10558049 8323 Heinrich Peters 3903 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275915 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 0.165918932915 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 57 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. 1050 pc3 https://www.openml.org/data/download/53933/pc3.arff -1 22041058 description https://api.openml.org/data/download/22041058/description.xml -1 22041059 predictions https://api.openml.org/data/download/22041059/predictions.arff area_under_roc_curve 0.8039825374198147 [0.803983,0.803983] average_cost 0 f_measure 0.8626928311292822 [0.945219,0.139037] kappa 0.11281161750240626 kb_relative_information_score -0.18547723397564522 mean_absolute_error 0.16862579037761066 mean_prior_absolute_error 0.1841804999396983 weighted_recall 0.8969929622520794 [0.990021,0.08125] number_of_instances 1563 [1403,160] precision 0.861014429086396 [0.904297,0.481481] predictive_accuracy 0.8969929622520794 prior_entropy 0.47645699262891783 relative_absolute_error 0.9155463821241645 root_mean_prior_squared_error 0.30313107457396465 root_mean_squared_error 0.28604430336146386 root_relative_squared_error 0.9436323998240188 total_cost 0 unweighted_recall 0.5356356913756236 [0.990021,0.08125] area_under_roc_curve 0.7788120567375887 [0.778812,0.778812] area_under_roc_curve 0.886081560283688 [0.886082,0.886082] area_under_roc_curve 0.8563829787234043 [0.856383,0.856383] area_under_roc_curve 0.7843749999999999 [0.784375,0.784375] area_under_roc_curve 0.7727678571428571 [0.772768,0.772768] area_under_roc_curve 0.8033482142857142 [0.803348,0.803348] area_under_roc_curve 0.7790178571428571 [0.779018,0.779018] area_under_roc_curve 0.7763392857142858 [0.776339,0.776339] area_under_roc_curve 0.8125 [0.8125,0.8125] area_under_roc_curve 0.8229910714285714 [0.822991,0.822991] 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 0.8653931953860217 [0.94198,0.190476] f_measure 0.8532952034316911 [0.938776,0.1] f_measure 0.8402461405592141 [0.935593,0] f_measure 0.8900065864319503 [0.955631,0.315789] f_measure 0.8638699286755118 [0.949153,0.117647] f_measure 0.8774928774928773 [0.952381,0.222222] f_measure 0.8730845228060965 [0.948805,0.210526] f_measure 0.8638699286755118 [0.949153,0.117647] f_measure 0.8486084362373021 [0.934708,0.095238] kappa 0.14918712145361815 kappa 0.06175298804780897 kappa -0.033252511257360166 kappa 0.2928870292887026 kappa 0.10687022900763347 kappa 0.20408163265306098 kappa 0.18410041841004185 kappa 0.10687022900763347 kappa 0 kappa 0.04878048780487801 kb_relative_information_score -0.36035112871732805 kb_relative_information_score -0.3144961605852105 kb_relative_information_score -0.2414936016056237 kb_relative_information_score -0.11350597534520275 kb_relative_information_score -0.038425110304348864 kb_relative_information_score 0.005194565470507082 kb_relative_information_score -0.21450005364728242 kb_relative_information_score -0.20504825914947297 kb_relative_information_score -0.1522941577080471 kb_relative_information_score -0.21909504857828163 mean_absolute_error 0.1813304950694041 mean_absolute_error 0.18339070949460354 mean_absolute_error 0.17354064575342215 mean_absolute_error 0.15925934799543415 mean_absolute_error 0.15509737040604424 mean_absolute_error 0.1527438834767699 mean_absolute_error 0.17005172009807804 mean_absolute_error 0.1706171331765224 mean_absolute_error 0.16466574632866887 mean_absolute_error 0.1753532591618748 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 0.8561347636607443 [0.907895,0.4] precision 0.8355189209441739 [0.901961,0.25] precision 0.8047812060550914 [0.896104,0] precision 0.9237472766884531 [0.915033,1] precision 0.913151364764268 [0.903226,1] precision 0.9184149184149183 [0.909091,1] precision 0.8836936483995308 [0.908497,0.666667] precision 0.913151364764268 [0.903226,1] precision 0.8287994566140262 [0.900662,0.2] predictive_accuracy 0.89171974522293 predictive_accuracy 0.8853503184713375 predictive_accuracy 0.8789808917197451 predictive_accuracy 0.9166666666666667 predictive_accuracy 0.9038461538461539 predictive_accuracy 0.9102564102564102 predictive_accuracy 0.9038461538461539 predictive_accuracy 0.9038461538461539 predictive_accuracy 0.8974358974358974 predictive_accuracy 0.8782051282051282 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 0.9864676030339417 relative_absolute_error 0.9976755070601484 relative_absolute_error 0.944089546437388 relative_absolute_error 0.8639582530354042 relative_absolute_error 0.8413801442301058 relative_absolute_error 0.8286128280157017 relative_absolute_error 0.9225052649707761 relative_absolute_error 0.9255725467450943 relative_absolute_error 0.8932871591121068 