10559421 8323 Heinrich Peters 3903 Supervised Classification 17494 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(4) 8270435 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 memory null 17494 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": "svc", "step_name": "svc"}}] 17494 verbose false 17494 C 86.04139203556576 17495 cache_size 200 17495 class_weight null 17495 coef0 0.0 17495 decision_function_shape "ovr" 17495 degree 3 17495 gamma 0.005047142445217977 17495 kernel "rbf" 17495 max_iter -1 17495 probability true 17495 random_state 1 17495 shrinking true 17495 tol 0.001 17495 verbose false 17495 openml-python Sklearn_0.21.2. 1050 pc3 https://www.openml.org/data/download/53933/pc3.arff -1 22043807 description https://api.openml.org/data/download/22043807/description.xml -1 22043808 predictions https://api.openml.org/data/download/22043808/predictions.arff area_under_roc_curve 0.7261359586600141 [0.726136,0.726136] average_cost 0 f_measure 0.8525838436874605 [0.943371,0.056497] kappa 0.03757222236561231 kb_relative_information_score -0.03280203662296111 mean_absolute_error 0.1740596767192729 mean_prior_absolute_error 0.1841804999396983 weighted_recall 0.8931541906589892 [0.991447,0.03125] number_of_instances 1563 [1403,160] precision 0.8377452477516 [0.899741,0.294118] predictive_accuracy 0.893154190658989 prior_entropy 0.47645699262891783 relative_absolute_error 0.9450494312712854 root_mean_prior_squared_error 0.30313107457396465 root_mean_squared_error 0.29519707582758786 root_relative_squared_error 0.9738265080294799 total_cost 0 unweighted_recall 0.5113484497505345 [0.991447,0.03125] area_under_roc_curve 0.5345744680851063 [0.534574,0.534574] area_under_roc_curve 0.8297872340425533 [0.829787,0.829787] area_under_roc_curve 0.8475177304964537 [0.847518,0.847518] area_under_roc_curve 0.7111607142857144 [0.711161,0.711161] area_under_roc_curve 0.8058035714285714 [0.805804,0.805804] area_under_roc_curve 0.7064732142857143 [0.706473,0.706473] area_under_roc_curve 0.6825892857142858 [0.682589,0.682589] area_under_roc_curve 0.6897321428571429 [0.689732,0.689732] area_under_roc_curve 0.7767857142857143 [0.776786,0.776786] area_under_roc_curve 0.7417410714285714 [0.741741,0.741741] 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 0.8402461405592141 [0.935593,0] f_measure 0.8434756412463419 [0.939189,0] f_measure 0.8599918599918599 [0.945578,0.111111] f_measure 0.8457192524989134 [0.942373,0] f_measure 0.8730845228060965 [0.948805,0.210526] f_measure 0.8457192524989134 [0.942373,0] f_measure 0.8457192524989134 [0.942373,0] f_measure 0.8687741482262029 [0.945205,0.2] kappa -0.033252511257360166 kappa 0 kappa -0.02317161477190379 kappa 0.09037900874635584 kappa 0 kappa -0.012213740458014988 kappa 0.18410041841004185 kappa -0.012213740458014988 kappa -0.012213740458014988 kappa 0.16577540106951896 kb_relative_information_score -0.12205054873535856 kb_relative_information_score 0.07091262846969036 kb_relative_information_score -0.053603299046560506 kb_relative_information_score 0.03969493134517138 kb_relative_information_score -0.004140750006958869 kb_relative_information_score 0.0038706232595108643 kb_relative_information_score -0.0034079470462681518 kb_relative_information_score -0.100229460174675 kb_relative_information_score -0.08374787714049424 kb_relative_information_score -0.07530533525560112 mean_absolute_error 0.17372001378735763 mean_absolute_error 0.17024285884450668 mean_absolute_error 0.18070726353498018 mean_absolute_error 0.1685403270256072 mean_absolute_error 0.17164582348369548 mean_absolute_error 0.17035618018714527 mean_absolute_error 0.16909682243066543 mean_absolute_error 0.18440494034383487 mean_absolute_error 0.17564856945123838 mean_absolute_error 0.17621799947543415 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 0.8047812060550914 [0.896104,0] precision 0.8053831929319909 [0.896774,0] precision 0.8613053613053614 [0.902597,0.5] precision 0.80479735318445 [0.896774,0] precision 0.8836936483995308 [0.908497,0.666667] precision 0.80479735318445 [0.896774,0] precision 0.80479735318445 [0.896774,0] precision 0.8660593792172739 [0.907895,0.5] predictive_accuracy 0.8789808917197451 predictive_accuracy 0.8980891719745223 predictive_accuracy 0.8853503184713375 predictive_accuracy 0.8974358974358974 predictive_accuracy 0.8974358974358974 predictive_accuracy 0.891025641025641 predictive_accuracy 0.9038461538461539 predictive_accuracy 0.891025641025641 predictive_accuracy 0.891025641025641 predictive_accuracy 0.8974358974358974 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 0.9450653379303167 relative_absolute_error 0.9261490453313308 relative_absolute_error 0.9830771213741248 relative_absolute_error 0.9143061825622562 relative_absolute_error 0.9311530385145642 relative_absolute_error 0.9241569156272704 