10370483 8323 Heinrich Peters 3918 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8225830 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 73.15153484301855 13389 cache_size 200 13389 class_weight null 13389 coef0 0.5428573815911459 13389 decision_function_shape "ovr" 13389 degree 4 13389 gamma 0.037758991593650544 13389 kernel "poly" 13389 max_iter -1 13389 probability false 13389 random_state 60442 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. 1068 pc1 https://www.openml.org/data/download/53951/pc1.arff -1 21662671 description https://api.openml.org/data/download/21662671/description.xml -1 21662672 predictions https://api.openml.org/data/download/21662672/predictions.arff area_under_roc_curve 0.5506896204570623 [0.55069,0.55069] average_cost 0 f_measure 0.9058795053200882 [0.960302,0.176471] kappa 0.14745396639455272 kb_relative_information_score 0.18026967686796588 mean_absolute_error 0.0757439134355275 mean_prior_absolute_error 0.12988972477049396 number_of_instances 1109 [1032,77] precision 0.8971884514156232 [0.937269,0.36] predictive_accuracy 0.9242560865644726 prior_entropy 0.36380676688852276 recall 0.9242560865644724 [0.984496,0.116883] relative_absolute_error 0.5831401488405775 root_mean_prior_squared_error 0.25418837468358885 root_mean_squared_error 0.27521612132200307 root_relative_squared_error 1.082725052491442 total_cost 0 area_under_roc_curve 0.5714285714285714 [0.571429,0.571429] area_under_roc_curve 0.5618131868131868 [0.561813,0.561813] area_under_roc_curve 0.4902912621359224 [0.490291,0.490291] area_under_roc_curve 0.5527912621359223 [0.552791,0.552791] area_under_roc_curve 0.4902912621359224 [0.490291,0.490291] area_under_roc_curve 0.5479368932038835 [0.547937,0.547937] area_under_roc_curve 0.6777912621359223 [0.677791,0.677791] area_under_roc_curve 0.49514563106796117 [0.495146,0.495146] area_under_roc_curve 0.6152912621359223 [0.615291,0.615291] area_under_roc_curve 0.5 [0.5,0.5] 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 0.9141934387217406 [0.962264,0.2] f_measure 0.8841577426483087 [0.95283,0] f_measure 0.901452076807527 [0.957346,0.181818] f_measure 0.8841577426483087 [0.95283,0] f_measure 0.8957528957528955 [0.952381,0.166667] f_measure 0.9301130353761933 [0.966507,0.461538] f_measure 0.8887197056211139 [0.957746,0] f_measure 0.9166023166023166 [0.961905,0.333333] kappa 0.23798627002288333 kappa 0.16853932584269593 kappa -0.02968460111317236 kappa 0.14833759590792903 kappa -0.02968460111317236 kappa 0.12460567823343913 kappa 0.42993396918561955 kappa -0.016276703967446498 kappa 0.29968454258675065 kappa 0 kb_relative_information_score 0.3741709080482253 kb_relative_information_score 0.16556121073096774 kb_relative_information_score 0.05068722628849006 kb_relative_information_score 0.14561850365964127 kb_relative_information_score 0.050687226288490234 kb_relative_information_score 0.05068722628849021 kb_relative_information_score 0.3354810584019428 kb_relative_information_score 0.14561850365964069 kb_relative_information_score 0.24054978103079194 kb_relative_information_score 0.2678290688329606 mean_absolute_error 0.05405405405405406 mean_absolute_error 0.07207207207207207 mean_absolute_error 0.09009009009009009 mean_absolute_error 0.08108108108108109 mean_absolute_error 0.09009009009009009 mean_absolute_error 0.09009009009009009 mean_absolute_error 0.06306306306306306 mean_absolute_error 0.08108108108108109 mean_absolute_error 0.07207207207207207 mean_absolute_error 0.06363636363636363 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 0.9059059059059058 [0.944444,0.333333] precision 0.8598231258781718 [0.926606,0] precision 0.8918084751418085 [0.935185,0.333333] precision 0.8598231258781718 [0.926606,0] precision 0.8852403805674834 [0.934579,0.25] precision 0.927400985891552 [0.95283,0.6] precision 0.8604422604422604 [0.927273,0] precision 0.9119306222109961 [0.943925,0.5] predictive_accuracy 0.9459459459459459 predictive_accuracy 0.927927927927928 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.9189189189189189 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.9099099099099099 predictive_accuracy 0.9369369369369369 predictive_accuracy 0.9189189189189189 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 recall 0.9459459459459459 [1,0.142857] recall 0.9279279279279279 [0.980769,0.142857] recall 0.9099099099099099 [0.980583,0] recall 