10327850 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) 8183503 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 872.5432069179835 13389 cache_size 200 13389 class_weight null 13389 coef0 0.1641429342096863 13389 decision_function_shape "ovr" 13389 degree 2 13389 gamma 4.843258252955024e-05 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 55067 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 21577386 description https://api.openml.org/data/download/21577386/description.xml -1 21577387 predictions https://api.openml.org/data/download/21577387/predictions.arff area_under_roc_curve 0.8069349663562713 [0.759873,0.661781,0.952305,0.732452,0.725204,0.963405,0.92187] average_cost 0 f_measure 0.7150536721184639 [0.609727,0.45,0.931258,0.651799,0.560606,0.917808,0.845361] kappa 0.6322959192300088 kb_relative_information_score 0.667879685663746 mean_absolute_error 0.08081254139986771 mean_prior_absolute_error 0.2223438305942003 number_of_instances 1941 [402,55,391,673,158,72,190] precision 0.7219628357970935 [0.582766,0.72,0.944737,0.631799,0.698113,0.905405,0.828283] predictive_accuracy 0.7171561051004638 prior_entropy 2.4106995883230287 recall 0.7171561051004637 [0.639303,0.327273,0.918159,0.673105,0.468354,0.930556,0.863158] relative_absolute_error 0.36345753864139674 root_mean_prior_squared_error 0.3333637532267832 root_mean_squared_error 0.28427546746046817 root_relative_squared_error 0.8527485808185005 total_cost 0 area_under_roc_curve 0.8348562020887997 [0.808204,0.597368,0.956048,0.771922,0.758333,0.9375,0.938846] area_under_roc_curve 0.8073279802714582 [0.754105,0.6,0.974276,0.707956,0.809691,0.997326,0.912481] area_under_roc_curve 0.8078891359063203 [0.742045,0.6,0.961538,0.762722,0.647823,0.997326,0.912481] area_under_roc_curve 0.7656860062333058 [0.744805,0.6,0.900579,0.676704,0.642205,0.928571,0.938797] area_under_roc_curve 0.8334093153701708 [0.816558,0.594709,0.95823,0.777544,0.681882,1,0.941654] area_under_roc_curve 0.8379105238978882 [0.801299,0.666667,0.945492,0.772417,0.917837,0.994652,0.854135] area_under_roc_curve 0.7823415516516271 [0.753084,0.75,0.945409,0.681631,0.653441,0.925898,0.930226] area_under_roc_curve 0.7964159274331011 [0.694805,0.664007,0.983954,0.721648,0.673455,1,0.959398] area_under_roc_curve 0.8014154516448994 [0.741071,0.825355,0.948718,0.725996,0.741573,0.854469,0.915338] area_under_roc_curve 0.8015851396538702 [0.741558,0.666667,0.948718,0.724762,0.727747,0.997312,0.915338] 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 0.7557332724616075 [0.690476,0.285714,0.936709,0.7,0.615385,0.933333,0.871795] f_measure 0.7123963093035257 [0.593407,0.333333,0.938272,0.615385,0.740741,0.933333,0.842105] f_measure 0.7181127921334106 [0.597403,0.333333,0.96,0.69281,0.416667,0.933333,0.842105] f_measure 0.6620652634283023 [0.592593,0.333333,0.864865,0.590604,0.384615,0.923077,0.871795] f_measure 0.7448861466902704 [0.681818,0.25,0.91358,0.711111,0.5,1,0.894737] f_measure 0.7508994589167054 [0.674699,0.5,0.933333,0.70229,0.756757,0.875,0.736842] f_measure 0.6686281500272812 [0.580645,0.666667,0.9,0.578125,0.454545,0.857143,0.809524] f_measure 0.6938591252037184 [0.519481,0.444444,0.974359,0.638298,0.444444,1,0.857143] f_measure 0.7108645926815479 [0.574713,0.615385,0.945946,0.642336,0.592593,0.769231,0.864865] f_measure 0.7172956522512449 [0.585366,0.5,0.945946,0.643836,0.583333,0.941176,0.864865] kappa 0.6861301369863013 kappa 0.633698376188678 kappa 0.6382379846597707 kappa 0.5581020465377068 kappa 0.6785529358969934 kappa 0.6838245280456335 