10327833 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) 8183486 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 17111.743992628886 13389 cache_size 200 13389 class_weight null 13389 coef0 0.6238038855537555 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.00044751064678453964 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 41560 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 21577352 description https://api.openml.org/data/download/21577352/description.xml -1 21577353 predictions https://api.openml.org/data/download/21577353/predictions.arff area_under_roc_curve 0.8340079849856465 [0.778697,0.887728,0.969574,0.76066,0.774514,0.956996,0.919177] average_cost 0 f_measure 0.752511651960213 [0.638197,0.781818,0.951407,0.687218,0.612795,0.923077,0.859416] kappa 0.6813066814858912 kb_relative_information_score 0.7223684357130793 mean_absolute_error 0.0708029734304855 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] precision 0.7538936719072492 [0.609977,0.781818,0.951407,0.695586,0.654676,0.929577,0.86631] predictive_accuracy 0.7521895929933023 prior_entropy 2.4106995883230287 recall 0.7521895929933025 [0.669154,0.781818,0.951407,0.679049,0.575949,0.916667,0.852632] relative_absolute_error 0.3184391185546677 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.266088281272373 root_relative_squared_error 0.7981920010702437 total_cost 0 area_under_roc_curve 0.8351506209316056 [0.79197,0.797368,0.962097,0.758396,0.780556,0.9375,0.941687] area_under_roc_curve 0.8252513625869897 [0.745178,0.9,0.983954,0.753144,0.801264,0.928571,0.889023] area_under_roc_curve 0.8782781263680141 [0.811039,1,0.987179,0.855042,0.713132,1,0.941654] area_under_roc_curve 0.7975506353686852 [0.735552,0.994709,0.929446,0.719188,0.670646,0.928571,0.944511] area_under_roc_curve 0.84707484864042 [0.816558,0.897354,0.980728,0.781513,0.679073,0.997326,0.944511] area_under_roc_curve 0.8406297182527634 [0.795292,0.744681,0.961538,0.753966,0.943469,0.994652,0.880451] area_under_roc_curve 0.8030796392743572 [0.753571,0.914007,0.955004,0.704431,0.744382,0.925898,0.912481] area_under_roc_curve 0.8222668055991795 [0.760552,0.914007,0.980728,0.71583,0.795646,1,0.930226] area_under_roc_curve 0.8451272686653591 [0.791558,0.906028,0.993548,0.77988,0.838132,0.857143,0.865564] area_under_roc_curve 0.8452932680626539 [0.785552,0.833333,0.961538,0.783406,0.780447,0.997312,0.941654] 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 0.7488826051529044 [0.651685,0.666667,0.926829,0.68254,0.580645,0.933333,0.894737] f_measure 0.7458731183011333 [0.58427,0.888889,0.974359,0.676692,0.666667,0.923077,0.833333] f_measure 0.8207798158313622 [0.7,1,0.987013,0.805556,0.56,1,0.894737] f_measure 0.706393768710094 [0.582278,0.833333,0.906667,0.638889,0.428571,0.923077,0.918919] f_measure 0.7689738418440206 [0.681818,0.8,0.962025,0.716418,0.48,0.933333,0.918919] f_measure 0.7516659310735535 [0.675,0.545455,0.96,0.677165,0.75,0.875,0.769231] f_measure 0.7036379609986443 [0.590909,0.833333,0.902439,0.609375,0.615385,0.857143,0.842105] f_measure 0.7292077203475046 [0.617284,0.833333,0.962025,0.625,0.625,1,0.809524] f_measure 0.770113175419452 [0.651163,0.666667,0.975,0.712121,0.758621,0.833333,0.823529] f_measure 0.7706349771629015 [0.650602,0.8,0.96,0.716418,0.580645,0.941176,0.894737] kappa 0.678791138602212 kappa 0.6668498420112653 kappa 0.7710278751692297 kappa 0.6172775412729727 kappa 0.7066767465035566 kappa 0.6870441942530667 kappa 0.6231854426497649 kappa 0.6588549592506171 kappa 0.7016404647983596 