10327827 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) 8183480 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 15166.498096109495 13389 cache_size 200 13389 class_weight null 13389 coef0 0.6657712802767766 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 0.04496747764690361 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 8618 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 21577340 description https://api.openml.org/data/download/21577340/description.xml -1 21577341 predictions https://api.openml.org/data/download/21577341/predictions.arff area_under_roc_curve 0.8237707569230444 [0.777935,0.897349,0.958019,0.745195,0.756448,0.948714,0.91014] average_cost 0 f_measure 0.7334213845182117 [0.633918,0.807339,0.925599,0.666154,0.573333,0.884354,0.84127] kappa 0.6592994649786916 kb_relative_information_score 0.703510554325625 mean_absolute_error 0.0759549569441381 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] precision 0.7345756660613628 [0.598234,0.814815,0.912935,0.69059,0.605634,0.866667,0.845745] predictive_accuracy 0.7341576506955179 prior_entropy 2.4106995883230287 recall 0.7341576506955177 [0.674129,0.8,0.938619,0.643388,0.544304,0.902778,0.836842] relative_absolute_error 0.3416103641875429 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.2755992687656085 root_relative_squared_error 0.826722359878525 total_cost 0 area_under_roc_curve 0.8229650333985011 [0.809867,1,0.946371,0.728195,0.719444,0.9375,0.91253] area_under_roc_curve 0.8070272495120678 [0.718396,0.9,0.945409,0.741744,0.755969,1,0.89188] area_under_roc_curve 0.8724484005382882 [0.816558,1,0.987179,0.833567,0.713132,1,0.947368] area_under_roc_curve 0.8158771180626926 [0.776299,0.997354,0.945409,0.73226,0.730337,0.928571,0.915338] area_under_roc_curve 0.8315479515986947 [0.829058,0.897354,0.95823,0.737395,0.738764,1,0.912481] area_under_roc_curve 0.817903343218808 [0.769805,0.661348,0.955087,0.749618,0.727528,0.994652,0.938797] area_under_roc_curve 0.8056419214816953 [0.738312,0.916667,0.955004,0.738218,0.704705,0.92055,0.886165] area_under_roc_curve 0.8002081799509561 [0.679058,0.916667,0.964682,0.696968,0.826896,0.994652,0.950827] area_under_roc_curve 0.8182514938164799 [0.809578,0.989362,0.967907,0.739041,0.801264,0.714286,0.807218] area_under_roc_curve 0.8456965908577704 [0.832792,0.744681,0.955087,0.753966,0.849907,0.991935,0.938797] 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 0.7310530192481411 [0.666667,1,0.902439,0.64,0.518519,0.933333,0.842105] f_measure 0.7131673484504489 [0.554217,0.888889,0.9,0.661654,0.529412,1,0.857143] f_measure 0.8138560284279691 [0.681818,1,0.987013,0.782609,0.56,1,0.944444] f_measure 0.7257857125111312 [0.641975,0.909091,0.9,0.651852,0.516129,0.923077,0.864865] f_measure 0.7436219345969722 [0.696629,0.8,0.91358,0.65625,0.571429,1,0.842105] f_measure 0.7197139669241067 [0.626506,0.4,0.935065,0.671756,0.5,0.875,0.871795] f_measure 0.7032079162684526 [0.578313,0.909091,0.902439,0.656489,0.5,0.75,0.810811] f_measure 0.689755699072518 [0.493506,0.909091,0.936709,0.598425,0.666667,0.875,0.8] f_measure 0.7208025491259987 [0.652632,0.75,0.948718,0.656,0.666667,0.6,0.705882] f_measure 0.7610280711360069 [0.722892,0.545455,0.935065,0.677165,0.6875,0.842105,0.871795] kappa 0.6586433260393872 kappa 0.6283524904214559 kappa 0.7586147305844537 kappa 0.6477198752869427 kappa 0.6759060379802939 kappa 0.6439520103320532 kappa 0.622902741781476 kappa 0.6148332604233266 kappa 0.6441455212473249 kappa 