10558880 8323 Heinrich Peters 14970 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275910 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 100000.0 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 67 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. 1478 har https://www.openml.org/data/download/1589271/php88ZB4Q -1 22042724 description https://api.openml.org/data/download/22042724/description.xml -1 22042725 predictions https://api.openml.org/data/download/22042725/predictions.arff area_under_roc_curve 0.9987379575265357 [0.999991,0.999972,0.999996,0.996108,0.996847,0.999995] average_cost 0 f_measure 0.9805498719771178 [0.995923,0.996106,0.993922,0.950986,0.953494,0.998456] kappa 0.976519291394725 kb_relative_information_score 0.9788918387593403 mean_absolute_error 0.007457262593278529 mean_prior_absolute_error 0.27709458719152297 weighted_recall 0.9804835420914652 [0.993031,0.994171,0.98862,0.949916,0.962749,0.997942] number_of_instances 10299 [1722,1544,1406,1777,1906,1944] precision 0.9806610951567802 [0.998832,0.998049,0.999281,0.952059,0.944416,0.99897] predictive_accuracy 0.9804835420914653 prior_entropy 2.575922879508845 relative_absolute_error 0.026912335852032353 root_mean_prior_squared_error 0.3722191487615371 root_mean_squared_error 0.07423957454406521 root_relative_squared_error 0.19945125013336412 total_cost 0 unweighted_recall 0.9810716217333483 [0.993031,0.994171,0.98862,0.949916,0.962749,0.997942] area_under_roc_curve 0.9990857261555377 [1,1,1,0.997013,0.997853,1] area_under_roc_curve 0.9990063574801973 [1,1,1,0.996835,0.997591,1] area_under_roc_curve 0.9983957884512933 [0.999953,0.999926,1,0.994329,0.996736,1] area_under_roc_curve 0.9985948376342195 [1,1,1,0.994731,0.997318,1] area_under_roc_curve 0.9986613169730995 [0.999993,0.999652,0.99996,0.995061,0.997694,0.999994] area_under_roc_curve 0.9991636225117696 [1,1,1,0.997488,0.99782,1] area_under_roc_curve 0.9991965547329282 [1,1,1,0.997725,0.997776,1] area_under_roc_curve 0.998492148417313 [1,1,1,0.996357,0.995332,0.999914] area_under_roc_curve 0.998097496149325 [1,1,1,0.995999,0.993448,1] area_under_roc_curve 0.9987556206797069 [0.999986,1,1,0.995995,0.99702,1] 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 0.9893369817166389 [1,0.996764,0.996416,0.971591,0.974227,1] f_measure 0.982587689072556 [0.997085,1,0.996416,0.949721,0.960836,0.997416] f_measure 0.9776875829629939 [0.997101,0.996764,1,0.937853,0.945455,0.997416] f_measure 0.98448444533666 [1,1,0.996441,0.957746,0.958115,1] f_measure 0.9758021406331239 [0.988304,0.980519,0.992908,0.951841,0.950904,0.994845] f_measure 0.9835674771297226 [0.997101,1,0.989247,0.96338,0.955844,1] f_measure 0.9864290237118887 [1,1,0.989247,0.963173,0.968912,1] f_measure 0.9728748699022381 [0.991202,1,1,0.926966,0.931937,0.997442] f_measure 0.9739728519534555 [0.991202,0.996743,0.989247,0.936288,0.937173,1] f_measure 0.9787327854026165 [0.997101,0.990164,0.98917,0.951841,0.951157,0.997429] kappa 0.9871505674504479 kappa 0.97897599248851 kappa 0.9731360208652265 kappa 0.9813136885168761 kappa 0.9708000226795941 kappa 0.98014239411734 kappa 0.9836457316153413 kappa 0.9672960624867466 kappa 0.9684600187357243 kappa 0.9742706435521469 kb_relative_information_score 0.9865721404337957 kb_relative_information_score 0.9802315789171374 kb_relative_information_score 0.9732004153484958 kb_relative_information_score 0.9808215874787234 kb_relative_information_score 0.9763409376110217 kb_relative_information_score 0.9813398442604019 kb_relative_information_score 0.9844773408396221 kb_relative_information_score 0.9713185625700114 kb_relative_information_score 0.9752543128287653 kb_relative_information_score 0.979361665737611 mean_absolute_error 0.004934077079071073 mean_absolute_error 0.007017900314064155 mean_absolute_error 0.009084511517595267 mean_absolute_error 0.006577030875744056 mean_absolute_error 0.008792814017873117 mean_absolute_error 0.006750134268117597 mean_absolute_error 0.005364574029602727 mean_absolute_error 0.009741234188635919 mean_absolute_error 0.008752997009318671 mean_absolute_error 0.007557449901994575 