10327784 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) 8183437 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 73.15153484301855 13389 cache_size 200 13389 class_weight null 13389 coef0 0.5428573815911459 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.037758991593650544 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 8348 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 21577254 description https://api.openml.org/data/download/21577254/description.xml -1 21577255 predictions https://api.openml.org/data/download/21577255/predictions.arff area_under_roc_curve 0.8277329220260731 [0.784099,0.906175,0.968583,0.747699,0.757289,0.947911,0.90402] average_cost 0 f_measure 0.7375956466576872 [0.640462,0.810811,0.940881,0.669261,0.579125,0.866667,0.828496] kappa 0.6658388079649651 kb_relative_information_score 0.7090325518208849 mean_absolute_error 0.07463016118348458 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] precision 0.7393677152562806 [0.598272,0.803571,0.925743,0.702614,0.618705,0.833333,0.830688] predictive_accuracy 0.7387944358578052 prior_entropy 2.4106995883230287 recall 0.7387944358578052 [0.689055,0.818182,0.956522,0.63893,0.544304,0.902778,0.826316] relative_absolute_error 0.3356520438819464 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.2731852140645327 root_relative_squared_error 0.8194808566325693 total_cost 0 area_under_roc_curve 0.8227745121142299 [0.804165,1,0.958871,0.731751,0.716667,0.9375,0.886214] area_under_roc_curve 0.813592239364212 [0.74191,0.9,0.983871,0.731578,0.727528,1,0.889023] area_under_roc_curve 0.8591776513124829 [0.822565,1,0.987179,0.800187,0.741573,1,0.894737] area_under_roc_curve 0.8198244252358062 [0.773052,0.997354,0.948635,0.721522,0.792837,0.928571,0.941654] area_under_roc_curve 0.8261655562162994 [0.822565,0.897354,0.97105,0.726657,0.707514,1,0.909624] area_under_roc_curve 0.8384818485455682 [0.785552,0.744681,0.983954,0.754378,0.792837,0.991979,0.959398] area_under_roc_curve 0.8081293192129477 [0.716558,0.916667,0.95823,0.749207,0.738764,0.92055,0.883308] area_under_roc_curve 0.8072679184279904 [0.685552,0.914007,0.980728,0.711893,0.795646,0.994652,0.950827] area_under_roc_curve 0.8246078800649301 [0.843831,0.989362,0.955087,0.750441,0.772823,0.714286,0.810075] area_under_roc_curve 0.8570705079179219 [0.845292,0.744681,0.958313,0.799154,0.786034,0.986559,0.915338] 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 0.7312397638419837 [0.666667,1,0.915663,0.645669,0.5,0.933333,0.810811] f_measure 0.7156859563294748 [0.577778,0.888889,0.939759,0.645161,0.5,1,0.833333] f_measure 0.7956845952600954 [0.681319,1,0.987013,0.740741,0.592593,1,0.882353] f_measure 0.7313755022303863 [0.634146,0.909091,0.911392,0.636364,0.606061,0.923077,0.894737] f_measure 0.7309542711453699 [0.681319,0.8,0.926829,0.64,0.518519,1,0.820513] f_measure 0.7444912901932985 [0.650602,0.545455,0.974359,0.677419,0.606061,0.823529,0.857143] f_measure 0.7086444960156301 [0.55,0.909091,0.91358,0.671642,0.571429,0.75,0.789474] f_measure 0.6992837196151446 [0.506667,0.833333,0.962025,0.620155,0.625,0.875,0.8] f_measure 0.7307741033308044 [0.686869,0.75,0.935065,0.672,0.642857,0.6,0.727273] f_measure 0.7786538332462332 [0.738095,0.545455,0.947368,0.738462,0.62069,0.761905,0.864865] kappa 0.6581023669836131 kappa 0.6376171715799483 kappa 0.7326258484650104 kappa 0.6561573332424417 kappa 0.6636181280386224 kappa 0.6806530721940404 kappa 0.628746198270854 kappa 0.6273379840258821 kappa 0.6565085634512581 kappa 0.7174693490482965 