10543467 8323 Heinrich Peters 16 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275614 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "median" 12737 verbose 0 12737 C 1.0 13106 class_weight null 13106 dual false 13106 fit_intercept true 13106 intercept_scaling 1 13106 l1_ratio null 13106 max_iter 100 13106 multi_class "warn" 13106 n_jobs null 13106 penalty "l2" 13106 random_state 1 13106 solver "liblinear" 13106 tol 0.0001 13106 verbose 0 13106 warm_start false 13106 copy true 13294 with_mean true 13294 with_std true 13294 memory null 18601 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": "logisticregression", "step_name": "logisticregression"}}] 18601 verbose false 18601 openml-python Sklearn_0.21.2. 16 mfeat-karhunen https://www.openml.org/data/download/16/dataset_16_mfeat-karhunen.arff -1 22011889 description https://api.openml.org/data/download/22011889/description.xml -1 22011890 predictions https://api.openml.org/data/download/22011890/predictions.arff area_under_roc_curve 0.9932013888888889 [0.996978,0.993608,0.999303,0.987653,0.995975,0.985578,0.995864,0.996736,0.986256,0.994064] average_cost 0 f_measure 0.9529246458302395 [0.970149,0.940887,0.977667,0.941476,0.967419,0.939394,0.955224,0.958231,0.941772,0.937028] kappa 0.9477777777777777 kb_relative_information_score 0.9087733667048356 mean_absolute_error 0.029803745727603904 mean_prior_absolute_error 0.18000000000000554 weighted_recall 0.953 [0.975,0.955,0.985,0.925,0.965,0.93,0.96,0.975,0.93,0.93] number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.953088503669897 [0.965347,0.927184,0.970443,0.958549,0.969849,0.94898,0.950495,0.942029,0.953846,0.944162] predictive_accuracy 0.953 prior_entropy 3.3219280948872383 relative_absolute_error 0.16557636515334992 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.09761330567833074 root_relative_squared_error 0.3253776855944308 total_cost 0 unweighted_recall 0.953 [0.975,0.955,0.985,0.925,0.965,0.93,0.96,0.975,0.93,0.93] area_under_roc_curve 0.9918333333333333 [0.993889,0.995833,1,0.998611,1,0.964167,0.998889,1,0.966944,1] area_under_roc_curve 0.9947500000000001 [1,0.959167,1,0.998056,0.998333,0.995556,0.998333,0.999167,1,0.998889] area_under_roc_curve 0.9955000000000002 [1,0.999444,0.999167,0.995278,1,0.990833,1,0.976667,0.996944,0.996667] area_under_roc_curve 0.9861388888888888 [0.997778,1,1,0.949444,0.970278,0.967778,1,1,0.999167,0.976944] area_under_roc_curve 0.9909444444444443 [1,0.998611,1,0.977778,0.998889,0.9975,0.997222,0.998333,0.950556,0.990556] area_under_roc_curve 0.9962222222222222 [0.998889,0.996389,1,0.995556,0.996111,0.996944,1,0.999167,0.998056,0.981111] area_under_roc_curve 0.9943611111111111 [0.978333,0.994444,0.996389,0.998056,0.999722,0.999167,1,0.995556,0.981944,1] area_under_roc_curve 0.9927222222222221 [1,0.999722,0.998889,1,0.998056,0.959444,0.999444,1,0.972222,0.999444] area_under_roc_curve 0.9953611111111111 [1,0.998333,1,0.965278,1,0.991111,1,1,0.998889,1] area_under_roc_curve 0.9948055555555557 [0.998611,0.998611,1,0.998611,0.998333,0.998889,0.965556,0.998889,0.995556,0.995] 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 0.9549723041186455 [0.923077,0.926829,1,0.923077,1,0.95,0.974359,1,0.9,0.952381] f_measure 0.9603126013909068 [1,0.926829,1,0.947368,0.947368,0.904762,0.926829,0.97561,1,0.974359] f_measure 0.9502176247811677 [0.97561,0.947368,0.909091,0.926829,1,0.95,1,0.918919,0.974359,0.9] f_measure 0.9650615363182159 [0.974359,0.97561,1,0.923077,0.974359,0.947368,0.930233,0.97561,1,0.95] f_measure 0.9295325555916055 [1,0.926829,0.947368,0.923077,0.952381,0.926829,0.926829,0.926829,0.842105,0.923077] f_measure 0.9399176964182786 [0.97561,0.926829,1,0.974359,0.923077,0.947368,0.974359,0.930233,0.926829,0.820513] f_measure 0.9451996160390942 [0.95,0.9,0.974359,0.9,0.97561,0.923077,0.974359,0.930233,0.95,0.974359] f_measure 0.969961489088575 [1,1,0.97561,1,0.926829,0.947368,0.926829,1,0.947368,0.97561] f_measure 0.969977617589941 [0.97561,0.926829,1,0.95,1,0.95,1,0.97561,0.974359,0.947368] f_measure 0.9449624295259725 [0.926829,0.952381,0.97561,0.947368,0.974359,0.95,0.923077,0.95,0.9,0.95] kappa 0.95 kappa 0.9555555555555555 kappa 0.9444444444444444 kappa 0.961111111111111 kappa 0.9222222222222223 kappa 0.9333333333333332 kappa 0.9388888888888889 kappa 0.9666666666666667 kappa 0.9666666666666667 kappa 0.9388888888888889 kb_relative_information_score 0.9042001449242274 kb_relative_information_score 0.9149467008509186 kb_relative_information_score 0.9068247606350569 kb_relative_information_score 0.9219416085965745 kb_relative_information_score 0.8909909421268607 kb_relative_information_score 0.8960448931565712 kb_relative_information_score 0.91262973368194 kb_relative_information_score 0.9115289595227538 kb_relative_information_score 0.9236078488835519 kb_relative_information_score 0.9050180746695864 mean_absolute_error 0.031001130516354038 mean_absolute_error 0.02827595545820058 mean_absolute_error 0.031107538863956438 mean_absolute_error 0.025273998518702788 mean_absolute_error 0.03405922616250729 mean_absolute_error 0.031957932096986 mean_absolute_error 0.029161233458446748 mean_absolute_error 0.030469763727100994 mean_absolute_error 0.02618510331589915 mean_absolute_error 0.030545575157884836 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 mean_prior_absolute_error 0.1799999999999998 number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] number_of_instances 200 [20,20,20,20,20,20,20,20,20,20] precision 0.9558589655958077 [0.947368,0.904762,1,0.947368,1,0.95,1,1,0.9,0.909091] precision 0.9625541125541126 [1,0.904762,1,1,1,0.863636,0.904762,0.952381,1,1] precision 0.9540476190476191 [0.952381,1,0.833333,0.904762,1,0.95,1,1,1,0.9] precision 0.9671695543205839 [1,0.952381,1,0.947368,1,1,0.869565,0.952381,1,0.95] precision 0.9311764259132681 [1,0.904762,1,0.947368,0.909091,0.904762,0.904762,0.904762,0.888889,0.947368] precision 0.9420943663506592 [0.952381,0.904762,1,1,0.947368,1,1,0.869565,0.904762,0.842105] precision 0.946931459082489 [0.95,0.9,1,0.9,0.952381,0.947368,1,0.869565,0.95,1] precision 0.9714285714285714 [1,1,0.952381,1,0.904762,1,0.904762,1,1,0.952381] precision 0.9709523809523809 [0.952381,0.904762,1,0.95,1,0.95,1,0.952381,1,1] precision 0.9463602187286397 [0.904762,0.909091,0.952381,1,1,0.95,0.947368,0.95,0.9,0.95] predictive_accuracy 0.955 predictive_accuracy 0.96 predictive_accuracy 0.95 predictive_accuracy 0.965 predictive_accuracy 0.93 predictive_accuracy 0.94 predictive_accuracy 0.945 predictive_accuracy 0.97 predictive_accuracy 0.97 predictive_accuracy 0.945 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 prior_entropy 3.321928094887355 relative_absolute_error 0.17222850286863373 relative_absolute_error 0.15708864143444784 relative_absolute_error 0.17281966035531376 relative_absolute_error 0.1404111028816823 relative_absolute_error 0.1892179231250407 relative_absolute_error 0.177544067205478 relative_absolute_error 0.1620068525469266 relative_absolute_error 0.16927646515056127 relative_absolute_error 0.14547279619943987 relative_absolute_error 0.16969763976602703 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_prior_squared_error 0.2999999999999998 root_mean_squared_error 0.1001600605444759 root_mean_squared_error 0.0941435582098536 root_mean_squared_error 0.09940981097856538 root_mean_squared_error 0.08508412701361578 root_mean_squared_error 0.11112889560803241 root_mean_squared_error 0.10512645056114668 root_mean_squared_error 0.09687466119114736 root_mean_squared_error 0.09494168796428155 root_mean_squared_error 0.08554517444054299 root_mean_squared_error 0.10074276636189973 root_relative_squared_error 0.33386686848158653 root_relative_squared_error 0.31381186069951217 root_relative_squared_error 0.3313660365952181 root_relative_squared_error 0.28361375671205274 root_relative_squared_error 0.3704296520267749 root_relative_squared_error 0.3504215018704891 root_relative_squared_error 0.3229155373038248 root_relative_squared_error 0.31647229321427206 root_relative_squared_error 0.2851505814684768 root_relative_squared_error 0.3358092212063326 