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.27709199511972005 mean_prior_absolute_error 0.2771076974290587 mean_prior_absolute_error 0.27710210740693414 mean_prior_absolute_error 0.27710210740693414 mean_prior_absolute_error 0.27709513558158777 mean_prior_absolute_error 0.2770910843857784 mean_prior_absolute_error 0.2770910843857784 mean_prior_absolute_error 0.27708065643484137 number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,140,178,191,194] number_of_instances 1030 [172,155,141,178,190,194] number_of_instances 1030 [173,154,141,178,190,194] number_of_instances 1030 [173,154,141,178,190,194] number_of_instances 1030 [172,154,141,178,190,195] number_of_instances 1030 [172,154,141,177,191,195] number_of_instances 1030 [172,154,141,177,191,195] number_of_instances 1029 [172,154,140,177,191,195] precision 0.9894899896165957 [1,1,1,0.982759,0.959391,1] precision 0.9826725997842504 [1,1,1,0.944444,0.958333,1] precision 0.9777453504791203 [0.99422,1,1,0.943182,0.938144,1] precision 0.9845186426965059 [1,1,1,0.960452,0.953125,1] precision 0.9760601251786507 [1,0.980519,0.992908,0.96,0.93401,0.994845] precision 0.9837360708514238 [1,1,1,0.966102,0.94359,1] precision 0.9865920348722013 [1,1,1,0.971429,0.954082,1] precision 0.9729723559435164 [1,1,1,0.921788,0.931937,0.994898] precision 0.9743404390037991 [1,1,1,0.918478,0.937173,1] precision 0.9790281066676018 [0.99422,1,1,0.954545,0.934343,1] predictive_accuracy 0.9893203883495145 predictive_accuracy 0.9825242718446602 predictive_accuracy 0.9776699029126213 predictive_accuracy 0.9844660194174757 predictive_accuracy 0.9757281553398058 predictive_accuracy 0.983495145631068 predictive_accuracy 0.9864077669902913 predictive_accuracy 0.9728155339805825 predictive_accuracy 0.9737864077669903 predictive_accuracy 0.9786200194363459 prior_entropy 2.5758425283766972 prior_entropy 2.5758425283766972 prior_entropy 2.5758425283766972 prior_entropy 2.57626843373114 prior_entropy 2.5761156998831467 prior_entropy 2.5761156998831467 prior_entropy 2.575945945073779 prior_entropy 2.575847838744184 prior_entropy 2.575847838744184 prior_entropy 2.5755594010061413 relative_absolute_error 0.01780663882743802 relative_absolute_error 0.025326968796164643 relative_absolute_error 0.03278518209690693 relative_absolute_error 0.023734565790716863 relative_absolute_error 0.031731314135985844 relative_absolute_error 0.02435973631266827 relative_absolute_error 0.019360044045317368 relative_absolute_error 0.03515535048783361 relative_absolute_error 0.031588879984071824 relative_absolute_error 0.027275270671129635 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.37221566682901186 root_mean_prior_squared_error 0.3722367592572026 root_mean_prior_squared_error 0.3722292504897755 root_mean_prior_squared_error 0.3722292504897755 root_mean_prior_squared_error 0.3722198854102689 root_mean_prior_squared_error 0.37221444343150406 root_mean_prior_squared_error 0.37221444343150406 root_mean_prior_squared_error 0.3722004351798735 root_mean_squared_error 0.057756781665838024 root_mean_squared_error 0.07123275758894548 root_mean_squared_error 0.08513224959018789 root_mean_squared_error 0.07232297169556155 root_mean_squared_error 0.07649450326967379 root_mean_squared_error 0.06808381346865501 root_mean_squared_error 0.06426413391016704 root_mean_squared_error 0.08907522755142501 root_mean_squared_error 0.0806847722345023 root_mean_squared_error 0.07187226518028998 root_relative_squared_error 0.1551702059128271 root_relative_squared_error 0.1913749579532565 root_relative_squared_error 0.2287175344215048 root_relative_squared_error 0.19429293291689362 root_relative_squared_error 0.20550374042078395 root_relative_squared_error 0.18290828401870893 root_relative_squared_error 0.1726509959008066 root_relative_squared_error 0.23931158267322014 root_relative_squared_error 0.21676958983820338 root_relative_squared_error 0.1931009703026173 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 0.9894347471781343 [1,0.993548,0.992857,0.960674,0.989529,1] unweighted_recall 0.9833825858848514 [0.994186,1,0.992857,0.955056,0.963351,0.994845] unweighted_recall 