10327875 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) 8183528 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 1091.7044234294376 13389 cache_size 200 13389 class_weight null 13389 coef0 0.22557986981301337 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.0014491159214531093 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 57905 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 21577436 description https://api.openml.org/data/download/21577436/description.xml -1 21577437 predictions https://api.openml.org/data/download/21577437/predictions.arff area_under_roc_curve 0.8330583021050577 [0.784646,0.879167,0.96416,0.761826,0.757209,0.964208,0.918035] average_cost 0 f_measure 0.7533768406198367 [0.646919,0.785047,0.951886,0.68884,0.596491,0.937063,0.850394] kappa 0.6809348941843426 kb_relative_information_score 0.7204674889623957 mean_absolute_error 0.070655773901524 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] precision 0.7559767971471072 [0.617647,0.807692,0.968254,0.685294,0.669291,0.943662,0.848168] predictive_accuracy 0.7527047913446677 prior_entropy 2.4106995883230287 recall 0.7527047913446677 [0.679104,0.763636,0.936061,0.692422,0.537975,0.930556,0.852632] relative_absolute_error 0.317777082965157 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.2658115383152582 root_relative_squared_error 0.797361847958407 total_cost 0 area_under_roc_curve 0.8368868487966005 [0.804957,0.794737,0.952823,0.78399,0.719444,0.9375,0.909689] area_under_roc_curve 0.8279914810864949 [0.736251,0.9,0.987179,0.749207,0.801264,0.997326,0.918195] area_under_roc_curve 0.8367918348817226 [0.776299,0.9,0.974359,0.793884,0.650632,1,0.915338] area_under_roc_curve 0.807342044340957 [0.773052,0.997354,0.919851,0.730509,0.673455,0.928571,0.941654] area_under_roc_curve 0.8672842161932413 [0.854545,0.894709,0.983954,0.800187,0.710323,1,0.970827] area_under_roc_curve 0.8359361113929135 [0.788799,0.75,0.961538,0.757081,0.917837,0.997326,0.854135] area_under_roc_curve 0.8129972116062186 [0.797078,0.914007,0.951778,0.716653,0.684691,0.925898,0.93594] area_under_roc_curve 0.8291561829851138 [0.751299,0.914007,0.974359,0.738218,0.792837,1,0.956541] area_under_roc_curve 0.8413885632947133 [0.788312,0.908688,0.974359,0.775943,0.866573,0.857143,0.862707] area_under_roc_curve 0.8344415741180995 [0.776299,0.833333,0.961538,0.771183,0.7527,0.997312,0.915338] 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 0.7528751724226836 [0.682353,0.6,0.925,0.716418,0.518519,0.933333,0.820513] f_measure 0.7504642176167239 [0.574713,0.888889,0.987013,0.671642,0.666667,0.933333,0.888889] f_measure 0.7634418391434755 [0.641975,0.888889,0.973684,0.72973,0.434783,1,0.864865] f_measure 0.7223356733924349 [0.634146,0.909091,0.90411,0.652778,0.444444,0.923077,0.894737] f_measure 0.8009771158896068 [0.744186,0.727273,0.974359,0.740741,0.538462,1,0.947368] f_measure 0.7531171290613082 [0.658537,0.666667,0.96,0.681818,0.756757,0.933333,0.736842] f_measure 0.7089614960616275 [0.638298,0.833333,0.891566,0.622951,0.521739,0.857143,0.85] f_measure 0.7415781491982679 [0.607595,0.833333,0.973684,0.656489,0.606061,1,0.837209] f_measure 0.7669089613360602 [0.643678,0.714286,0.973684,0.706767,0.774194,0.833333,0.8] f_measure 0.7595478614136386 [0.641975,0.8,0.96,0.7,0.571429,0.941176,0.864865] kappa 0.6826150350954528 kappa 0.6739607627932501 kappa 0.6946484784889821 kappa 0.6369181714206494 kappa 0.7468319653834267 kappa 0.683545164140556 kappa 0.638047423589674 kappa 0.671542733306244 kappa 0.6950519409513395 kappa 