10323303 8323 Heinrich Peters 10101 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8178995 add_indicator false 12737 copy true 12737 fill_value null 12737 missing_values NaN 12737 strategy "most_frequent" 12737 verbose 0 12737 copy true 13294 with_mean true 13294 with_std true 13294 C 9.62953169042274 13389 cache_size 200 13389 class_weight null 13389 coef0 0.0 13389 decision_function_shape "ovr" 13389 degree 3 13389 gamma 0.037086661651597304 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 55732 13389 shrinking true 13389 tol 0.001 13389 verbose false 13389 memory null 16345 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"}}] 16345 verbose false 16345 openml-python Sklearn_0.21.2. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 21568292 description https://api.openml.org/data/download/21568292/description.xml -1 21568293 predictions https://api.openml.org/data/download/21568293/predictions.arff area_under_roc_curve 0.5335403114527892 [0.53354,0.53354] average_cost 0 f_measure 0.6953627513410371 [0.864236,0.154589] kappa 0.09419286979627971 kb_relative_information_score 0.2728924898891723 mean_absolute_error 0.2339572192513369 mean_prior_absolute_error 0.3630445632798566 number_of_instances 748 [570,178] precision 0.7216290425291546 [0.774687,0.551724] predictive_accuracy 0.7660427807486632 prior_entropy 0.7916465694609683 recall 0.766042780748663 [0.977193,0.089888] relative_absolute_error 0.6444311330204071 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.4836912437199343 root_relative_squared_error 1.1358521635877277 total_cost 0 area_under_roc_curve 0.5014619883040936 [0.501462,0.501462] area_under_roc_curve 0.5555555555555556 [0.555556,0.555556] area_under_roc_curve 0.4824561403508772 [0.482456,0.482456] area_under_roc_curve 0.5014619883040936 [0.501462,0.501462] area_under_roc_curve 0.6023391812865497 [0.602339,0.602339] area_under_roc_curve 0.5277777777777778 [0.527778,0.527778] area_under_roc_curve 0.5833333333333334 [0.583333,0.583333] area_under_roc_curve 0.5380116959064327 [0.538012,0.538012] area_under_roc_curve 0.5206398348813209 [0.52064,0.52064] area_under_roc_curve 0.5206398348813209 [0.52064,0.52064] 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 0.6630681818181817 [0.84375,0.090909] f_measure 0.7144615384615385 [0.876923,0.2] f_measure 0.6430769230769231 [0.846154,0] f_measure 0.6630681818181817 [0.84375,0.090909] f_measure 0.7537144813420061 [0.88189,0.347826] f_measure 0.6866372036962636 [0.870229,0.105263] f_measure 0.7401993355481727 [0.883721,0.285714] f_measure 0.6967613636363637 [0.859375,0.181818] f_measure 0.6929438618545106 [0.868217,0.105263] f_measure 0.6929438618545106 [0.868217,0.105263] kappa 0.003984063745019896 kappa 0.1596638655462184 kappa -0.05042016806722702 kappa 0.003984063745019896 kappa 0.2718446601941748 kappa 0.08207343412526993 kappa 0.23312883435582848 kappa 0.10358565737051811 kappa 0.059790732436472524 kappa 0.059790732436472524 kb_relative_information_score 0.17478091459376952 kb_relative_information_score 0.3398247316750158 kb_relative_information_score 0.1747809145937695 kb_relative_information_score 0.1747809145937695 kb_relative_information_score 0.3810856859453275 kb_relative_information_score 0.29856377740470424 kb_relative_information_score 0.3810856859453275 kb_relative_information_score 0.2573028231343927 kb_relative_information_score 0.27337650306748723 kb_relative_information_score 0.27337650306748723 mean_absolute_error 0.26666666666666666 mean_absolute_error 0.21333333333333335 mean_absolute_error 0.26666666666666666 mean_absolute_error 0.26666666666666666 mean_absolute_error 0.2 mean_absolute_error 0.22666666666666666 mean_absolute_error 0.2 mean_absolute_error 0.24 mean_absolute_error 0.22972972972972974 mean_absolute_error 0.22972972972972974 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.36410666666666686 mean_prior_absolute_error 0.35873873873873896 mean_prior_absolute_error 0.35873873873873896 number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 75 [57,18] number_of_instances 74 [57,17] number_of_instances 74 [57,17] precision 0.6380281690140844 [0.760563,0.25] precision 0.8334246575342465 [0.780822,1] precision 0.5726027397260274 [0.753425,0] precision 0.6380281690140844 [0.760563,0.25] precision 0.8 [0.8,0.8] precision 0.8254054054054054 [0.77027,1] precision 0.8416666666666667 [0.791667,1] precision 0.7087323943661972 [0.774648,0.5] precision 0.713963963963964 [0.777778,0.5] precision 0.713963963963964 [0.777778,0.5] predictive_accuracy 0.7333333333333333 predictive_accuracy 0.7866666666666667 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.8 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.8 predictive_accuracy 0.76 predictive_accuracy 0.7702702702702703 predictive_accuracy 0.7702702702702703 