10330578 8323 Heinrich Peters 9910 Supervised Classification 16345 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(1) 8186159 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 12.341555491261257 13389 cache_size 200 13389 class_weight null 13389 coef0 0.46669411992573373 13389 decision_function_shape "ovr" 13389 degree 5 13389 gamma 0.01790402609150106 13389 kernel "rbf" 13389 max_iter -1 13389 probability false 13389 random_state 31550 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. 4134 Bioresponse https://www.openml.org/data/download/1681097/phpSSK7iA -1 21582855 description https://api.openml.org/data/download/21582855/description.xml -1 21582856 predictions https://api.openml.org/data/download/21582856/predictions.arff area_under_roc_curve 0.6239025386140905 [0.623903,0.623903] average_cost 0 f_measure 0.6085086238695182 [0.447535,0.744395] kappa 0.26034129317060184 kb_relative_information_score 0.2937331142913302 mean_absolute_error 0.3495067981871501 mean_prior_absolute_error 0.4964308656158626 number_of_instances 3751 [1717,2034] precision 0.7049857565071974 [0.809451,0.616801] predictive_accuracy 0.65049320181285 prior_entropy 0.9948419333531207 recall 0.6504932018128499 [0.30926,0.938545] relative_absolute_error 0.7040392175324527 root_mean_prior_squared_error 0.4982112822885347 root_mean_squared_error 0.5911909997514764 root_relative_squared_error 1.1866270812572512 total_cost 0 area_under_roc_curve 0.6447218422252622 [0.644722,0.644722] area_under_roc_curve 0.6410671325466835 [0.641067,0.641067] area_under_roc_curve 0.5943120632374842 [0.594312,0.594312] area_under_roc_curve 0.6683612097605682 [0.668361,0.668361] area_under_roc_curve 0.6370288692862872 [0.637029,0.637029] area_under_roc_curve 0.6010138618398442 [0.601014,0.601014] area_under_roc_curve 0.6104221560316188 [0.610422,0.610422] area_under_roc_curve 0.6016941864465084 [0.601694,0.601694] area_under_roc_curve 0.6240540075679395 [0.624054,0.624054] area_under_roc_curve 0.6162280701754386 [0.616228,0.616228] 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 0.6283360532145602 [0.467532,0.763916] f_measure 0.6276914846869566 [0.476987,0.755382] f_measure 0.5726922414364275 [0.393162,0.724806] f_measure 0.6588289896659574 [0.522822,0.774067] f_measure 0.6261048831413754 [0.481633,0.748515] f_measure 0.583843137254902 [0.416667,0.72549] f_measure 0.5907474988405221 [0.418803,0.736434] f_measure 0.5782903465513747 [0.389381,0.736641] f_measure 0.6121249215368185 [0.456432,0.742633] f_measure 0.604008069239279 [0.446281,0.73622] kappa 0.3051682692307692 kappa 0.29592802319119205 kappa 0.19830778958778708 kappa 0.3528564354206997 kappa 0.28665578239444006 kappa 0.21180638962286824 kappa 0.23218210833759892 kappa 0.21519563239308467 kappa 0.2605554301196657 kappa 0.24399711139194818 kb_relative_information_score 0.33890748002785676 kb_relative_information_score 0.3265681741081696 kb_relative_information_score 0.23498144578688238 kb_relative_information_score 0.3804427201795147 kb_relative_information_score 0.31579326489390036 kb_relative_information_score 0.2457563550011516 kb_relative_information_score 0.2673061734296896 kb_relative_information_score 0.25604420168973835 kb_relative_information_score 0.29378109000982344 kb_relative_information_score 0.27760813787264405 mean_absolute_error 0.3271276595744681 mean_absolute_error 0.3333333333333333 mean_absolute_error 0.37866666666666665 mean_absolute_error 0.30666666666666664 mean_absolute_error 0.33866666666666667 mean_absolute_error 0.37333333333333335 mean_absolute_error 0.3626666666666667 mean_absolute_error 0.368 mean_absolute_error 0.34933333333333333 mean_absolute_error 0.35733333333333334 mean_prior_absolute_error 0.4964057123095849 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4965087485567102 mean_prior_absolute_error 0.4962835065281108 mean_prior_absolute_error 0.4962835065281108 mean_prior_absolute_error 0.4962835065281108 number_of_instances 376 [172,204] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [172,203] number_of_instances 375 [171,204] number_of_instances 375 [171,204] number_of_instances 375 [171,204] precision 0.7592734582345989 [0.915254,0.62776] precision 0.7294210764360018 [0.850746,0.626623] precision 0.6637174756948023 [0.741935,0.597444] precision 0.7672880553187459 [0.913043,0.643791] precision 0.7094846533006743 [0.808219,0.625828] precision 0.6634655425688191 [0.735294,0.602606] precision 0.6910995224844549 [0.790323,0.607029] precision 0.6929000000000001 [0.8,0.603125] precision 0.6953873536299766 [0.785714,0.619672] precision 0.6814484803558192 [0.760563,0.615132] predictive_accuracy 0.6728723404255319 predictive_accuracy 0.6666666666666667 predictive_accuracy 0.6213333333333333 predictive_accuracy 0.6933333333333332 predictive_accuracy 0.6613333333333334 predictive_accuracy 0.6266666666666666 predictive_accuracy 0.6373333333333333 predictive_accuracy 0.632 predictive_accuracy 0.6506666666666666 predictive_accuracy 