kappa 0.5818679438932605 kappa 0.6119598579163361 kappa 0.6199869411319978 kappa 0.6287016738003272 kb_relative_information_score 0.709607645592148 kb_relative_information_score 0.6770054497728211 kb_relative_information_score 0.6634727031164157 kb_relative_information_score 0.6021874224773481 kb_relative_information_score 0.700867353072407 kb_relative_information_score 0.7175896744400753 kb_relative_information_score 0.6279789934625026 kb_relative_information_score 0.6515123537841916 kb_relative_information_score 0.6604614673114441 kb_relative_information_score 0.6678329665644556 mean_absolute_error 0.06886446886446893 mean_absolute_error 0.08100147275405016 mean_absolute_error 0.07805596465390288 mean_absolute_error 0.0957290132547865 mean_absolute_error 0.07069219440353466 mean_absolute_error 0.07069219440353466 mean_absolute_error 0.09278350515463923 mean_absolute_error 0.08541973490427107 mean_absolute_error 0.08394698085419744 mean_absolute_error 0.08100147275405016 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 0.7596490994268337 [0.674419,0.5,0.948718,0.671233,0.727273,1,0.85] precision 0.730081708097172 [0.54,1,0.904762,0.634921,0.909091,0.875,0.842105] precision 0.7391230147673448 [0.621622,1,1,0.623529,0.625,0.875,0.842105] precision 0.6812373639609413 [0.585366,1,0.914286,0.54321,0.5,1,0.85] precision 0.7512382857435943 [0.625,0.333333,0.880952,0.716418,0.75,1,0.894737] precision 0.7640749453901277 [0.651163,1,0.972222,0.71875,0.666667,0.777778,0.736842] precision 0.6940073030210743 [0.509434,1,0.878049,0.606557,0.833333,0.857143,0.73913] precision 0.6956788804614892 [0.540541,0.666667,0.974359,0.608108,0.545455,1,0.782609] precision 0.7225672100315663 [0.531915,0.571429,1,0.628571,0.727273,0.833333,0.888889] precision 0.7390957165849507 [0.571429,1,1,0.594937,0.777778,0.888889,0.888889] predictive_accuracy 0.7589743589743589 predictive_accuracy 0.7164948453608246 predictive_accuracy 0.7268041237113403 predictive_accuracy 0.6649484536082474 predictive_accuracy 0.7525773195876289 predictive_accuracy 0.7525773195876289 predictive_accuracy 0.6752577319587628 predictive_accuracy 0.7010309278350516 predictive_accuracy 0.7061855670103092 predictive_accuracy 0.7164948453608246 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 [0.707317,0.2,0.925,0.731343,0.533333,0.875,0.894737] recall 0.7164948453608248 [0.658537,0.2,0.974359,0.597015,0.625,1,0.842105] recall 0.7268041237113402 [0.575,0.2,0.923077,0.779412,0.3125,1,0.842105] recall 0.6649484536082474 [0.6,0.2,0.820513,0.647059,0.3125,0.857143,0.894737] recall 0.7525773195876289 [0.75,0.2,0.948718,0.705882,0.375,1,0.894737] recall 0.7525773195876289 [0.7,0.333333,0.897436,0.686567,0.875,1,0.736842] recall 0.6752577319587629 [0.675,0.5,0.923077,0.552239,0.3125,0.857143,0.894737] recall 0.7010309278350515 [0.5,0.333333,0.974359,0.671642,0.375,1,0.947368] recall 0.7061855670103093 [0.625,0.666667,0.897436,0.656716,0.5,0.714286,0.842105] recall 0.7164948453608248 [0.6,0.333333,0.897436,0.701493,0.466667,1,0.842105] relative_absolute_error 0.30970736179094194 relative_absolute_error 0.36444780069324706 relative_absolute_error 0.3515191959361001 relative_absolute_error 0.43110844784616026 relative_absolute_error 0.3183570076402415 relative_absolute_error 0.31768854943158276 relative_absolute_error 0.41696622112895243 relative_absolute_error 0.383873663896496 relative_absolute_error 0.37725515245000474 relative_absolute_error 0.36391179707348903 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 0.27938497571255133 