10559041 8323 Heinrich Peters 146824 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275916 copy true 17405 with_mean true 17405 with_std true 17405 add_indicator false 17407 copy true 17407 fill_value null 17407 missing_values NaN 17407 strategy "median" 17407 verbose 0 17407 C 0.1 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 10000 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "lbfgs" 17462 tol 0.0001 17462 verbose 0 17462 warm_start false 17462 memory null 18591 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"}}] 18591 verbose false 18591 openml-python Sklearn_0.21.2. 40979 mfeat-pixel https://www.openml.org/data/download/18142224/phpzRUhOO -1 22043046 description https://api.openml.org/data/download/22043046/description.xml -1 22043047 predictions https://api.openml.org/data/download/22043047/predictions.arff area_under_roc_curve 0.994411111111111 [0.996725,0.995578,0.999758,0.988403,0.998636,0.986944,0.996706,0.999081,0.986908,0.995372] average_cost 0 f_measure 0.9655238952623167 [0.982544,0.943489,0.987531,0.962406,0.969849,0.947103,0.972292,0.975,0.962406,0.952618] kappa 0.9616666666666667 kb_relative_information_score 0.9384475396623908 mean_absolute_error 0.019918606084263633 mean_prior_absolute_error 0.18000000000000554 weighted_recall 0.9655 [0.985,0.96,0.99,0.96,0.965,0.94,0.965,0.975,0.96,0.955] number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9656364985693965 [0.9801,0.927536,0.985075,0.964824,0.974747,0.954315,0.979695,0.975,0.964824,0.950249] predictive_accuracy 0.9655 prior_entropy 3.3219280948872383 relative_absolute_error 0.1106589226903501 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.08072954413023693 root_relative_squared_error 0.269098480434119 total_cost 0 unweighted_recall 0.9654999999999999 [0.985,0.96,0.99,0.96,0.965,0.94,0.965,0.975,0.96,0.955] area_under_roc_curve 0.99175 [0.996667,0.998611,1,1,1,0.968056,0.998611,1,0.955556,1] area_under_roc_curve 0.9967777777777778 [1,0.97,1,1,1,0.999167,0.999444,0.999722,1,0.999444] area_under_roc_curve 0.9977222222222223 [1,1,0.999444,0.997778,1,0.988333,1,0.994722,1,0.996944] area_under_roc_curve 0.9898333333333332 [0.998611,1,1,0.950833,0.990556,0.978889,1,1,1,0.979444] area_under_roc_curve 0.9914166666666666 [1,0.998056,0.999722,0.977222,1,0.995556,0.999444,1,0.952778,0.991389] area_under_roc_curve 0.9978333333333333 [0.999167,0.995556,1,0.998333,0.998056,0.996667,1,1,0.998611,0.991944] area_under_roc_curve 0.9957222222222222 [0.973056,0.997222,0.999444,0.998889,1,0.998611,1,0.998333,0.991667,1] area_under_roc_curve 0.9935833333333332 [1,0.9975,1,1,0.999167,0.968611,1,1,0.970833,0.999722] area_under_roc_curve 0.9935833333333332 [1,0.999722,1,0.960556,1,0.975556,1,1,1,1] area_under_roc_curve 0.9964166666666668 [1,1,1,0.999444,1,1,0.972222,1,0.997222,0.995278] 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 0.9698655409631018 [0.95,0.95,1,0.97561,1,0.95,0.974359,1,0.923077,0.97561] f_measure 0.9602631330538307 [1,0.904762,1,0.974359,0.918919,0.930233,0.95,0.974359,1,0.95] f_measure 0.9750906346541777 [0.97561,1,0.952381,0.974359,1,0.974359,1,0.947368,1,0.926829] f_measure 0.9698525394160824 [0.974359,0.97561,0.97561,0.95,0.974359,0.947368,0.97561,1,0.97561,0.95] f_measure 0.950071410910889 [0.97561,0.930233,0.974359,0.9,1,0.923077,0.95,0.974359,0.923077,0.95] f_measure 0.9599525549332993 [0.97561,0.926829,1,0.974359,0.947368,0.947368,1,0.952381,0.97561,0.9] f_measure 0.9652166532654337 [0.974359,0.9,0.974359,0.97561,0.952381,0.974359,1,0.952381,0.974359,0.974359] f_measure 0.9649333311900108 [1,0.947368,1,0.97561,0.930233,0.923077,0.974359,1,0.923077,0.97561] f_measure 0.975115697310819 [1,0.95,1,0.95,1,0.926829,0.974359,0.97561,1,0.974359] f_measure 0.9650973822925042 [1,0.952381,1,0.974359,0.974359,0.97561,0.923077,0.974359,0.926829,0.95] kappa 