relative_absolute_error 0.9173250872860789 relative_absolute_error 1.0003693479589344 relative_absolute_error 0.952867339477055 relative_absolute_error 0.9559564125840488 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 0.30482463050257724 root_mean_squared_error 0.2850878751587083 root_mean_squared_error 0.29698386627506407 root_mean_squared_error 0.28171825395644773 root_mean_squared_error 0.2948449534635761 root_mean_squared_error 0.29601088010265547 root_mean_squared_error 0.28524992664211424 root_mean_squared_error 0.304284789759485 root_mean_squared_error 0.3070236319999974 root_mean_squared_error 0.2947421432324489 root_relative_squared_error 1.007576322804565 root_relative_squared_error 0.9423378696628966 root_relative_squared_error 0.98165922950633 root_relative_squared_error 0.9285714969622325 root_relative_squared_error 0.971838409348364 root_relative_squared_error 0.9756814199782873 root_relative_squared_error 0.9402122428012187 root_relative_squared_error 1.002953052426216 root_relative_squared_error 1.0119805499472292 root_relative_squared_error 0.9714995365601081 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 0.48936170212765956 [0.978723,0] unweighted_recall 0.5 [1,0] unweighted_recall 0.4929078014184397 [0.985816,0] unweighted_recall 0.5276785714285714 [0.992857,0.0625] unweighted_recall 0.5 [1,0] unweighted_recall 0.49642857142857144 [0.992857,0] unweighted_recall 0.5589285714285714 [0.992857,0.125] unweighted_recall 0.49642857142857144 [0.992857,0] unweighted_recall 0.49642857142857144 [0.992857,0] unweighted_recall 0.5553571428571429 [0.985714,0.125] usercpu_time_millis 498.6859999999922 usercpu_time_millis 575.4499999999894 usercpu_time_millis 542.8180000000111 usercpu_time_millis 526.1780000000158 usercpu_time_millis 529.6299999999974 usercpu_time_millis 518.4299999999951 usercpu_time_millis 550.1160000000027 usercpu_time_millis 500.5160000000046 usercpu_time_millis 485.25199999997426 usercpu_time_millis 574.5260000000201 usercpu_time_millis_testing 6.008000000008451 usercpu_time_millis_testing 5.903999999986809 usercpu_time_millis_testing 4.946000000018103 usercpu_time_millis_testing 5.636000000009744 usercpu_time_millis_testing 5.295999999987089 usercpu_time_millis_testing 5.356000000006134 usercpu_time_millis_testing 5.701999999985219 usercpu_time_millis_testing 5.361999999990985 usercpu_time_millis_testing 4.855999999989535 usercpu_time_millis_testing 5.374000000017531 usercpu_time_millis_training 492.67799999998374 usercpu_time_millis_training 569.5460000000026 usercpu_time_millis_training 537.871999999993 usercpu_time_millis_training 520.542000000006 usercpu_time_millis_training 524.3340000000103 usercpu_time_millis_training 513.0739999999889 usercpu_time_millis_training 544.4140000000175 usercpu_time_millis_training 495.15400000001364 usercpu_time_millis_training 480.3959999999847 usercpu_time_millis_training 569.1520000000025 wall_clock_time_millis 258.5470676422119 wall_clock_time_millis 295.41802406311035 wall_clock_time_millis 280.6832790374756 wall_clock_time_millis 269.4258689880371 wall_clock_time_millis 270.94268798828125 wall_clock_time_millis 263.8697624206543 wall_clock_time_millis 281.25548362731934 wall_clock_time_millis 252.83408164978027 wall_clock_time_millis 245.21327018737793 wall_clock_time_millis 298.21085929870605 wall_clock_time_millis_testing 3.0879974365234375 wall_clock_time_millis_testing 3.1430721282958984 wall_clock_time_millis_testing 2.4781227111816406 wall_clock_time_millis_testing 2.933025360107422 wall_clock_time_millis_testing 2.653837203979492 wall_clock_time_millis_testing 2.7260780334472656 wall_clock_time_millis_testing 2.863645553588867 wall_clock_time_millis_testing 2.7179718017578125 wall_clock_time_millis_testing 2.432107925415039 wall_clock_time_millis_testing 2.7549266815185547 wall_clock_time_millis_training 255.45907020568848 wall_clock_time_millis_training 292.27495193481445 wall_clock_time_millis_training 278.20515632629395 wall_clock_time_millis_training 266.4928436279297 wall_clock_time_millis_training 268.28885078430176 wall_clock_time_millis_training 261.14368438720703 wall_clock_time_millis_training 278.39183807373047 wall_clock_time_millis_training 250.11610984802246 wall_clock_time_millis_training 242.7811622619629 wall_clock_time_millis_training 295.4559326171875 weighted_recall 0.8789808917197452 [0.978723,0] weighted_recall 0.8980891719745223 [1,0] weighted_recall 0.8853503184713376 [0.985816,0] weighted_recall 0.8974358974358975 [0.992857,0.0625] weighted_recall 0.8974358974358975 [1,0] weighted_recall 0.8910256410256411 [0.992857,0] weighted_recall 0.9038461538461539 [0.992857,0.125] weighted_recall 0.8910256410256411 [0.992857,0] weighted_recall 0.8910256410256411 [0.992857,0] weighted_recall 0.8974358974358975 [0.985714,0.125]