kb_relative_information_score 0.7053669486741075 kb_relative_information_score 0.6867478839770501 kb_relative_information_score 0.7667281645222407 kb_relative_information_score 0.7113454880696959 kb_relative_information_score 0.7090740338712734 kb_relative_information_score 0.7195879431207601 kb_relative_information_score 0.6733625451039049 kb_relative_information_score 0.6879899903317492 kb_relative_information_score 0.6866752947298668 kb_relative_information_score 0.7436930472083213 mean_absolute_error 0.07619047619047627 mean_absolute_error 0.08100147275405016 mean_absolute_error 0.058910162002945535 mean_absolute_error 0.07658321060382924 mean_absolute_error 0.07511045655375559 mean_absolute_error 0.07216494845360831 mean_absolute_error 0.0824742268041238 mean_absolute_error 0.08394698085419744 mean_absolute_error 0.07658321060382924 mean_absolute_error 0.06332842415316646 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 0.7340741936883005 [0.612245,1,0.883721,0.683333,0.538462,1,0.833333] precision 0.7221934721701042 [0.530612,1,0.886364,0.701754,0.5,1,0.882353] precision 0.807713184449877 [0.607843,1,1,0.746269,0.727273,1,1] precision 0.7322955470848134 [0.619048,0.833333,0.9,0.65625,0.588235,1,0.894737] precision 0.7364946298798869 [0.607843,0.8,0.883721,0.701754,0.636364,1,0.8] precision 0.748793969307591 [0.627907,0.6,0.974359,0.736842,0.588235,0.7,0.782609] precision 0.7097447226313206 [0.55,1,0.880952,0.671642,0.666667,0.666667,0.789474] precision 0.6989091895061299 [0.542857,0.833333,0.95,0.645161,0.625,0.777778,0.692308] precision 0.7597998533180638 [0.576271,0.6,0.947368,0.724138,0.75,1,0.857143] precision 0.7846917841763204 [0.704545,0.6,0.972973,0.761905,0.642857,0.615385,0.888889] predictive_accuracy 0.7333333333333333 predictive_accuracy 0.7164948453608246 predictive_accuracy 0.7938144329896908 predictive_accuracy 0.7319587628865979 predictive_accuracy 0.7371134020618557 predictive_accuracy 0.7474226804123711 predictive_accuracy 0.711340206185567 predictive_accuracy 0.7061855670103092 predictive_accuracy 0.7319587628865979 predictive_accuracy 0.7783505154639175 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 0.7333333333333333 [0.731707,1,0.95,0.61194,0.466667,0.875,0.789474] recall 0.7164948453608248 [0.634146,0.8,1,0.597015,0.5,1,0.789474] recall 0.7938144329896907 [0.775,1,0.974359,0.735294,0.5,1,0.789474] recall 0.7319587628865979 [0.65,1,0.923077,0.617647,0.625,0.857143,0.894737] recall 0.7371134020618557 [0.775,0.8,0.974359,0.588235,0.4375,1,0.842105] recall 0.7474226804123711 [0.675,0.5,0.974359,0.626866,0.625,1,0.947368] recall 0.711340206185567 [0.55,0.833333,0.948718,0.671642,0.5,0.857143,0.789474] recall 0.7061855670103093 [0.475,0.833333,0.974359,0.597015,0.625,1,0.947368] recall 0.7319587628865979 [0.85,1,0.923077,0.626866,0.5625,0.428571,0.631579] recall 0.7783505154639175 [0.775,0.5,0.923077,0.716418,0.6,1,0.842105] relative_absolute_error 0.3426549534708294 relative_absolute_error 0.36444780069324706 relative_absolute_error 0.26529750636686783 relative_absolute_error 0.3448867582769284 relative_absolute_error 0.3382543206177566 relative_absolute_error 0.32430706087807415 relative_absolute_error 0.37063664100351346 relative_absolute_error 0.37725515245000474 relative_absolute_error 0.3441625952175481 relative_absolute_error 0.28451285953018224 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 0.2760262237369418 root_mean_squared_error 0.28460757676852205 root_mean_squared_error 0.24271415698913307 