0.9666666666666667 kappa 0.9555555555555555 kappa 0.9722222222222222 kappa 0.9666666666666667 kappa 0.9444444444444444 kappa 0.9555555555555555 kappa 0.961111111111111 kappa 0.961111111111111 kappa 0.9722222222222222 kappa 0.961111111111111 kb_relative_information_score 0.9345431389785341 kb_relative_information_score 0.9448205138058856 kb_relative_information_score 0.9447127809721663 kb_relative_information_score 0.9475256084465866 kb_relative_information_score 0.9253168714412449 kb_relative_information_score 0.9285441303036422 kb_relative_information_score 0.9346008057875921 kb_relative_information_score 0.9335348445412321 kb_relative_information_score 0.9512563187733392 kb_relative_information_score 0.9396203835733721 mean_absolute_error 0.020857031708909905 mean_absolute_error 0.01888238819019985 mean_absolute_error 0.018575723852874978 mean_absolute_error 0.015954185872086805 mean_absolute_error 0.022639770192567927 mean_absolute_error 0.02221206895098328 mean_absolute_error 0.02122196172788195 mean_absolute_error 0.02148425005281803 mean_absolute_error 0.01713203280638744 mean_absolute_error 0.02022664748792611 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 0.9702130325814535 [0.95,0.95,1,0.952381,1,0.95,1,1,0.947368,0.952381] precision 0.9633201581027668 [1,0.863636,1,1,1,0.869565,0.95,1,1,0.95] precision 0.9766233766233766 [0.952381,1,0.909091,1,1,1,1,1,1,0.904762] precision 0.9709523809523809 [1,0.952381,0.952381,0.95,1,1,0.952381,1,0.952381,0.95] precision 0.9516683011877519 [0.952381,0.869565,1,0.9,1,0.947368,0.95,1,0.947368,0.95] precision 0.9618614718614719 [0.952381,0.904762,1,1,1,1,1,0.909091,0.952381,0.9] precision 0.9670562770562771 [1,0.9,1,0.952381,0.909091,1,1,0.909091,1,1] precision 0.9669063964258471 [1,1,1,0.952381,0.869565,0.947368,1,1,0.947368,0.952381] precision 0.9757142857142856 [1,0.95,1,0.95,1,0.904762,1,0.952381,1,1] precision 0.96636021872864 [1,0.909091,1,1,1,0.952381,0.947368,1,0.904762,0.95] predictive_accuracy 0.97 predictive_accuracy 0.96 predictive_accuracy 0.975 predictive_accuracy 0.97 predictive_accuracy 0.95 predictive_accuracy 0.96 predictive_accuracy 0.965 predictive_accuracy 0.965 predictive_accuracy 0.975 predictive_accuracy 0.965 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 0.11587239838283292 relative_absolute_error 0.1049021566122215 relative_absolute_error 0.10319846584930553 relative_absolute_error 0.08863436595603791 relative_absolute_error 0.12577650106982197 relative_absolute_error 0.12340038306101836 relative_absolute_error 0.11789978737712208 relative_absolute_error 0.11935694473787808 relative_absolute_error 0.0951779600354859 relative_absolute_error 0.11237026382181185 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 0.08333015234247643 root_mean_squared_error 0.07686524162833384 root_mean_squared_error 0.07350479366304095 root_mean_squared_error 0.07121095313301046 root_mean_squared_error 0.0939913282976231 root_mean_squared_error 0.08926697804758321 root_mean_squared_error 0.08316516831644348 root_mean_squared_error 0.08307620771530978 root_mean_squared_error 0.0685773815421492 root_mean_squared_error 0.08076222398907591 root_relative_squared_error 0.2777671744749216 root_relative_squared_error 0.25621747209444634 root_relative_squared_error 0.24501597887680332 root_relative_squared_error 0.23736984377670167 root_relative_squared_error 0.3133044276587439 root_relative_squared_error 0.2975565934919442 root_relative_squared_error 0.27721722772147844 root_relative_squared_error 0.2769206923843661 root_relative_squared_error 0.2285912718071641 root_relative_squared_error 0.26920741329691983 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 0.9700000000000001 [0.95,0.95,1,1,1,0.95,0.95,1,0.9,1] unweighted_recall 0.96 [1,0.95,1,0.95,0.85,1,0.95,0.95,1,0.95] unweighted_recall 