10559039 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) 8275913 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 1.0229391816 17462 class_weight null 17462 dual true 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 309 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "liblinear" 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 22043042 description https://api.openml.org/data/download/22043042/description.xml -1 22043043 predictions https://api.openml.org/data/download/22043043/predictions.arff area_under_roc_curve 0.9918127777777777 [0.997903,0.994486,0.998186,0.985742,0.995681,0.979489,0.994625,0.998372,0.981697,0.991947] average_cost 0 f_measure 0.9524653980077826 [0.975124,0.931707,0.98,0.945274,0.96,0.933333,0.952381,0.967742,0.939698,0.939394] kappa 0.9472222222222222 kb_relative_information_score 0.9115694121968292 mean_absolute_error 0.028056956012303586 mean_prior_absolute_error 0.18000000000000554 weighted_recall 0.9525 [0.98,0.955,0.98,0.95,0.96,0.91,0.95,0.975,0.935,0.93] number_of_instances 2000 [200,200,200,200,200,200,200,200,200,200] precision 0.9527098674107665 [0.970297,0.909524,0.98,0.940594,0.96,0.957895,0.954774,0.960591,0.944444,0.94898] predictive_accuracy 0.9525 prior_entropy 3.3219280948872383 relative_absolute_error 0.15587197784612622 root_mean_prior_squared_error 0.3000000000000046 root_mean_squared_error 0.09823370271446222 root_relative_squared_error 0.32744567571486904 total_cost 0 unweighted_recall 0.9525 [0.98,0.955,0.98,0.95,0.96,0.91,0.95,0.975,0.935,0.93] area_under_roc_curve 0.9918611111111111 [0.998056,0.999444,1,0.998333,1,0.978611,0.993056,1,0.951111,1] area_under_roc_curve 0.9943888888888889 [1,0.961111,1,1,0.999722,0.993611,0.993889,0.998333,0.999444,0.997778] area_under_roc_curve 0.9936944444444444 [1,1,0.999167,0.988889,0.999722,0.964167,1,0.989167,1,0.995833] area_under_roc_curve 0.9851666666666666 [0.9975,1,1,0.950556,0.965278,0.959444,1,1,0.998611,0.980278] area_under_roc_curve 0.9873333333333334 [1,0.998333,0.997778,0.981944,0.999722,0.984167,0.998889,0.999722,0.932778,0.98] area_under_roc_curve 0.9954722222222222 [0.999444,0.998889,1,0.996667,0.9975,0.988056,0.999722,1,0.994722,0.979722] area_under_roc_curve 0.9941111111111112 [0.987222,0.994722,0.986389,0.999722,0.999722,0.9975,1,0.996667,0.979444,0.999722] area_under_roc_curve 0.99175 [1,0.994722,1,1,0.998611,0.959722,0.999444,1,0.965278,0.999722] area_under_roc_curve 0.9903333333333333 [1,0.998889,1,0.9475,1,0.963889,1,1,0.993611,0.999444] area_under_roc_curve 0.9933055555555557 [1,0.999444,1,0.995556,1,0.998333,0.959722,0.998611,0.9925,0.988889] 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 0.9596466446273892 [0.926829,0.952381,1,0.952381,0.97561,0.947368,0.947368,1,0.918919,0.97561] f_measure 0.9500995688094532 [0.97561,0.9,1,1,0.947368,0.9,0.926829,0.974359,0.95,0.926829] f_measure 0.9698337306681337 [0.97561,1,0.952381,0.95,0.97561,0.947368,1,0.947368,1,0.95] f_measure 0.9599088937971524 [0.974359,0.97561,0.97561,0.974359,0.95,0.918919,0.930233,1,0.95,0.95] f_measure 0.945489091567397 [0.97561,0.909091,0.947368,0.878049,0.974359,0.947368,0.97561,0.974359,0.923077,0.95] f_measure 0.938650002115984 [0.97561,0.952381,0.97561,0.947368,0.923077,0.9,0.974359,0.952381,0.952381,0.833333] f_measure 0.9500884481372285 [0.974359,0.85,0.974359,0.95,0.952381,0.974359,0.97561,0.952381,0.923077,0.974359] f_measure 0.9551125703564728 [0.974359,0.9,0.974359,1,0.95,0.974359,0.97561,0.97561,0.9,0.926829] f_measure 0.9502669803353446 [1,0.923077,1,0.883721,0.97561,0.871795,0.974359,0.952381,0.974359,0.947368] f_measure 0.9440293040293041 [1,0.952381,1,0.923077,0.974359,0.952381,0.833333,0.95,0.904762,0.95] kappa 0.9555555555555555 kappa 0.9444444444444444 kappa 0.9666666666666667 kappa 0.9555555555555555 