0.6426666666666666 prior_entropy 0.9947691829105159 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.9950671927429882 prior_entropy 0.994415729388281 prior_entropy 0.994415729388281 prior_entropy 0.994415729388281 recall 0.6728723404255319 [0.313953,0.97549] recall 0.6666666666666666 [0.331395,0.950739] recall 0.6213333333333333 [0.267442,0.921182] recall 0.6933333333333334 [0.366279,0.970443] recall 0.6613333333333333 [0.343023,0.931034] recall 0.6266666666666667 [0.290698,0.91133] recall 0.6373333333333333 [0.284884,0.935961] recall 0.632 [0.25731,0.946078] recall 0.6506666666666666 [0.321637,0.926471] recall 0.6426666666666667 [0.315789,0.916667] relative_absolute_error 0.6589925366742234 relative_absolute_error 0.6713544007075248 relative_absolute_error 0.7626585992037483 relative_absolute_error 0.6176460486509229 relative_absolute_error 0.6820960711188454 relative_absolute_error 0.7519169287924279 relative_absolute_error 0.7304335879697871 relative_absolute_error 0.7415116463862484 relative_absolute_error 0.703898736786946 relative_absolute_error 0.7200185551866473 root_mean_prior_squared_error 0.4981860380352768 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4982894387205206 root_mean_prior_squared_error 0.4980633721845164 root_mean_prior_squared_error 0.4980633721845164 root_mean_prior_squared_error 0.4980633721845164 root_mean_squared_error 0.5719507492559723 root_mean_squared_error 0.5773502691896257 root_mean_squared_error 0.615358973824764 root_mean_squared_error 0.5537749241945383 root_mean_squared_error 0.5819507424745385 root_mean_squared_error 0.6110100926607787 root_mean_squared_error 0.6022181221672648 root_mean_squared_error 0.6066300355241241 root_mean_squared_error 0.5910442735813733 root_mean_squared_error 0.5977736472389306 root_relative_squared_error 1.148066596791041 root_relative_squared_error 1.1586644715411047 root_relative_squared_error 1.2349428384531849 root_relative_squared_error 1.1113519195118606 root_relative_squared_error 1.1678970037350955 root_relative_squared_error 1.2262152178655357 root_relative_squared_error 1.2085709135509801 root_relative_squared_error 1.2179776096833461 root_relative_squared_error 1.186684881060498 root_relative_squared_error 1.2001959602391215 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 45082.568398996955 usercpu_time_millis 45431.044882017886 usercpu_time_millis 45450.54546999745 usercpu_time_millis 44716.48962600739 usercpu_time_millis 45038.73010299867 usercpu_time_millis 44789.27239100449 usercpu_time_millis 45159.35496101156 usercpu_time_millis 44735.932092997245 usercpu_time_millis 45492.42560498533 usercpu_time_millis 45350.73674697196 usercpu_time_millis_testing 4412.98952899524 usercpu_time_millis_testing 4311.105693021091 usercpu_time_millis_testing 4301.935847994173 usercpu_time_millis_testing 4340.926620003302 usercpu_time_millis_testing 4287.670921010431 usercpu_time_millis_testing 4232.690419012215 usercpu_time_millis_testing 4268.37053601048 usercpu_time_millis_testing 4262.583641975652 usercpu_time_millis_testing 4290.50237199408 usercpu_time_millis_testing 4212.275684985798 usercpu_time_millis_training 40669.578870001715 usercpu_time_millis_training 41119.939188996796 usercpu_time_millis_training 41148.60962200328 usercpu_time_millis_training 40375.563006004086 usercpu_time_millis_training 40751.05918198824 usercpu_time_millis_training 40556.58197199227 usercpu_time_millis_training 40890.98442500108 usercpu_time_millis_training 40473.34845102159 usercpu_time_millis_training 41201.92323299125 usercpu_time_millis_training 41138.46106198616 wall_clock_time_millis 49150.062084198 wall_clock_time_millis 49716.169118881226 wall_clock_time_millis 50059.3683719635 wall_clock_time_millis 48667.53268241882 wall_clock_time_millis 48880.70487976074 wall_clock_time_millis 48285.53771972656 wall_clock_time_millis 50845.659017562866 wall_clock_time_millis 48387.84456253052 wall_clock_time_millis 48634.90271568298 wall_clock_time_millis 49016.69716835022 wall_clock_time_millis_testing 4685.718774795532 wall_clock_time_millis_testing 4659.577369689941 wall_clock_time_millis_testing 4926.445245742798 wall_clock_time_millis_testing 4721.363544464111 wall_clock_time_millis_testing 4512.111186981201 wall_clock_time_millis_testing 4849.039793014526 wall_clock_time_millis_testing 4325.007915496826 wall_clock_time_millis_testing 4731.197118759155 wall_clock_time_millis_testing 4772.634744644165 wall_clock_time_millis_testing 4340.936183929443 wall_clock_time_millis_training 44464.343309402466 wall_clock_time_millis_training 45056.591749191284 wall_clock_time_millis_training 45132.9231262207 wall_clock_time_millis_training 43946.16913795471 wall_clock_time_millis_training 44368.59369277954 wall_clock_time_millis_training 43436.497926712036 wall_clock_time_millis_training 46520.65110206604 wall_clock_time_millis_training 43656.64744377136 wall_clock_time_millis_training 43862.26797103882 wall_clock_time_millis_training 44675.76098442078