0.6863217283610843 kb_relative_information_score 0.7116179753884766 kb_relative_information_score 0.7220264086211238 kb_relative_information_score 0.7238165145175988 kb_relative_information_score 0.6852592866219126 kb_relative_information_score 0.7757610612870232 kb_relative_information_score 0.7240879644727457 kb_relative_information_score 0.6848239059154966 kb_relative_information_score 0.7238705574166251 kb_relative_information_score 0.7300477492354045 kb_relative_information_score 0.7235559447140006 mean_absolute_error 0.07032967032967039 mean_absolute_error 0.07216494845360831 mean_absolute_error 0.06627393225331374 mean_absolute_error 0.07952871870397651 mean_absolute_error 0.055964653902798256 mean_absolute_error 0.07069219440353466 mean_absolute_error 0.08100147275405016 mean_absolute_error 0.07363770250368196 mean_absolute_error 0.06774668630338739 mean_absolute_error 0.06921944035346103 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 0.7537062937062935 [0.659091,0.6,0.925,0.716418,0.583333,1,0.8] precision 0.756281098275258 [0.543478,1,1,0.671642,0.714286,0.875,0.941176] precision 0.7762026493608087 [0.634146,1,1,0.675,0.714286,1,0.888889] precision 0.7296980253157841 [0.619048,0.833333,0.970588,0.618421,0.545455,1,0.894737] precision 0.8046684997245953 [0.695652,0.666667,0.974359,0.746269,0.7,1,0.947368] precision 0.7623225142555039 [0.642857,1,1,0.692308,0.666667,0.875,0.736842] precision 0.7288856904836286 [0.555556,0.833333,0.840909,0.690909,0.857143,0.857143,0.809524] precision 0.7437771872230255 [0.615385,0.833333,1,0.671875,0.588235,1,0.75] precision 0.7768912806503286 [0.595745,0.625,1,0.712121,0.8,1,0.875] precision 0.7658207506651126 [0.634146,1,1,0.671233,0.615385,0.888889,0.888889] predictive_accuracy 0.7538461538461538 predictive_accuracy 0.7474226804123711 predictive_accuracy 0.7680412371134021 predictive_accuracy 0.7216494845360825 predictive_accuracy 0.8041237113402062 predictive_accuracy 0.7525773195876289 predictive_accuracy 0.7164948453608246 predictive_accuracy 0.7422680412371134 predictive_accuracy 0.7628865979381443 predictive_accuracy 0.7577319587628866 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 0.7538461538461538 [0.707317,0.6,0.925,0.716418,0.466667,0.875,0.842105] recall 0.7474226804123711 [0.609756,0.8,0.974359,0.671642,0.625,1,0.842105] recall 0.7680412371134021 [0.65,0.8,0.948718,0.794118,0.3125,1,0.842105] recall 0.7216494845360825 [0.65,1,0.846154,0.691176,0.375,0.857143,0.894737] recall 0.8041237113402062 [0.8,0.8,0.974359,0.735294,0.4375,1,0.947368] recall 0.7525773195876289 [0.675,0.5,0.923077,0.671642,0.875,1,0.736842] recall 0.7164948453608248 [0.75,0.833333,0.948718,0.567164,0.375,0.857143,0.894737] recall 0.7422680412371134 [0.6,0.833333,0.948718,0.641791,0.625,1,0.947368] recall 0.7628865979381443 [0.7,0.833333,0.948718,0.701493,0.75,0.714286,0.736842] recall 0.7577319587628866 [0.65,0.666667,0.923077,0.731343,0.533333,1,0.842105] relative_absolute_error 0.31629688012691937 relative_absolute_error 0.32468985879943824 relative_absolute_error 0.29845969466272637 relative_absolute_error 0.35815163359527175 relative_absolute_error 0.2520326310485244 relative_absolute_error 0.31768854943158276 relative_absolute_error 0.36401812955702206 relative_absolute_error 0.3309255723245655 relative_absolute_error 0.3044515265386002 relative_absolute_error 0.31097917204461784 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 0.2651974176527184 root_mean_squared_error 0.2686353447586678 root_mean_squared_error 0.2574372394454884 