0.6991335423620242 kb_relative_information_score 0.7081894896866209 kb_relative_information_score 0.6794101213285341 kb_relative_information_score 0.7865521077621013 kb_relative_information_score 0.6969806339392995 kb_relative_information_score 0.7206484959233599 kb_relative_information_score 0.677525973035313 kb_relative_information_score 0.6673718429893372 kb_relative_information_score 0.6811960458768668 kb_relative_information_score 0.6790194036847825 kb_relative_information_score 0.7386915869514776 mean_absolute_error 0.07619047619047627 mean_absolute_error 0.0824742268041238 mean_absolute_error 0.05301914580265097 mean_absolute_error 0.07805596465390288 mean_absolute_error 0.07216494845360831 mean_absolute_error 0.07952871870397651 mean_absolute_error 0.08394698085419744 mean_absolute_error 0.0868924889543447 mean_absolute_error 0.07952871870397651 mean_absolute_error 0.06774668630338739 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 0.7366015358057799 [0.596154,1,0.880952,0.689655,0.583333,1,0.842105] precision 0.717399227103464 [0.547619,1,0.878049,0.666667,0.5,1,0.9375] precision 0.8242349860906563 [0.625,1,1,0.771429,0.777778,1,1] precision 0.7260585639400016 [0.634146,0.833333,0.878049,0.656716,0.533333,1,0.888889] precision 0.747061505014377 [0.632653,0.8,0.880952,0.7,0.666667,1,0.842105] precision 0.7205688627686855 [0.604651,0.5,0.947368,0.6875,0.5,0.777778,0.85] precision 0.7048076250699273 [0.55814,1,0.860465,0.671875,0.583333,0.666667,0.833333] precision 0.6907221940651292 [0.513514,1,0.925,0.633333,0.647059,0.777778,0.692308] precision 0.7429695615440371 [0.563636,0.6,0.948718,0.706897,0.714286,1,0.8] precision 0.7636344123867441 [0.697674,0.6,0.947368,0.716667,0.647059,0.727273,0.85] predictive_accuracy 0.7333333333333333 predictive_accuracy 0.711340206185567 predictive_accuracy 0.8144329896907216 predictive_accuracy 0.7268041237113403 predictive_accuracy 0.7474226804123711 predictive_accuracy 0.7216494845360825 predictive_accuracy 0.7061855670103092 predictive_accuracy 0.6958762886597938 predictive_accuracy 0.7216494845360825 predictive_accuracy 0.7628865979381443 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 [0.756098,1,0.925,0.597015,0.466667,0.875,0.842105] recall 0.711340206185567 [0.560976,0.8,0.923077,0.656716,0.5625,1,0.789474] recall 0.8144329896907216 [0.75,1,0.974359,0.794118,0.4375,1,0.894737] recall 0.7268041237113402 [0.65,1,0.923077,0.647059,0.5,0.857143,0.842105] recall 0.7474226804123711 [0.775,0.8,0.948718,0.617647,0.5,1,0.842105] recall 0.7216494845360825 [0.65,0.333333,0.923077,0.656716,0.5,1,0.894737] recall 0.7061855670103093 [0.6,0.833333,0.948718,0.641791,0.4375,0.857143,0.789474] recall 0.6958762886597938 [0.475,0.833333,0.948718,0.567164,0.6875,1,0.947368] recall 0.7216494845360825 [0.775,1,0.948718,0.61194,0.625,0.428571,0.631579] recall 0.7628865979381443 [0.75,0.5,0.923077,0.641791,0.733333,1,0.894737] relative_absolute_error 0.3426549534708294 relative_absolute_error 0.3710741243422152 relative_absolute_error 0.238767755730181 relative_absolute_error 0.3515191959361001 relative_absolute_error 0.32498944529941326 relative_absolute_error 0.3573996181105308 relative_absolute_error 0.37725515245000474 relative_absolute_error 0.39049217534298725 relative_absolute_error 0.3573996181105308 relative_absolute_error 0.30436259391600895 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 0.28718326344709544 root_mean_squared_error 0.2302588669360009 root_mean_squared_error 0.27938497571255133 