kappa 0.7023119416217691 kb_relative_information_score 0.7177770897184175 kb_relative_information_score 0.7098341585750703 kb_relative_information_score 0.7937701956530867 kb_relative_information_score 0.6695151682853357 kb_relative_information_score 0.739801914889075 kb_relative_information_score 0.7303751443896739 kb_relative_information_score 0.6756360860944755 kb_relative_information_score 0.7138816128310321 kb_relative_information_score 0.7333235558991423 kb_relative_information_score 0.7399323742687928 mean_absolute_error 0.07179487179487186 mean_absolute_error 0.07363770250368196 mean_absolute_error 0.050073637702503684 mean_absolute_error 0.08394698085419744 mean_absolute_error 0.0648011782032401 mean_absolute_error 0.07069219440353466 mean_absolute_error 0.08394698085419744 mean_absolute_error 0.07658321060382924 mean_absolute_error 0.06627393225331374 mean_absolute_error 0.06627393225331374 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 0.7537400922994143 [0.604167,0.75,0.904762,0.728814,0.5625,1,0.894737] precision 0.7530073650828654 [0.541667,1,0.974359,0.681818,0.714286,1,0.882353] precision 0.8264906251884006 [0.7,1,1,0.763158,0.777778,1,0.894737] precision 0.7118394055453199 [0.589744,0.714286,0.944444,0.605263,0.5,1,0.944444] precision 0.7744363740497763 [0.625,0.8,0.95,0.727273,0.666667,0.875,0.944444] precision 0.7593356242840779 [0.675,0.6,1,0.716667,0.625,0.777778,0.75] precision 0.710623050388252 [0.541667,0.833333,0.860465,0.639344,0.8,0.857143,0.842105] precision 0.7289595277980246 [0.609756,0.833333,0.95,0.655738,0.625,1,0.73913] precision 0.7809106655353006 [0.608696,0.555556,0.95122,0.723077,0.846154,1,0.933333] precision 0.7766231452622606 [0.627907,1,1,0.716418,0.5625,0.888889,0.894737] predictive_accuracy 0.7487179487179487 predictive_accuracy 0.7422680412371134 predictive_accuracy 0.8247422680412372 predictive_accuracy 0.7061855670103092 predictive_accuracy 0.7731958762886597 predictive_accuracy 0.7525773195876289 predictive_accuracy 0.7061855670103092 predictive_accuracy 0.7319587628865979 predictive_accuracy 0.7680412371134021 predictive_accuracy 0.7680412371134021 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 0.7487179487179487 [0.707317,0.6,0.95,0.641791,0.6,0.875,0.894737] recall 0.7422680412371134 [0.634146,0.8,0.974359,0.671642,0.625,0.857143,0.789474] recall 0.8247422680412371 [0.7,1,0.974359,0.852941,0.4375,1,0.894737] recall 0.7061855670103093 [0.575,1,0.871795,0.676471,0.375,0.857143,0.894737] recall 0.7731958762886598 [0.75,0.8,0.974359,0.705882,0.375,1,0.894737] recall 0.7525773195876289 [0.675,0.5,0.923077,0.641791,0.9375,1,0.789474] recall 0.7061855670103093 [0.65,0.833333,0.948718,0.58209,0.5,0.857143,0.842105] recall 0.7319587628865979 [0.625,0.833333,0.974359,0.597015,0.625,1,0.894737] recall 0.7680412371134021 [0.7,0.833333,1,0.701493,0.6875,0.714286,0.736842] recall 0.7680412371134021 [0.675,0.666667,0.923077,0.716418,0.6,1,0.894737] relative_absolute_error 0.3228863984628969 relative_absolute_error 0.3313161824484064 relative_absolute_error 0.22550288041183755 relative_absolute_error 0.3780489465727869 relative_absolute_error 0.2918272570035547 relative_absolute_error 0.31768854943158276 relative_absolute_error 0.37725515245000474 relative_absolute_error 0.3441625952175481 relative_absolute_error 0.29783301509210885 relative_absolute_error 0.2977460157874 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 0.26794565082283356 root_mean_squared_error 0.2713626770646287 root_mean_squared_error 0.2237713960775677 