root_mean_squared_error 0.2767367171226638 root_mean_squared_error 0.2740628697101371 root_mean_squared_error 0.2686353447586678 root_mean_squared_error 0.28718326344709544 root_mean_squared_error 0.2897360537699743 root_mean_squared_error 0.2767367171226638 root_mean_squared_error 0.25165139410137677 root_relative_squared_error 0.827967653831582 root_relative_squared_error 0.8540743440117246 root_relative_squared_error 0.7290299080154939 root_relative_squared_error 0.8312219852815516 root_relative_squared_error 0.8231906666416212 root_relative_squared_error 0.8051929600475948 root_relative_squared_error 0.8607874819258455 root_relative_squared_error 0.8684390766864167 root_relative_squared_error 0.8294755725983517 root_relative_squared_error 0.7540659847370605 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 323.6658220048412 usercpu_time_millis 317.4935019997065 usercpu_time_millis 329.82814400747884 usercpu_time_millis 311.44180000410415 usercpu_time_millis 306.31643300148426 usercpu_time_millis 308.6603650008328 usercpu_time_millis 290.1874390008743 usercpu_time_millis 308.78853399917716 usercpu_time_millis 302.4416900007054 usercpu_time_millis 308.1989819984301 usercpu_time_millis_testing 11.554902004718315 usercpu_time_millis_testing 11.280623002676293 usercpu_time_millis_testing 11.792077006248292 usercpu_time_millis_testing 11.144254000100773 usercpu_time_millis_testing 11.149901001772378 usercpu_time_millis_testing 11.127590005344246 usercpu_time_millis_testing 10.997893004969228 usercpu_time_millis_testing 11.147469995194115 usercpu_time_millis_testing 11.172567996254656 usercpu_time_millis_testing 11.098861999926157 usercpu_time_millis_training 312.11092000012286 usercpu_time_millis_training 306.2128789970302 usercpu_time_millis_training 318.03606700123055 usercpu_time_millis_training 300.2975460040034 usercpu_time_millis_training 295.1665319997119 usercpu_time_millis_training 297.5327749954886 usercpu_time_millis_training 279.18954599590506 usercpu_time_millis_training 297.64106400398305 usercpu_time_millis_training 291.26912200445076 usercpu_time_millis_training 297.10011999850394 wall_clock_time_millis 351.7603874206543 wall_clock_time_millis 333.5607051849365 wall_clock_time_millis 329.880952835083 wall_clock_time_millis 331.4692974090576 wall_clock_time_millis 310.3663921356201 wall_clock_time_millis 308.7010383605957 wall_clock_time_millis 290.35067558288574 wall_clock_time_millis 308.8397979736328 wall_clock_time_millis 302.4790287017822 wall_clock_time_millis 308.2389831542969 wall_clock_time_millis_testing 11.565685272216797 wall_clock_time_millis_testing 11.29150390625 wall_clock_time_millis_testing 11.802434921264648 wall_clock_time_millis_testing 11.156320571899414 wall_clock_time_millis_testing 11.16323471069336 wall_clock_time_millis_testing 11.141300201416016 wall_clock_time_millis_testing 11.01064682006836 wall_clock_time_millis_testing 11.159420013427734 wall_clock_time_millis_testing 11.186361312866211 wall_clock_time_millis_testing 11.111259460449219 wall_clock_time_millis_training 340.1947021484375 wall_clock_time_millis_training 322.2692012786865 wall_clock_time_millis_training 318.07851791381836 wall_clock_time_millis_training 320.3129768371582 wall_clock_time_millis_training 299.20315742492676 wall_clock_time_millis_training 297.5597381591797 wall_clock_time_millis_training 279.3400287628174 wall_clock_time_millis_training 297.6803779602051 wall_clock_time_millis_training 291.292667388916 wall_clock_time_millis_training 297.12772369384766