10550368 8323 Heinrich Peters 3903 Supervised Classification 18601 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(2) 8275617 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 "warn" 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. 1050 pc3 https://www.openml.org/data/download/53933/pc3.arff -1 22025691 description https://api.openml.org/data/download/22025691/description.xml -1 22025692 predictions https://api.openml.org/data/download/22025692/predictions.arff area_under_roc_curve 0.8107181040627227 [0.810718,0.810718] average_cost 0 f_measure 0.8730539900079424 [0.946648,0.227723] kappa 0.19338639566503282 kb_relative_information_score -0.11504863535285051 mean_absolute_error 0.1574361235775163 mean_prior_absolute_error 0.1841804999396983 weighted_recall 0.9001919385796545 [0.986458,0.14375] number_of_instances 1563 [1403,160] precision 0.8728391436201861 [0.909928,0.547619] predictive_accuracy 0.9001919385796545 prior_entropy 0.47645699262891783 relative_absolute_error 0.8547925737472846 root_mean_prior_squared_error 0.30313107457396465 root_mean_squared_error 0.2829010130510448 root_relative_squared_error 0.9332629901063355 total_cost 0 unweighted_recall 0.5651037954383464 [0.986458,0.14375] area_under_roc_curve 0.7575354609929078 [0.757535,0.757535] area_under_roc_curve 0.8891843971631206 [0.889184,0.889184] area_under_roc_curve 0.875886524822695 [0.875887,0.875887] area_under_roc_curve 0.7977678571428571 [0.797768,0.797768] area_under_roc_curve 0.7767857142857143 [0.776786,0.776786] area_under_roc_curve 0.8087053571428572 [0.808705,0.808705] area_under_roc_curve 0.803125 [0.803125,0.803125] area_under_roc_curve 0.7999999999999999 [0.8,0.8] area_under_roc_curve 0.8267857142857142 [0.826786,0.826786] area_under_roc_curve 0.8238839285714286 [0.823884,0.823884] 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 0.8722089149134803 [0.941581,0.26087] f_measure 0.8532952034316911 [0.938776,0.1] f_measure 0.8653931953860217 [0.94198,0.190476] f_measure 0.8964162984781543 [0.955326,0.380952] f_measure 0.8638699286755118 [0.949153,0.117647] f_measure 0.8964162984781543 [0.955326,0.380952] f_measure 0.8730845228060965 [0.948805,0.210526] f_measure 0.8774928774928773 [0.952381,0.222222] f_measure 0.8774928774928773 [0.952381,0.222222] f_measure 0.8522079772079771 [0.930556,0.166667] kappa 0.21198700915264287 kappa 0.06175298804780897 kappa 0.14918712145361815 kappa 0.34916559691912685 kappa 0.10687022900763347 kappa 0.34916559691912685 kappa 0.18410041841004185 kappa 0.20408163265306098 kappa 0.20408163265306098 kappa 0.10550458715596356 kb_relative_information_score -0.3585235768089861 kb_relative_information_score -0.22977898552419826 kb_relative_information_score -0.12937530529672736 kb_relative_information_score -0.00903057840904544 kb_relative_information_score 0.014592393345544432 kb_relative_information_score 0.060271861001800334 kb_relative_information_score -0.09174341564366127 kb_relative_information_score -0.10613964408095444 kb_relative_information_score -0.09850824563161964 kb_relative_information_score -0.20146688294653659 mean_absolute_error 0.17688757026126353 mean_absolute_error 0.17289026881374547 mean_absolute_error 0.1582188607079352 mean_absolute_error 0.14384514274859905 mean_absolute_error 0.1461950273416318 mean_absolute_error 0.1418186860976905 mean_absolute_error 0.15408625178494129 mean_absolute_error 0.15802174411357506 mean_absolute_error 0.15401235983850237 mean_absolute_error 0.16815655272721278 mean_prior_absolute_error 0.18381799312183292 mean_prior_absolute_error 0.18381799312183292 mean_prior_absolute_error 0.18381799312183292 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 mean_prior_absolute_error 0.18433685590235094 number_of_instances 157 [141,16] number_of_instances 157 [141,16] number_of_instances 157 [141,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] number_of_instances 156 [140,16] precision 0.8639308462238399 [0.913333,0.428571] precision 0.8355189209441739 [0.901961,0.25] precision 0.8561347636607443 [0.907895,0.4] precision 0.9081677704194261 [0.92053,0.8] precision 0.913151364764268 [0.903226,1] precision 0.9081677704194261 [0.92053,0.8] precision 0.8836936483995308 [0.908497,0.666667] precision 0.9184149184149183 [0.909091,1] precision 0.9184149184149183 [0.909091,1] precision 0.8381843381843382 [0.905405,0.25] predictive_accuracy 0.89171974522293 predictive_accuracy 0.8853503184713375 predictive_accuracy 0.89171974522293 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.9038461538461539 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.9038461538461539 predictive_accuracy 0.9102564102564102 predictive_accuracy 0.9102564102564102 predictive_accuracy 0.8717948717948718 prior_entropy 0.47503096657936333 prior_entropy 0.47503096657936333 prior_entropy 0.47503096657936333 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 prior_entropy 0.4770720643041321 relative_absolute_error 0.9622973641324875 relative_absolute_error 0.940551389325393 relative_absolute_error 0.8607365254122274 relative_absolute_error 0.7803384843712338 relative_absolute_error 0.7930862584478274 