0.9789762664560451 [1,0.993548,1,0.932584,0.95288,0.994845] unweighted_recall 0.9851869793217604 [1,1,0.992908,0.955056,0.963158,1] unweighted_recall 0.9762320888050177 [0.976879,0.980519,0.992908,0.94382,0.968421,0.994845] unweighted_recall 0.9836730445615767 [0.99422,1,0.978723,0.960674,0.968421,1] unweighted_recall 0.9863316850577316 [1,1,0.978723,0.955056,0.984211,1] unweighted_recall 0.9744497836900434 [0.982558,1,1,0.932203,0.931937,1] unweighted_recall 0.974460512008802 [0.982558,0.993506,0.978723,0.954802,0.937173,1] unweighted_recall 0.97861693896169 [1,0.980519,0.978571,0.949153,0.968586,0.994872] usercpu_time_millis 113025.94599999793 usercpu_time_millis 98936.84200000098 usercpu_time_millis 89388.68000000002 usercpu_time_millis 99985.49200000161 usercpu_time_millis 92693.69600000027 usercpu_time_millis 96971.32000000238 usercpu_time_millis 115817.84599999992 usercpu_time_millis 106127.47800000034 usercpu_time_millis 110159.32600000087 usercpu_time_millis 106161.01000000162 usercpu_time_millis_testing 18.40999999876658 usercpu_time_millis_testing 23.387999999613385 usercpu_time_millis_testing 17.299999999522697 usercpu_time_millis_testing 23.39600000050268 usercpu_time_millis_testing 20.599999999831198 usercpu_time_millis_testing 18.440000001646695 usercpu_time_millis_testing 18.7580000001617 usercpu_time_millis_testing 19.098000000667525 usercpu_time_millis_testing 21.10999999968044 usercpu_time_millis_testing 21.220000000539585 usercpu_time_millis_training 113007.53599999916 usercpu_time_millis_training 98913.45400000137 usercpu_time_millis_training 89371.3800000005 usercpu_time_millis_training 99962.09600000111 usercpu_time_millis_training 92673.09600000044 usercpu_time_millis_training 96952.88000000073 usercpu_time_millis_training 115799.08799999976 usercpu_time_millis_training 106108.37999999967 usercpu_time_millis_training 110138.2160000012 usercpu_time_millis_training 106139.79000000108 wall_clock_time_millis 59358.00504684448 wall_clock_time_millis 51921.257972717285 wall_clock_time_millis 46701.04908943176 wall_clock_time_millis 53173.82311820984 wall_clock_time_millis 48600.30555725098 wall_clock_time_millis 50044.291496276855 wall_clock_time_millis 60365.46611785889 wall_clock_time_millis 55508.67962837219 wall_clock_time_millis 60972.6037979126 wall_clock_time_millis 56926.94616317749 wall_clock_time_millis_testing 8.90493392944336 wall_clock_time_millis_testing 11.250019073486328 wall_clock_time_millis_testing 9.035110473632812 wall_clock_time_millis_testing 12.386083602905273 wall_clock_time_millis_testing 11.836767196655273 wall_clock_time_millis_testing 9.053230285644531 wall_clock_time_millis_testing 9.43613052368164 wall_clock_time_millis_testing 9.239673614501953 wall_clock_time_millis_testing 10.28585433959961 wall_clock_time_millis_testing 13.24009895324707 wall_clock_time_millis_training 59349.10011291504 wall_clock_time_millis_training 51910.0079536438 wall_clock_time_millis_training 46692.01397895813 wall_clock_time_millis_training 53161.43703460693 wall_clock_time_millis_training 48588.46879005432 wall_clock_time_millis_training 50035.23826599121 wall_clock_time_millis_training 60356.029987335205 wall_clock_time_millis_training 55499.43995475769 wall_clock_time_millis_training 60962.317943573 wall_clock_time_millis_training 56913.70606422424 weighted_recall 0.9893203883495145 [1,0.993548,0.992857,0.960674,0.989529,1] weighted_recall 0.9825242718446602 [0.994186,1,0.992857,0.955056,0.963351,0.994845] weighted_recall 0.9776699029126213 [1,0.993548,1,0.932584,0.95288,0.994845] weighted_recall 0.9844660194174757 [1,1,0.992908,0.955056,0.963158,1] weighted_recall 0.9757281553398058 [0.976879,0.980519,0.992908,0.94382,0.968421,0.994845] weighted_recall 0.983495145631068 [0.99422,1,0.978723,0.960674,0.968421,1] weighted_recall 0.9864077669902913 [1,1,0.978723,0.955056,0.984211,1] weighted_recall 0.9728155339805825 [0.982558,1,1,0.932203,0.931937,1] weighted_recall 0.9737864077669903 [0.982558,0.993506,0.978723,0.954802,0.937173,1] weighted_recall 0.9786200194363459 [1,0.980519,0.978571,0.949153,0.968586,0.994872]