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 unweighted_recall 0.9550000000000001 [0.9,0.95,1,0.9,1,0.95,0.95,1,0.9,1] unweighted_recall 0.96 [1,0.95,1,0.9,0.9,0.95,0.95,1,1,0.95] unweighted_recall 0.95 [1,0.9,1,0.95,1,0.95,1,0.85,0.95,0.9] unweighted_recall 0.9649999999999999 [0.95,1,1,0.9,0.95,0.9,1,1,1,0.95] unweighted_recall 0.93 [1,0.95,0.9,0.9,1,0.95,0.95,0.95,0.8,0.9] unweighted_recall 0.9400000000000002 [1,0.95,1,0.95,0.9,0.9,0.95,1,0.95,0.8] unweighted_recall 0.945 [0.95,0.9,0.95,0.9,1,0.9,0.95,1,0.95,0.95] unweighted_recall 0.9700000000000001 [1,1,1,1,0.95,0.9,0.95,1,0.9,1] unweighted_recall 0.9700000000000001 [1,0.95,1,0.95,1,0.95,1,1,0.95,0.9] unweighted_recall 0.945 [0.95,1,1,0.9,0.95,0.95,0.9,0.95,0.9,0.95] usercpu_time_millis 312.623716017697 usercpu_time_millis 289.47770199738443 usercpu_time_millis 290.6364669906907 usercpu_time_millis 284.7629440075252 usercpu_time_millis 287.9988029890228 usercpu_time_millis 291.8393639847636 usercpu_time_millis 289.9019129690714 usercpu_time_millis 294.00643598637544 usercpu_time_millis 296.71520402189344 usercpu_time_millis 286.2081730272621 usercpu_time_millis_testing 0.9095279965549707 usercpu_time_millis_testing 0.8478340168949217 usercpu_time_millis_testing 0.8705219952389598 usercpu_time_millis_testing 0.8056650112848729 usercpu_time_millis_testing 0.9033569949679077 usercpu_time_millis_testing 0.8727569947950542 usercpu_time_millis_testing 0.8649019873701036 usercpu_time_millis_testing 0.8359820058103651 usercpu_time_millis_testing 0.8676940051373094 usercpu_time_millis_testing 0.8879850211087614 usercpu_time_millis_training 311.71418802114204 usercpu_time_millis_training 288.6298679804895 usercpu_time_millis_training 289.7659449954517 usercpu_time_millis_training 283.95727899624035 usercpu_time_millis_training 287.0954459940549 usercpu_time_millis_training 290.96660698996857 usercpu_time_millis_training 289.0370109817013 usercpu_time_millis_training 293.17045398056507 usercpu_time_millis_training 295.84751001675613 usercpu_time_millis_training 285.32018800615333 wall_clock_time_millis 312.6366138458252 wall_clock_time_millis 289.5164489746094 wall_clock_time_millis 290.6625270843506 wall_clock_time_millis 284.7723960876465 wall_clock_time_millis 288.0284786224365 wall_clock_time_millis 291.85009002685547 wall_clock_time_millis 289.91222381591797 wall_clock_time_millis 294.0242290496826 wall_clock_time_millis 296.76032066345215 wall_clock_time_millis 286.2212657928467 wall_clock_time_millis_testing 0.9186267852783203 wall_clock_time_millis_testing 0.8535385131835938 wall_clock_time_millis_testing 0.8757114410400391 wall_clock_time_millis_testing 0.812530517578125 wall_clock_time_millis_testing 0.9129047393798828 wall_clock_time_millis_testing 0.8776187896728516 wall_clock_time_millis_testing 0.873565673828125 wall_clock_time_millis_testing 0.8399486541748047 wall_clock_time_millis_testing 0.87738037109375 wall_clock_time_millis_testing 0.8981227874755859 wall_clock_time_millis_training 311.7179870605469 wall_clock_time_millis_training 288.6629104614258 wall_clock_time_millis_training 289.78681564331055 wall_clock_time_millis_training 283.95986557006836 wall_clock_time_millis_training 287.11557388305664 wall_clock_time_millis_training 290.9724712371826 wall_clock_time_millis_training 289.03865814208984 wall_clock_time_millis_training 293.1842803955078 wall_clock_time_millis_training 295.8829402923584 wall_clock_time_millis_training 285.3231430053711 weighted_recall 0.955 [0.9,0.95,1,0.9,1,0.95,0.95,1,0.9,1] weighted_recall 0.96 [1,0.95,1,0.9,0.9,0.95,0.95,1,1,0.95] weighted_recall 0.95 [1,0.9,1,0.95,1,0.95,1,0.85,0.95,0.9] weighted_recall 0.965 [0.95,1,1,0.9,0.95,0.9,1,1,1,0.95] weighted_recall 0.93 [1,0.95,0.9,0.9,1,0.95,0.95,0.95,0.8,0.9] weighted_recall 0.94 [1,0.95,1,0.95,0.9,0.9,0.95,1,0.95,0.8] weighted_recall 0.945 [0.95,0.9,0.95,0.9,1,0.9,0.95,1,0.95,0.95] weighted_recall 0.97 [1,1,1,1,0.95,0.9,0.95,1,0.9,1] weighted_recall 0.97 [1,0.95,1,0.95,1,0.95,1,1,0.95,0.9] weighted_recall 0.945 [0.95,1,1,0.9,0.95,0.95,0.9,0.95,0.9,0.95]