root_mean_squared_error 0.2897360537699743 root_mean_squared_error 0.25456075542636203 root_mean_squared_error 0.26588003761759677 root_mean_squared_error 0.2897360537699743 root_mean_squared_error 0.2767367171226638 root_mean_squared_error 0.2574372394454884 root_mean_squared_error 0.2574372394454884 root_relative_squared_error 0.803729185084912 root_relative_squared_error 0.8143279354496493 root_relative_squared_error 0.6721323647644989 root_relative_squared_error 0.8702675247664012 root_relative_squared_error 0.7646130181073219 root_relative_squared_error 0.7969343523995494 root_relative_squared_error 0.8684390766864167 root_relative_squared_error 0.8294755725983517 root_relative_squared_error 0.7716283687160117 root_relative_squared_error 0.7714030997668557 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 725.1235229996382 usercpu_time_millis 741.7539679954643 usercpu_time_millis 650.7153540005675 usercpu_time_millis 643.2885590038495 usercpu_time_millis 588.260114993318 usercpu_time_millis 641.9001780013787 usercpu_time_millis 650.5787889982457 usercpu_time_millis 602.2717870000633 usercpu_time_millis 689.4370189984329 usercpu_time_millis 637.8354420012329 usercpu_time_millis_testing 11.633011999947485 usercpu_time_millis_testing 11.12401199497981 usercpu_time_millis_testing 11.338290001731366 usercpu_time_millis_testing 11.121531002572738 usercpu_time_millis_testing 11.021943995729089 usercpu_time_millis_testing 11.306421001791023 usercpu_time_millis_testing 10.921344000962563 usercpu_time_millis_testing 11.073687004682142 usercpu_time_millis_testing 11.165527001139708 usercpu_time_millis_testing 11.117811998701654 usercpu_time_millis_training 713.4905109996907 usercpu_time_millis_training 730.6299560004845 usercpu_time_millis_training 639.3770639988361 usercpu_time_millis_training 632.1670280012768 usercpu_time_millis_training 577.2381709975889 usercpu_time_millis_training 630.5937569995876 usercpu_time_millis_training 639.6574449972832 usercpu_time_millis_training 591.1980999953812 usercpu_time_millis_training 678.2714919972932 usercpu_time_millis_training 626.7176300025312 wall_clock_time_millis 813.2383823394775 wall_clock_time_millis 741.8172359466553 wall_clock_time_millis 650.8104801177979 wall_clock_time_millis 655.3912162780762 wall_clock_time_millis 660.5026721954346 wall_clock_time_millis 669.9874401092529 wall_clock_time_millis 710.6516361236572 wall_clock_time_millis 634.331464767456 wall_clock_time_millis 689.4996166229248 wall_clock_time_millis 637.9077434539795 wall_clock_time_millis_testing 11.64698600769043 wall_clock_time_millis_testing 11.132478713989258 wall_clock_time_millis_testing 11.346817016601562 wall_clock_time_millis_testing 23.131847381591797 wall_clock_time_millis_testing 11.034488677978516 wall_clock_time_millis_testing 11.318683624267578 wall_clock_time_millis_testing 10.93435287475586 wall_clock_time_millis_testing 11.086463928222656 wall_clock_time_millis_testing 11.175394058227539 wall_clock_time_millis_testing 11.128664016723633 wall_clock_time_millis_training 801.5913963317871 wall_clock_time_millis_training 730.684757232666 wall_clock_time_millis_training 639.4636631011963 wall_clock_time_millis_training 632.2593688964844 wall_clock_time_millis_training 649.468183517456 wall_clock_time_millis_training 658.6687564849854 wall_clock_time_millis_training 699.7172832489014 wall_clock_time_millis_training 623.2450008392334 wall_clock_time_millis_training 678.3242225646973 wall_clock_time_millis_training 626.7790794372559