root_mean_squared_error 0.2686353447586678 root_mean_squared_error 0.28200836637230553 root_mean_squared_error 0.2897360537699743 root_mean_squared_error 0.29477531944575125 root_mean_squared_error 0.28200836637230553 root_mean_squared_error 0.2602819361834151 root_relative_squared_error 0.827967653831582 root_relative_squared_error 0.8618036811409727 root_relative_squared_error 0.6916184975136014 root_relative_squared_error 0.8391764438930177 root_relative_squared_error 0.8068882470992018 root_relative_squared_error 0.8452765271133467 root_relative_squared_error 0.8684390766864167 root_relative_squared_error 0.8835434973261889 root_relative_squared_error 0.8452765271133467 root_relative_squared_error 0.7799271496916452 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 406.70280899939826 usercpu_time_millis 376.43674699938856 usercpu_time_millis 380.96905600104947 usercpu_time_millis 367.62001600436633 usercpu_time_millis 375.8572090009693 usercpu_time_millis 381.18088000192074 usercpu_time_millis 383.2229610052309 usercpu_time_millis 390.83990300423466 usercpu_time_millis 375.60256400320213 usercpu_time_millis 375.13509100244846 usercpu_time_millis_testing 18.091113997797947 usercpu_time_millis_testing 17.5308510006289 usercpu_time_millis_testing 18.339988004299812 usercpu_time_millis_testing 20.24172399978852 usercpu_time_millis_testing 17.702978999295738 usercpu_time_millis_testing 17.73194700217573 usercpu_time_millis_testing 17.56793400272727 usercpu_time_millis_testing 17.7047120014322 usercpu_time_millis_testing 17.737532005412504 usercpu_time_millis_testing 18.024523997155484 usercpu_time_millis_training 388.6116950016003 usercpu_time_millis_training 358.90589599875966 usercpu_time_millis_training 362.62906799674965 usercpu_time_millis_training 347.3782920045778 usercpu_time_millis_training 358.15423000167357 usercpu_time_millis_training 363.448932999745 usercpu_time_millis_training 365.65502700250363 usercpu_time_millis_training 373.13519100280246 usercpu_time_millis_training 357.86503199778963 usercpu_time_millis_training 357.110567005293 wall_clock_time_millis 474.780797958374 wall_clock_time_millis 376.492977142334 wall_clock_time_millis 381.0751438140869 wall_clock_time_millis 367.6724433898926 wall_clock_time_millis 375.8995532989502 wall_clock_time_millis 381.2699317932129 wall_clock_time_millis 383.26406478881836 wall_clock_time_millis 390.89512825012207 wall_clock_time_millis 375.6730556488037 wall_clock_time_millis 375.1797676086426 wall_clock_time_millis_testing 18.10145378112793 wall_clock_time_millis_testing 17.541170120239258 wall_clock_time_millis_testing 18.353939056396484 wall_clock_time_millis_testing 20.25461196899414 wall_clock_time_millis_testing 17.714262008666992 wall_clock_time_millis_testing 17.743349075317383 wall_clock_time_millis_testing 17.579078674316406 wall_clock_time_millis_testing 17.72928237915039 wall_clock_time_millis_testing 17.751216888427734 wall_clock_time_millis_testing 18.03874969482422 wall_clock_time_millis_training 456.6793441772461 wall_clock_time_millis_training 358.9518070220947 wall_clock_time_millis_training 362.72120475769043 wall_clock_time_millis_training 347.41783142089844 wall_clock_time_millis_training 358.1852912902832 wall_clock_time_millis_training 363.5265827178955 wall_clock_time_millis_training 365.68498611450195 wall_clock_time_millis_training 373.1658458709717 wall_clock_time_millis_training 357.921838760376 wall_clock_time_millis_training 357.14101791381836