0.918918918918919 [0.980583,0.125] recall 0.9099099099099099 [0.980583,0] recall 0.9099099099099099 [0.970874,0.125] recall 0.9369369369369369 [0.980583,0.375] recall 0.918918918918919 [0.990291,0] recall 0.9279279279279279 [0.980583,0.25] recall 0.9363636363636364 [1,0] relative_absolute_error 0.4344652284429384 relative_absolute_error 0.5792869712572513 relative_absolute_error 0.6816787335869435 relative_absolute_error 0.6135108602282492 relative_absolute_error 0.6816787335869435 relative_absolute_error 0.6816787335869435 relative_absolute_error 0.4771751135108604 relative_absolute_error 0.6135108602282492 relative_absolute_error 0.5453429868695547 relative_absolute_error 0.5094660989190961 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 0.23249527748763857 root_mean_squared_error 0.2684624220856097 root_mean_squared_error 0.3001501125938321 root_mean_squared_error 0.2847473987257497 root_mean_squared_error 0.3001501125938321 root_mean_squared_error 0.3001501125938321 root_mean_squared_error 0.2511236011669613 root_mean_squared_error 0.2847473987257497 root_mean_squared_error 0.2684624220856097 root_mean_squared_error 0.2522624895547565 root_relative_squared_error 0.9560573466910262 root_relative_squared_error 1.1039599329455667 root_relative_squared_error 1.1606107521878715 root_relative_squared_error 1.1010520361384777 root_relative_squared_error 1.1606107521878715 root_relative_squared_error 1.1606107521878715 root_relative_squared_error 0.9710366227212378 root_relative_squared_error 1.1010520361384777 root_relative_squared_error 1.0380818149236974 root_relative_squared_error 1.033047886204903 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 105.44313400077954 usercpu_time_millis 99.33152999929007 usercpu_time_millis 104.85110099943995 usercpu_time_millis 101.65133999998943 usercpu_time_millis 86.99181599968142 usercpu_time_millis 110.63675600053102 usercpu_time_millis 97.34616199966695 usercpu_time_millis 103.43449900028645 usercpu_time_millis 97.92809999999008 usercpu_time_millis 103.0930740007534 usercpu_time_millis_testing 1.6636549999020644 usercpu_time_millis_testing 1.6760859998612432 usercpu_time_millis_testing 1.596817999597988 usercpu_time_millis_testing 1.6756780005380278 usercpu_time_millis_testing 1.6478959996675258 usercpu_time_millis_testing 1.6189470006793272 usercpu_time_millis_testing 1.6515269999217708 usercpu_time_millis_testing 1.7761850003807922 usercpu_time_millis_testing 1.638314000047103 usercpu_time_millis_testing 1.6601920005996362 usercpu_time_millis_training 103.77947900087747 usercpu_time_millis_training 97.65544399942883 usercpu_time_millis_training 103.25428299984196 usercpu_time_millis_training 99.9756619994514 usercpu_time_millis_training 85.3439200000139 usercpu_time_millis_training 109.0178089998517 usercpu_time_millis_training 95.69463499974518 usercpu_time_millis_training 101.65831399990566 usercpu_time_millis_training 96.28978599994298 usercpu_time_millis_training 101.43288200015377 wall_clock_time_millis 105.45086860656738 wall_clock_time_millis 99.52497482299805 wall_clock_time_millis 104.8591136932373 wall_clock_time_millis 101.65977478027344 wall_clock_time_millis 87.03255653381348 wall_clock_time_millis 110.64529418945312 wall_clock_time_millis 97.35417366027832 wall_clock_time_millis 103.44266891479492 wall_clock_time_millis 97.93663024902344 wall_clock_time_millis 103.10220718383789 wall_clock_time_millis_testing 1.6665458679199219 wall_clock_time_millis_testing 1.6789436340332031 wall_clock_time_millis_testing 1.5997886657714844 wall_clock_time_millis_testing 1.6787052154541016 wall_clock_time_millis_testing 1.6505718231201172 wall_clock_time_millis_testing 1.6217231750488281 wall_clock_time_millis_testing 1.6541481018066406 wall_clock_time_millis_testing 1.7788410186767578 wall_clock_time_millis_testing 1.6410350799560547 wall_clock_time_millis_testing 1.6632080078125 wall_clock_time_millis_training 103.78432273864746 wall_clock_time_millis_training 97.84603118896484 wall_clock_time_millis_training 103.25932502746582 wall_clock_time_millis_training 99.98106956481934 wall_clock_time_millis_training 85.38198471069336 wall_clock_time_millis_training 109.0235710144043 wall_clock_time_millis_training 95.70002555847168 wall_clock_time_millis_training 101.66382789611816 wall_clock_time_millis_training 96.29559516906738 wall_clock_time_millis_training 101.43899917602539