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7950473279640615 prior_entropy 0.7778597106646706 prior_entropy 0.7778597106646706 recall 0.7333333333333333 [0.947368,0.055556] recall 0.7866666666666666 [1,0.111111] recall 0.7333333333333333 [0.964912,0] recall 0.7333333333333333 [0.947368,0.055556] recall 0.8 [0.982456,0.222222] recall 0.7733333333333333 [1,0.055556] recall 0.8 [1,0.166667] recall 0.76 [0.964912,0.111111] recall 0.7702702702702703 [0.982456,0.058824] recall 0.7702702702702703 [0.982456,0.058824] relative_absolute_error 0.732386113959279 relative_absolute_error 0.5859088911674233 relative_absolute_error 0.732386113959279 relative_absolute_error 0.732386113959279 relative_absolute_error 0.5492895854694592 relative_absolute_error 0.6225281968653871 relative_absolute_error 0.5492895854694592 relative_absolute_error 0.6591475025633511 relative_absolute_error 0.6403817177297837 relative_absolute_error 0.6403817177297837 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4270852113779844 root_mean_prior_squared_error 0.4207539065176338 root_mean_prior_squared_error 0.4207539065176338 root_mean_squared_error 0.5163977794943222 root_mean_squared_error 0.46188021535170065 root_mean_squared_error 0.5163977794943222 root_mean_squared_error 0.5163977794943222 root_mean_squared_error 0.4472135954999579 root_mean_squared_error 0.4760952285695233 root_mean_squared_error 0.4472135954999579 root_mean_squared_error 0.4898979485566356 root_mean_squared_error 0.4793012932694108 root_mean_squared_error 0.4793012932694108 root_relative_squared_error 1.2091211911275788 root_relative_squared_error 1.0814708705587128 root_relative_squared_error 1.2091211911275788 root_relative_squared_error 1.2091211911275788 root_relative_squared_error 1.0471296677705828 root_relative_squared_error 1.1147546575855642 root_relative_squared_error 1.0471296677705828 root_relative_squared_error 1.147073079341677 root_relative_squared_error 1.139148765691432 root_relative_squared_error 1.139148765691432 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 usercpu_time_millis 26.674936998460907 usercpu_time_millis 27.837412999360822 usercpu_time_millis 24.333113000466255 usercpu_time_millis 27.37627599708503 usercpu_time_millis 26.467601001058938 usercpu_time_millis 25.77037199807819 usercpu_time_millis 26.75931899648276 usercpu_time_millis 27.89690999998129 usercpu_time_millis 25.503065997327212 usercpu_time_millis 25.810491999436636 usercpu_time_millis_testing 2.1234359992376994 usercpu_time_millis_testing 2.1590750002360437 usercpu_time_millis_testing 2.1982149992254563 usercpu_time_millis_testing 2.1569519994955044 usercpu_time_millis_testing 2.098771001328714 usercpu_time_millis_testing 2.1572189980361145 usercpu_time_millis_testing 2.1741579985246062 usercpu_time_millis_testing 2.1220989983703475 usercpu_time_millis_testing 2.0746329973917454 usercpu_time_millis_testing 2.131887998984894 usercpu_time_millis_training 24.551500999223208 usercpu_time_millis_training 25.67833799912478 usercpu_time_millis_training 22.1348980012408 usercpu_time_millis_training 25.219323997589527 usercpu_time_millis_training 24.368829999730224 usercpu_time_millis_training 23.613153000042075 usercpu_time_millis_training 24.585160997958155 usercpu_time_millis_training 25.774811001610942 usercpu_time_millis_training 23.428432999935467 usercpu_time_millis_training 23.67860400045174 wall_clock_time_millis 26.74245834350586 wall_clock_time_millis 27.92954444885254 wall_clock_time_millis 24.433374404907227 wall_clock_time_millis 27.460098266601562 wall_clock_time_millis 26.499032974243164 wall_clock_time_millis 25.787830352783203 wall_clock_time_millis 26.777029037475586 wall_clock_time_millis 27.937650680541992 wall_clock_time_millis 25.54941177368164 wall_clock_time_millis 25.853633880615234 wall_clock_time_millis_testing 2.131938934326172 wall_clock_time_millis_testing 2.1848678588867188 wall_clock_time_millis_testing 2.2072792053222656 wall_clock_time_millis_testing 2.1843910217285156 wall_clock_time_millis_testing 2.1071434020996094 wall_clock_time_millis_testing 2.1653175354003906 wall_clock_time_millis_testing 2.1810531616210938 wall_clock_time_millis_testing 2.1305084228515625 wall_clock_time_millis_testing 2.0821094512939453 wall_clock_time_millis_testing 2.1393299102783203 wall_clock_time_millis_training 24.610519409179688 wall_clock_time_millis_training 25.74467658996582 wall_clock_time_millis_training 22.22609519958496 wall_clock_time_millis_training 25.275707244873047 wall_clock_time_millis_training 24.391889572143555 wall_clock_time_millis_training 23.622512817382812 wall_clock_time_millis_training 24.595975875854492 wall_clock_time_millis_training 25.80714225769043 wall_clock_time_millis_training 23.467302322387695 wall_clock_time_millis_training 23.714303970336914