kappa 0.9388888888888889 kappa 0.9333333333333332 kappa 0.9444444444444444 kappa 0.95 kappa 0.9444444444444444 kappa 0.9388888888888889 kb_relative_information_score 0.9073055724951893 kb_relative_information_score 0.9135431118171988 kb_relative_information_score 0.9220206035075031 kb_relative_information_score 0.9287704891603384 kb_relative_information_score 0.8977981391180991 kb_relative_information_score 0.8983391533445314 kb_relative_information_score 0.9057132396333207 kb_relative_information_score 0.9104659797857938 kb_relative_information_score 0.9233708733497763 kb_relative_information_score 0.908366959756212 mean_absolute_error 0.02901094986197665 mean_absolute_error 0.027396185398817417 mean_absolute_error 0.025967611010703714 mean_absolute_error 0.0215346499442096 mean_absolute_error 0.030715879655090386 mean_absolute_error 0.032001391899586 mean_absolute_error 0.029920680830056598 mean_absolute_error 0.02860642390323837 mean_absolute_error 0.02560532616528278 mean_absolute_error 0.029810461454074396 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 0.9627705627705626 [0.904762,0.909091,1,0.909091,0.952381,1,1,1,1,0.952381] precision 0.9511904761904763 [0.952381,0.9,1,1,1,0.9,0.904762,1,0.95,0.904762] precision 0.9713852813852814 [0.952381,1,0.909091,0.95,0.952381,1,1,1,1,0.95] precision 0.962432712215321 [1,0.952381,0.952381,1,0.95,1,0.869565,1,0.95,0.95] precision 0.9492606516290727 [0.952381,0.833333,1,0.857143,1,1,0.952381,1,0.947368,0.95] precision 0.9416903053087264 [0.952381,0.909091,0.952381,1,0.947368,0.9,1,0.909091,0.909091,0.9375] precision 0.9517931191615402 [1,0.85,1,0.95,0.909091,1,0.952381,0.909091,0.947368,1] precision 0.9559523809523809 [1,0.9,1,1,0.95,1,0.952381,0.952381,0.9,0.904762] precision 0.9529664081151494 [1,0.947368,1,0.826087,0.952381,0.894737,1,0.909091,1,1] precision 0.9466686602870814 [1,0.909091,1,0.947368,1,0.909091,0.9375,0.95,0.863636,0.95] predictive_accuracy 0.96 predictive_accuracy 0.95 predictive_accuracy 0.97 predictive_accuracy 0.96 predictive_accuracy 0.945 predictive_accuracy 0.94 predictive_accuracy 0.95 predictive_accuracy 0.955 predictive_accuracy 0.95 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 0.16117194367764826 relative_absolute_error 0.15220102999343027 relative_absolute_error 0.1442645056150208 relative_absolute_error 0.11963694413449791 relative_absolute_error 0.17064377586161344 relative_absolute_error 0.17778551055325575 relative_absolute_error 0.16622600461142575 relative_absolute_error 0.15892457724021333 relative_absolute_error 0.14225181202934892 relative_absolute_error 0.16561367474485794 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 0.09685574811378377 root_mean_squared_error 0.09928447707032369 root_mean_squared_error 0.08932780187280144 root_mean_squared_error 0.08404718943139235 root_mean_squared_error 0.10943417239852324 root_mean_squared_error 0.10889978424171833 root_mean_squared_error 0.10257633437248768 root_mean_squared_error 0.09649656446675857 root_mean_squared_error 0.09120160326206052 root_mean_squared_error 0.10114617669583785 root_relative_squared_error 0.3228524937126127 root_relative_squared_error 0.33094825690107915 root_relative_squared_error 0.297759339576005 root_relative_squared_error 0.28015729810464135 root_relative_squared_error 0.36478057466174435 root_relative_squared_error 0.36299928080572796 root_relative_squared_error 0.3419211145749592 root_relative_squared_error 0.32165521488919546 root_relative_squared_error 0.3040053442068686 root_relative_squared_error 0.3371539223194597 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 0.9600000000000002 [0.95,1,1,1,1,0.9,0.9,1,0.85,1] unweighted_recall 0.95 [1,0.9,1,1,0.9,0.9,0.95,0.95,0.95,0.95] unweighted_recall 0.97 [1,1,1,0.95,1,0.9,1,0.9,1,0.95] unweighted_recall 