root_mean_squared_error 0.30940105567820303 root_mean_squared_error 0.26588003761759677 root_mean_squared_error 0.26588003761759677 root_mean_squared_error 0.3046038495400858 root_mean_squared_error 0.29226654769964877 root_mean_squared_error 0.2897360537699743 root_mean_squared_error 0.28460757676852205 root_relative_squared_error 0.7871556693148514 root_relative_squared_error 0.8540743440117246 root_relative_squared_error 0.8391764438930177 root_relative_squared_error 0.9293344317409392 root_relative_squared_error 0.7986122514320049 root_relative_squared_error 0.7969343523995494 root_relative_squared_error 0.9130029984453867 root_relative_squared_error 0.8760238414516323 root_relative_squared_error 0.8684390766864167 root_relative_squared_error 0.8528182146812514 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 243.19054499210324 usercpu_time_millis 240.94066399266012 usercpu_time_millis 236.49657599889906 usercpu_time_millis 232.4978749966249 usercpu_time_millis 242.66548499872442 usercpu_time_millis 243.68025700823637 usercpu_time_millis 234.2500840095454 usercpu_time_millis 238.1957359975786 usercpu_time_millis 241.99746300291736 usercpu_time_millis 242.0842389910831 usercpu_time_millis_testing 20.936076994985342 usercpu_time_millis_testing 20.833677997870836 usercpu_time_millis_testing 21.274000995617826 usercpu_time_millis_testing 21.135309994861018 usercpu_time_millis_testing 21.49457199993776 usercpu_time_millis_testing 21.5993250021711 usercpu_time_millis_testing 20.94500000384869 usercpu_time_millis_testing 21.241492999251932 usercpu_time_millis_testing 21.300863001670223 usercpu_time_millis_testing 21.172743996430654 usercpu_time_millis_training 222.2544679971179 usercpu_time_millis_training 220.10698599478928 usercpu_time_millis_training 215.22257500328124 usercpu_time_millis_training 211.36256500176387 usercpu_time_millis_training 221.17091299878666 usercpu_time_millis_training 222.08093200606527 usercpu_time_millis_training 213.3050840056967 usercpu_time_millis_training 216.95424299832666 usercpu_time_millis_training 220.69660000124713 usercpu_time_millis_training 220.91149499465246 wall_clock_time_millis 351.24731063842773 wall_clock_time_millis 240.98849296569824 wall_clock_time_millis 352.5831699371338 wall_clock_time_millis 232.53226280212402 wall_clock_time_millis 242.71106719970703 wall_clock_time_millis 243.7305450439453 wall_clock_time_millis 246.29974365234375 wall_clock_time_millis 238.24310302734375 wall_clock_time_millis 274.15013313293457 wall_clock_time_millis 242.13480949401855 wall_clock_time_millis_testing 20.948171615600586 wall_clock_time_millis_testing 20.844459533691406 wall_clock_time_millis_testing 45.28546333312988 wall_clock_time_millis_testing 21.149158477783203 wall_clock_time_millis_testing 21.507740020751953 wall_clock_time_millis_testing 21.61383628845215 wall_clock_time_millis_testing 32.96041488647461 wall_clock_time_millis_testing 21.254539489746094 wall_clock_time_millis_testing 21.313905715942383 wall_clock_time_millis_testing 21.18849754333496 wall_clock_time_millis_training 330.29913902282715 wall_clock_time_millis_training 220.14403343200684 wall_clock_time_millis_training 307.2977066040039 wall_clock_time_millis_training 211.38310432434082 wall_clock_time_millis_training 221.20332717895508 wall_clock_time_millis_training 222.11670875549316 wall_clock_time_millis_training 213.33932876586914 wall_clock_time_millis_training 216.98856353759766 wall_clock_time_millis_training 252.8362274169922 wall_clock_time_millis_training 220.9463119506836