0.975 [1,1,1,0.95,1,0.95,1,0.9,1,0.95] unweighted_recall 0.97 [0.95,1,1,0.95,0.95,0.9,1,1,1,0.95] unweighted_recall 0.95 [1,1,0.95,0.9,1,0.9,0.95,0.95,0.9,0.95] unweighted_recall 0.9600000000000002 [1,0.95,1,0.95,0.9,0.9,1,1,1,0.9] unweighted_recall 0.9649999999999999 [0.95,0.9,0.95,1,1,0.95,1,1,0.95,0.95] unweighted_recall 0.9650000000000001 [1,0.9,1,1,1,0.9,0.95,1,0.9,1] unweighted_recall 0.975 [1,0.95,1,0.95,1,0.95,0.95,1,1,0.95] unweighted_recall 0.9650000000000001 [1,1,1,0.95,0.95,1,0.9,0.95,0.95,0.95] usercpu_time_millis 1159.11000000051 usercpu_time_millis 1248.2920000002196 usercpu_time_millis 1197.996000002604 usercpu_time_millis 1224.1240000003017 usercpu_time_millis 1224.9379999957455 usercpu_time_millis 1214.4079999998212 usercpu_time_millis 1215.1519999970333 usercpu_time_millis 1240.3059999996913 usercpu_time_millis 1233.5559999992256 usercpu_time_millis 1227.2720000000845 usercpu_time_millis_testing 3.6279999985708855 usercpu_time_millis_testing 4.122000002098503 usercpu_time_millis_testing 3.678000000945758 usercpu_time_millis_testing 4.093999999895459 usercpu_time_millis_testing 3.6719999989145435 usercpu_time_millis_testing 2.7300000001559965 usercpu_time_millis_testing 3.6499999987427145 usercpu_time_millis_testing 3.7479999991774093 usercpu_time_millis_testing 3.798000001552282 usercpu_time_millis_testing 3.683999999338994 usercpu_time_millis_training 1155.482000001939 usercpu_time_millis_training 1244.169999998121 usercpu_time_millis_training 1194.3180000016582 usercpu_time_millis_training 1220.0300000004063 usercpu_time_millis_training 1221.265999996831 usercpu_time_millis_training 1211.6779999996652 usercpu_time_millis_training 1211.5019999982906 usercpu_time_millis_training 1236.5580000005139 usercpu_time_millis_training 1229.7579999976733 usercpu_time_millis_training 1223.5880000007455 wall_clock_time_millis 324.7697353363037 wall_clock_time_millis 317.3713684082031 wall_clock_time_millis 326.36094093322754 wall_clock_time_millis 317.1710968017578 wall_clock_time_millis 313.1299018859863 wall_clock_time_millis 317.52896308898926 wall_clock_time_millis 311.95783615112305 wall_clock_time_millis 320.9049701690674 wall_clock_time_millis 318.2368278503418 wall_clock_time_millis 318.88437271118164 wall_clock_time_millis_testing 0.9307861328125 wall_clock_time_millis_testing 1.0371208190917969 wall_clock_time_millis_testing 0.9291172027587891 wall_clock_time_millis_testing 1.032114028930664 wall_clock_time_millis_testing 0.9248256683349609 wall_clock_time_millis_testing 1.46484375 wall_clock_time_millis_testing 0.9219646453857422 wall_clock_time_millis_testing 0.9491443634033203 wall_clock_time_millis_testing 0.9768009185791016 wall_clock_time_millis_testing 0.9362697601318359 wall_clock_time_millis_training 323.8389492034912 wall_clock_time_millis_training 316.3342475891113 wall_clock_time_millis_training 325.43182373046875 wall_clock_time_millis_training 316.13898277282715 wall_clock_time_millis_training 312.20507621765137 wall_clock_time_millis_training 316.06411933898926 wall_clock_time_millis_training 311.0358715057373 wall_clock_time_millis_training 319.95582580566406 wall_clock_time_millis_training 317.2600269317627 wall_clock_time_millis_training 317.9481029510498 weighted_recall 0.97 [0.95,0.95,1,1,1,0.95,0.95,1,0.9,1] weighted_recall 0.96 [1,0.95,1,0.95,0.85,1,0.95,0.95,1,0.95] weighted_recall 0.975 [1,1,1,0.95,1,0.95,1,0.9,1,0.95] weighted_recall 0.97 [0.95,1,1,0.95,0.95,0.9,1,1,1,0.95] weighted_recall 0.95 [1,1,0.95,0.9,1,0.9,0.95,0.95,0.9,0.95] weighted_recall 0.96 [1,0.95,1,0.95,0.9,0.9,1,1,1,0.9] weighted_recall 0.965 [0.95,0.9,0.95,1,1,0.95,1,1,0.95,0.95] weighted_recall 0.965 [1,0.9,1,1,1,0.9,0.95,1,0.9,1] weighted_recall 0.975 [1,0.95,1,0.95,1,0.95,0.95,1,1,0.95] weighted_recall 0.965 [1,1,1,0.95,0.95,1,0.9,0.95,0.95,0.95]