10558136 8323 Heinrich Peters 3918 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275914 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 1000 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. 1068 pc1 https://www.openml.org/data/download/53951/pc1.arff -1 22041232 description https://api.openml.org/data/download/22041232/description.xml -1 22041233 predictions https://api.openml.org/data/download/22041233/predictions.arff area_under_roc_curve 0.8120029195610591 [0.812003,0.812003] average_cost 0 f_measure 0.9041737401940048 [0.960868,0.14433] kappa 0.11910845702583002 kb_relative_information_score -0.2502542543533685 mean_absolute_error 0.11570037794819667 mean_prior_absolute_error 0.12988972477049396 weighted_recall 0.9251577998196574 [0.987403,0.090909] number_of_instances 1109 [1032,77] precision 0.8950531215921822 [0.935721,0.35] predictive_accuracy 0.9251577998196574 prior_entropy 0.36380676688852276 relative_absolute_error 0.8907585119040873 root_mean_prior_squared_error 0.25418837468358885 root_mean_squared_error 0.25350953380302527 root_relative_squared_error 0.9973293787278485 total_cost 0 unweighted_recall 0.5391560958421423 [0.987403,0.090909] area_under_roc_curve 0.7005494505494504 [0.700549,0.700549] area_under_roc_curve 0.8337912087912089 [0.833791,0.833791] area_under_roc_curve 0.8628640776699029 [0.862864,0.862864] area_under_roc_curve 0.6589805825242718 [0.658981,0.658981] area_under_roc_curve 0.758495145631068 [0.758495,0.758495] area_under_roc_curve 0.8592233009708737 [0.859223,0.859223] area_under_roc_curve 0.904126213592233 [0.904126,0.904126] area_under_roc_curve 0.8434466019417476 [0.843447,0.843447] area_under_roc_curve 0.787621359223301 [0.787621,0.787621] area_under_roc_curve 0.8668515950069348 [0.866852,0.866852] 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 0.926433442788583 [0.971963,0.25] f_measure 0.8973480522776298 [0.957746,0] f_measure 0.8841577426483087 [0.95283,0] f_measure 0.8887197056211139 [0.957746,0] f_measure 0.9073261941186469 [0.962264,0.2] f_measure 0.9233516152947432 [0.966825,0.363636] f_measure 0.8795525383203108 [0.947867,0] f_measure 0.9073261941186469 [0.962264,0.2] f_measure 0.9281426707264028 [0.966507,0.363636] kappa 0.23798627002288333 kappa -0.028836251287332113 kappa -0.02968460111317236 kappa -0.016276703967446498 kappa 0.17625231910946135 kappa 0 kappa 0.3375959079283886 kappa -0.0409207161125317 kappa 0.17625231910946135 kappa 0.33275563258232294 kb_relative_information_score -0.09361662397757296 kb_relative_information_score -0.46130387338147405 kb_relative_information_score -0.20314068264893972 kb_relative_information_score -0.45352281882682666 kb_relative_information_score -0.2168932200842552 kb_relative_information_score -0.07319894372479785 kb_relative_information_score 0.06907881321497307 kb_relative_information_score -0.35505693838606667 kb_relative_information_score -0.4241104035593367 kb_relative_information_score -0.3002910575359515 mean_absolute_error 0.09991269165184805 mean_absolute_error 0.12100355599093758 mean_absolute_error 0.12243133480754186 mean_absolute_error 0.1284320744791025 mean_absolute_error 0.1123771184978396 mean_absolute_error 0.10725450229382312 mean_absolute_error 0.09984419410993503 mean_absolute_error 0.12802663955076996 mean_absolute_error 0.12630950273872618 mean_absolute_error 0.11137318161065311 mean_prior_absolute_error 0.12441514421712434 mean_prior_absolute_error 0.12441514421712434 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1321591618621321 mean_prior_absolute_error 0.1249079453399885 number_of_instances 111 [104,7] number_of_instances 111 [104,7] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 111 [103,8] number_of_instances 110 [103,7] precision 0.9488943488943489 [0.945455,1] precision 0.8767666749318126 [0.93578,0] precision 0.8598231258781718 [0.926606,0] precision 0.8604422604422604 [0.927273,0] precision 0.9043722621704273 [0.93578,0.5] precision 0.9244244244244243 [0.944444,0.666667] precision 0.8591925258591925 [0.925926,0] precision 0.9043722621704273 [0.93578,0.5] precision 0.9240137221269297 [0.95283,0.5] predictive_accuracy 0.9459459459459459 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.927927927927928 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9369369369369369 predictive_accuracy 0.9009009009009009 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9363636363636364 prior_entropy 0.3400686187404258 prior_entropy 0.3400686187404258 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.37364719819991066 prior_entropy 0.3422054374333021 relative_absolute_error 0.8030589224530771 relative_absolute_error 0.9725789955261958 relative_absolute_error 0.9263930936189025 relative_absolute_error 0.9717984940997303 relative_absolute_error 0.8503165192215046 relative_absolute_error 0.811555557576179 relative_absolute_error 0.755484468145251 relative_absolute_error 0.9687307164094066 relative_absolute_error 