0.96 [0.95,1,1,0.95,0.95,0.85,1,1,0.95,0.95] unweighted_recall 0.945 [1,1,0.9,0.9,0.95,0.9,1,0.95,0.9,0.95] unweighted_recall 0.9400000000000001 [1,1,1,0.9,0.9,0.9,0.95,1,1,0.75] unweighted_recall 0.95 [0.95,0.85,0.95,0.95,1,0.95,1,1,0.9,0.95] unweighted_recall 0.9549999999999998 [0.95,0.9,0.95,1,0.95,0.95,1,1,0.9,0.95] unweighted_recall 0.95 [1,0.9,1,0.95,1,0.85,0.95,1,0.95,0.9] unweighted_recall 0.945 [1,1,1,0.9,0.95,1,0.75,0.95,0.95,0.95] usercpu_time_millis 4684.909999999945 usercpu_time_millis 4487.492000000202 usercpu_time_millis 5007.958000001963 usercpu_time_millis 4516.616000000795 usercpu_time_millis 4736.622000000352 usercpu_time_millis 4721.671999996033 usercpu_time_millis 4935.001999998349 usercpu_time_millis 5006.956000001082 usercpu_time_millis 4896.32999999958 usercpu_time_millis 4608.5539999985485 usercpu_time_millis_testing 2.260000001115259 usercpu_time_millis_testing 2.322000000276603 usercpu_time_millis_testing 2.3240000009536743 usercpu_time_millis_testing 2.351999999518739 usercpu_time_millis_testing 2.373999999690568 usercpu_time_millis_testing 3.0579999984183814 usercpu_time_millis_testing 2.2979999994277023 usercpu_time_millis_testing 2.351999999518739 usercpu_time_millis_testing 2.1159999996598344 usercpu_time_millis_testing 2.4300000004586764 usercpu_time_millis_training 4682.64999999883 usercpu_time_millis_training 4485.1699999999255 usercpu_time_millis_training 5005.63400000101 usercpu_time_millis_training 4514.264000001276 usercpu_time_millis_training 4734.248000000662 usercpu_time_millis_training 4718.613999997615 usercpu_time_millis_training 4932.703999998921 usercpu_time_millis_training 5004.604000001564 usercpu_time_millis_training 4894.21399999992 usercpu_time_millis_training 4606.12399999809 wall_clock_time_millis 2363.66868019104 wall_clock_time_millis 2176.9967079162598 wall_clock_time_millis 2460.9999656677246 wall_clock_time_millis 2199.657917022705 wall_clock_time_millis 2322.570562362671 wall_clock_time_millis 2339.303970336914 wall_clock_time_millis 2406.8450927734375 wall_clock_time_millis 2961.6129398345947 wall_clock_time_millis 2385.539770126343 wall_clock_time_millis 2245.896816253662 wall_clock_time_millis_testing 1.0499954223632812 wall_clock_time_millis_testing 1.0898113250732422 wall_clock_time_millis_testing 1.0838508605957031 wall_clock_time_millis_testing 1.1000633239746094 wall_clock_time_millis_testing 1.100778579711914 wall_clock_time_millis_testing 1.447916030883789 wall_clock_time_millis_testing 1.0700225830078125 wall_clock_time_millis_testing 1.1019706726074219 wall_clock_time_millis_testing 0.9808540344238281 wall_clock_time_millis_testing 1.1730194091796875 wall_clock_time_millis_training 2362.6186847686768 wall_clock_time_millis_training 2175.9068965911865 wall_clock_time_millis_training 2459.916114807129 wall_clock_time_millis_training 2198.5578536987305 wall_clock_time_millis_training 2321.469783782959 wall_clock_time_millis_training 2337.8560543060303 wall_clock_time_millis_training 2405.7750701904297 wall_clock_time_millis_training 2960.5109691619873 wall_clock_time_millis_training 2384.558916091919 wall_clock_time_millis_training 2244.7237968444824 weighted_recall 0.96 [0.95,1,1,1,1,0.9,0.9,1,0.85,1] weighted_recall 0.95 [1,0.9,1,1,0.9,0.9,0.95,0.95,0.95,0.95] weighted_recall 0.97 [1,1,1,0.95,1,0.9,1,0.9,1,0.95] weighted_recall 0.96 [0.95,1,1,0.95,0.95,0.85,1,1,0.95,0.95] weighted_recall 0.945 [1,1,0.9,0.9,0.95,0.9,1,0.95,0.9,0.95] weighted_recall 0.94 [1,1,1,0.9,0.9,0.9,0.95,1,1,0.75] weighted_recall 0.95 [0.95,0.85,0.95,0.95,1,0.95,1,1,0.9,0.95] weighted_recall 0.955 [0.95,0.9,0.95,1,0.95,0.95,1,1,0.9,0.95] weighted_recall 0.95 [1,0.9,1,0.95,1,0.85,0.95,1,0.95,0.9] weighted_recall 0.945 [1,1,1,0.9,0.95,1,0.75,0.95,0.95,0.95]