root_mean_squared_error 0.28200836637230553 root_mean_squared_error 0.23656849727467572 root_mean_squared_error 0.26588003761759677 root_mean_squared_error 0.28460757676852205 root_mean_squared_error 0.2713626770646287 root_mean_squared_error 0.2602819361834151 root_mean_squared_error 0.2630958767321545 root_relative_squared_error 0.795485590910284 root_relative_squared_error 0.8061435273725235 root_relative_squared_error 0.7732529874683413 root_relative_squared_error 0.8470562077893401 root_relative_squared_error 0.7105704584642015 root_relative_squared_error 0.7969343523995494 root_relative_squared_error 0.8530672588750075 root_relative_squared_error 0.8133677174476045 root_relative_squared_error 0.7801549078760268 root_relative_squared_error 0.7883590396021057 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 164.50422800699016 usercpu_time_millis 161.45569499349222 usercpu_time_millis 160.1066669973079 usercpu_time_millis 160.09599399694707 usercpu_time_millis 162.09024299314478 usercpu_time_millis 163.77225999895018 usercpu_time_millis 161.68947800179012 usercpu_time_millis 159.16581000055885 usercpu_time_millis 160.13007400761126 usercpu_time_millis 161.19321800215403 usercpu_time_millis_testing 11.945007005124353 usercpu_time_millis_testing 11.794289996032603 usercpu_time_millis_testing 11.975339999480639 usercpu_time_millis_testing 11.745882999093737 usercpu_time_millis_testing 12.032551996526308 usercpu_time_millis_testing 11.741292000806425 usercpu_time_millis_testing 11.47569999739062 usercpu_time_millis_testing 11.655689995677676 usercpu_time_millis_testing 11.646616003417876 usercpu_time_millis_testing 11.825254005088937 usercpu_time_millis_training 152.5592210018658 usercpu_time_millis_training 149.6614049974596 usercpu_time_millis_training 148.13132699782727 usercpu_time_millis_training 148.35011099785333 usercpu_time_millis_training 150.05769099661848 usercpu_time_millis_training 152.03096799814375 usercpu_time_millis_training 150.2137780043995 usercpu_time_millis_training 147.51012000488117 usercpu_time_millis_training 148.48345800419338 usercpu_time_millis_training 149.3679639970651 wall_clock_time_millis 212.52751350402832 wall_clock_time_millis 161.48614883422852 wall_clock_time_millis 160.15219688415527 wall_clock_time_millis 160.1548194885254 wall_clock_time_millis 162.27483749389648 wall_clock_time_millis 195.79672813415527 wall_clock_time_millis 161.726713180542 wall_clock_time_millis 159.20305252075195 wall_clock_time_millis 160.20631790161133 wall_clock_time_millis 161.2222194671631 wall_clock_time_millis_testing 11.956930160522461 wall_clock_time_millis_testing 11.807680130004883 wall_clock_time_millis_testing 11.989116668701172 wall_clock_time_millis_testing 11.758089065551758 wall_clock_time_millis_testing 12.047529220581055 wall_clock_time_millis_testing 11.750936508178711 wall_clock_time_millis_testing 11.486291885375977 wall_clock_time_millis_testing 11.667490005493164 wall_clock_time_millis_testing 11.656522750854492 wall_clock_time_millis_testing 11.837482452392578 wall_clock_time_millis_training 200.57058334350586 wall_clock_time_millis_training 149.67846870422363 wall_clock_time_millis_training 148.1630802154541 wall_clock_time_millis_training 148.39673042297363 wall_clock_time_millis_training 150.22730827331543 wall_clock_time_millis_training 184.04579162597656 wall_clock_time_millis_training 150.24042129516602 wall_clock_time_millis_training 147.5355625152588 wall_clock_time_millis_training 148.54979515075684 wall_clock_time_millis_training 149.3847370147705