relative_absolute_error 0.9512653251217705 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 0.2970072513221593 root_mean_squared_error 0.28958097606406863 root_mean_squared_error 0.2880869946823646 root_mean_squared_error 0.2728231519621719 root_mean_squared_error 0.27862459241964266 root_mean_squared_error 0.27371688189781374 root_mean_squared_error 0.28748089117745895 root_mean_squared_error 0.28793953674321576 root_mean_squared_error 0.2868264881170526 root_mean_squared_error 0.2971167890603117 root_relative_squared_error 0.9817365271306133 root_relative_squared_error 0.9571894978950007 root_relative_squared_error 0.9522512477790767 root_relative_squared_error 0.899252352538835 root_relative_squared_error 0.918374479608967 root_relative_squared_error 0.9021981756531129 root_relative_squared_error 0.9475657246901663 root_relative_squared_error 0.949077466274493 root_relative_squared_error 0.945408746855453 root_relative_squared_error 0.979326606336973 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 0.5518617021276595 [0.978723,0.125] unweighted_recall 0.5206117021276595 [0.978723,0.0625] unweighted_recall 0.48936170212765956 [0.978723,0] unweighted_recall 0.59375 [1,0.1875] unweighted_recall 0.53125 [1,0.0625] unweighted_recall 0.5625 [1,0.125] unweighted_recall 0.5589285714285714 [0.992857,0.125] unweighted_recall 0.53125 [1,0.0625] unweighted_recall 0.5 [1,0] unweighted_recall 0.5169642857142858 [0.971429,0.0625] usercpu_time_millis 31.294000000343658 usercpu_time_millis 29.67999999964377 usercpu_time_millis 28.92000000065309 usercpu_time_millis 27.440000001661247 usercpu_time_millis 30.42200000345474 usercpu_time_millis 25.98999999827356 usercpu_time_millis 27.981999999610707 usercpu_time_millis 36.44399999757297 usercpu_time_millis 25.524000000586966 usercpu_time_millis 23.133999999117805 usercpu_time_millis_testing 0.844000001961831 usercpu_time_millis_testing 1.4620000001741573 usercpu_time_millis_testing 0.8320000015373807 usercpu_time_millis_testing 0.8259999995061662 usercpu_time_millis_testing 1.1060000033467077 usercpu_time_millis_testing 0.7619999996677507 usercpu_time_millis_testing 1.0180000026593916 usercpu_time_millis_testing 1.1859999976877589 usercpu_time_millis_testing 0.7640000003448222 usercpu_time_millis_testing 1.1999999987892807 usercpu_time_millis_training 30.449999998381827 usercpu_time_millis_training 28.217999999469612 usercpu_time_millis_training 28.08799999911571 usercpu_time_millis_training 26.61400000215508 usercpu_time_millis_training 29.316000000108033 usercpu_time_millis_training 25.22799999860581 usercpu_time_millis_training 26.963999996951316 usercpu_time_millis_training 35.257999999885214 usercpu_time_millis_training 24.760000000242144 usercpu_time_millis_training 21.934000000328524 wall_clock_time_millis 16.239166259765625 wall_clock_time_millis 15.871763229370117 wall_clock_time_millis 16.82591438293457 wall_clock_time_millis 14.573097229003906 wall_clock_time_millis 33.82420539855957 wall_clock_time_millis 14.332771301269531 wall_clock_time_millis 15.13814926147461 wall_clock_time_millis 31.644582748413086 wall_clock_time_millis 15.707015991210938 wall_clock_time_millis 11.996984481811523 wall_clock_time_millis_testing 0.4260540008544922 wall_clock_time_millis_testing 0.7398128509521484 wall_clock_time_millis_testing 0.4181861877441406 wall_clock_time_millis_testing 0.41604042053222656 wall_clock_time_millis_testing 0.5581378936767578 wall_clock_time_millis_testing 0.3838539123535156 wall_clock_time_millis_testing 0.5130767822265625 wall_clock_time_millis_testing 0.5967617034912109 wall_clock_time_millis_testing 0.38504600524902344 wall_clock_time_millis_testing 0.6420612335205078 wall_clock_time_millis_training 15.813112258911133 wall_clock_time_millis_training 15.131950378417969 wall_clock_time_millis_training 16.40772819519043 wall_clock_time_millis_training 14.15705680847168 wall_clock_time_millis_training 33.26606750488281 wall_clock_time_millis_training 13.948917388916016 wall_clock_time_millis_training 14.625072479248047 wall_clock_time_millis_training 31.047821044921875 wall_clock_time_millis_training 15.321969985961914 wall_clock_time_millis_training 11.354923248291016 weighted_recall 0.89171974522293 [0.978723,0.125] weighted_recall 0.8853503184713376 [0.978723,0.0625] weighted_recall 0.8789808917197452 [0.978723,0] weighted_recall 0.9166666666666666 [1,0.1875] weighted_recall 0.9038461538461539 [1,0.0625] weighted_recall 0.9102564102564102 [1,0.125] weighted_recall 0.9038461538461539 [0.992857,0.125] weighted_recall 0.9038461538461539 [1,0.0625] weighted_recall 0.8974358974358975 [1,0] weighted_recall 0.8782051282051282 [0.971429,0.0625]