_millis_training 636.4579200744629 wall_clock_time_millis_training 737.9281520843506 wall_clock_time_millis_training 648.7400531768799 wall_clock_time_millis_training 878.981351852417 wall_clock_time_millis_training 721.4019298553467 wall_clock_time_millis_training 679.7173023223877 wall_clock_time_millis_training 929.6855926513672 wall_clock_time_millis_training 620.1848983764648