0.9557377707229388 relative_absolute_error 0.891642091361803 root_mean_prior_squared_error 0.24318130946048286 root_mean_prior_squared_error 0.24318130946048286 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.25861393411013817 root_mean_prior_squared_error 0.24419244540685378 root_mean_squared_error 0.2288429221829167 root_mean_squared_error 0.2588328450266414 root_mean_squared_error 0.2696728482801927 root_mean_squared_error 0.26874388143472205 root_mean_squared_error 0.25722030014230574 root_mean_squared_error 0.24450146460541883 root_mean_squared_error 0.2271960415780269 root_mean_squared_error 0.27729411924379604 root_mean_squared_error 0.26424418932130317 root_mean_squared_error 0.23235682499829685 root_relative_squared_error 0.9410382841124715 root_relative_squared_error 1.0643615893050444 root_relative_squared_error 1.0427622518025066 root_relative_squared_error 1.039170152835886 root_relative_squared_error 0.9946111412262924 root_relative_squared_error 0.9454303591441089 root_relative_squared_error 0.8785143088278798 root_relative_squared_error 1.0722319359857169 root_relative_squared_error 1.021770888836822 root_relative_squared_error 0.9515315865368507 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 0.5714285714285714 [1,0.142857] unweighted_recall 0.49038461538461536 [0.980769,0] unweighted_recall 0.49029126213592233 [0.980583,0] unweighted_recall 0.49514563106796117 [0.990291,0] unweighted_recall 0.5576456310679612 [0.990291,0.125] unweighted_recall 0.5 [1,0] unweighted_recall 0.6201456310679612 [0.990291,0.25] unweighted_recall 0.4854368932038835 [0.970874,0] unweighted_recall 0.5576456310679612 [0.990291,0.125] unweighted_recall 0.6331484049930651 [0.980583,0.285714] usercpu_time_millis 216.1839999971562 usercpu_time_millis 146.23399999982212 usercpu_time_millis 240.19800000314717 usercpu_time_millis 185.70000000181608 usercpu_time_millis 288.3619999993243 usercpu_time_millis 212.75999999852502 usercpu_time_millis 229.16000000259373 usercpu_time_millis 226.46999999778927 usercpu_time_millis 243.35000000428408 usercpu_time_millis 269.84600000287173 usercpu_time_millis_testing 1.31399999736459 usercpu_time_millis_testing 1.194000000396045 usercpu_time_millis_testing 1.8900000031862874 usercpu_time_millis_testing 1.15400000140653 usercpu_time_millis_testing 1.15400000140653 usercpu_time_millis_testing 1.1579999991226941 usercpu_time_millis_testing 1.1520000007294584 usercpu_time_millis_testing 1.1659999981930014 usercpu_time_millis_testing 1.15400000140653 usercpu_time_millis_testing 1.150000000052387 usercpu_time_millis_training 214.86999999979162 usercpu_time_millis_training 145.03999999942607 usercpu_time_millis_training 238.30799999996088 usercpu_time_millis_training 184.54600000040955 usercpu_time_millis_training 287.2079999979178 usercpu_time_millis_training 211.60199999940232 usercpu_time_millis_training 228.00800000186427 usercpu_time_millis_training 225.30399999959627 usercpu_time_millis_training 242.19600000287755 usercpu_time_millis_training 268.69600000281935 wall_clock_time_millis 64.91851806640625 wall_clock_time_millis 41.8400764465332 wall_clock_time_millis 68.34197044372559 wall_clock_time_millis 51.13577842712402 wall_clock_time_millis 76.06196403503418 wall_clock_time_millis 57.10911750793457 wall_clock_time_millis 63.89427185058594 wall_clock_time_millis 70.70279121398926 wall_clock_time_millis 68.77589225769043 wall_clock_time_millis 72.36194610595703 wall_clock_time_millis_testing 0.3447532653808594 wall_clock_time_millis_testing 0.2970695495605469 wall_clock_time_millis_testing 0.4940032958984375 wall_clock_time_millis_testing 0.29087066650390625 wall_clock_time_millis_testing 0.2899169921875 wall_clock_time_millis_testing 0.2949237823486328 wall_clock_time_millis_testing 0.29015541076660156 wall_clock_time_millis_testing 0.29587745666503906 wall_clock_time_millis_testing 0.29087066650390625 wall_clock_time_millis_testing 0.28896331787109375 wall_clock_time_millis_training 64.57376480102539 wall_clock_time_millis_training 41.543006896972656 wall_clock_time_millis_training 67.84796714782715 wall_clock_time_millis_training 50.84490776062012 wall_clock_time_millis_training 75.77204704284668 wall_clock_time_millis_training 56.81419372558594 wall_clock_time_millis_training 63.604116439819336 wall_clock_time_millis_training 70.40691375732422 wall_clock_time_millis_training 68.48502159118652 wall_clock_time_millis_training 72.07298278808594 weighted_recall 0.9459459459459459 [1,0.142857] weighted_recall 0.918918918918919 [0.980769,0] weighted_recall 0.9099099099099099 [0.980583,0] weighted_recall 0.918918918918919 [0.990291,0] weighted_recall 0.9279279279279279 [0.990291,0.125] weighted_recall 0.9279279279279279 [1,0] weighted_recall 0.9369369369369369 [0.990291,0.25] weighted_recall 0.9009009009009009 [0.970874,0] weighted_recall 0.9279279279279279 [0.990291,0.125] weighted_recall 0.9363636363636364 [0.980583,0.285714]