relative_absolute_error 0.769345258730117 relative_absolute_error 0.8358949762415696 relative_absolute_error 0.8572444362254078 relative_absolute_error 0.8354941234328505 relative_absolute_error 0.9122242641281167 root_mean_prior_squared_error 0.30253254627312504 root_mean_prior_squared_error 0.30253254627312504 root_mean_prior_squared_error 0.30253254627312504 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_prior_squared_error 0.30338886653108843 root_mean_squared_error 0.3036463675853245 root_mean_squared_error 0.2883750649505446 root_mean_squared_error 0.2750837534002865 root_mean_squared_error 0.26200306587972966 root_mean_squared_error 0.27983188940972903 root_mean_squared_error 0.2732091207962085 root_mean_squared_error 0.28165314026621646 root_mean_squared_error 0.2815520652544057 root_mean_squared_error 0.2831175610042032 root_mean_squared_error 0.29812254705957236 root_relative_squared_error 1.0036816578114338 root_relative_squared_error 0.9532034437385817 root_relative_squared_error 0.9092699505855549 root_relative_squared_error 0.8635882683350943 root_relative_squared_error 0.9223538510469845 root_relative_squared_error 0.900524544358033 root_relative_squared_error 0.9283568757370841 root_relative_squared_error 0.9280237224049712 root_relative_squared_error 0.9331837527241363 root_relative_squared_error 0.9826416851358769 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 0.5795656028368794 [0.971631,0.1875] unweighted_recall 0.5206117021276595 [0.978723,0.0625] unweighted_recall 0.5518617021276595 [0.978723,0.125] unweighted_recall 0.6214285714285714 [0.992857,0.25] unweighted_recall 0.53125 [1,0.0625] unweighted_recall 0.6214285714285714 [0.992857,0.25] unweighted_recall 0.5589285714285714 [0.992857,0.125] unweighted_recall 0.5625 [1,0.125] unweighted_recall 0.5625 [1,0.125] unweighted_recall 0.5410714285714286 [0.957143,0.125] usercpu_time_millis 34.792954043950886 usercpu_time_millis 38.020602019969374 usercpu_time_millis 30.24592698784545 usercpu_time_millis 27.780685981269926 usercpu_time_millis 26.833202980924398 usercpu_time_millis 28.131778992246836 usercpu_time_millis 27.841595001518726 usercpu_time_millis 27.67724299337715 usercpu_time_millis 27.262674004305154 usercpu_time_millis 28.56414602138102 usercpu_time_millis_testing 0.7521400111727417 usercpu_time_millis_testing 0.7008000393398106 usercpu_time_millis_testing 0.6366269662976265 usercpu_time_millis_testing 0.672616995871067 usercpu_time_millis_testing 0.6636499892920256 usercpu_time_millis_testing 0.6581839988939464 usercpu_time_millis_testing 0.6665720138698816 usercpu_time_millis_testing 0.7098820060491562 usercpu_time_millis_testing 0.6832859944552183 usercpu_time_millis_testing 0.6763130077160895 usercpu_time_millis_training 34.040814032778144 usercpu_time_millis_training 37.31980198062956 usercpu_time_millis_training 29.609300021547824 usercpu_time_millis_training 27.10806898539886 usercpu_time_millis_training 26.169552991632372 usercpu_time_millis_training 27.47359499335289 usercpu_time_millis_training 27.175022987648845 usercpu_time_millis_training 26.967360987327993 usercpu_time_millis_training 26.579388009849936 usercpu_time_millis_training 27.88783301366493 wall_clock_time_millis 34.801483154296875 wall_clock_time_millis 38.03062438964844 wall_clock_time_millis 30.25507926940918 wall_clock_time_millis 27.78792381286621 wall_clock_time_millis 26.842594146728516 wall_clock_time_millis 28.13887596130371 wall_clock_time_millis 27.8472900390625 wall_clock_time_millis 27.66871452331543 wall_clock_time_millis 27.269363403320312 wall_clock_time_millis 28.572797775268555 wall_clock_time_millis_testing 0.75531005859375 wall_clock_time_millis_testing 0.7042884826660156 wall_clock_time_millis_testing 0.6392002105712891 wall_clock_time_millis_testing 0.6761550903320312 wall_clock_time_millis_testing 0.6668567657470703 wall_clock_time_millis_testing 0.6611347198486328 wall_clock_time_millis_testing 0.6699562072753906 wall_clock_time_millis_testing 0.7131099700927734 wall_clock_time_millis_testing 0.6883144378662109 wall_clock_time_millis_testing 0.6802082061767578 wall_clock_time_millis_training 34.046173095703125 wall_clock_time_millis_training 37.32633590698242 wall_clock_time_millis_training 29.61587905883789 wall_clock_time_millis_training 27.11176872253418 wall_clock_time_millis_training 26.175737380981445 wall_clock_time_millis_training 27.477741241455078 wall_clock_time_millis_training 27.17733383178711 wall_clock_time_millis_training 26.955604553222656 wall_clock_time_millis_training 26.5810489654541 wall_clock_time_millis_training 27.892589569091797 weighted_recall 0.89171974522293 [0.971631,0.1875] weighted_recall 0.8853503184713376 [0.978723,0.0625] weighted_recall 0.89171974522293 [0.978723,0.125] weighted_recall 0.9166666666666666 [0.992857,0.25] weighted_recall 0.9038461538461539 [1,0.0625] weighted_recall 0.9166666666666666 [0.992857,0.25] weighted_recall 0.9038461538461539 [0.992857,0.125] weighted_recall 0.9102564102564102 [1,0.125] weighted_recall 0.9102564102564102 [1,0.125] weighted_recall 0.8717948717948718 [0.957143,0.125]