10558936 8323 Heinrich Peters 146800 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275573 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 1.0 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 100 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. 40966 MiceProtein https://www.openml.org/data/download/17928620/phpchCuL5 -1 22042836 description https://api.openml.org/data/download/22042836/description.xml -1 22042837 predictions https://api.openml.org/data/download/22042837/predictions.arff area_under_roc_curve 0.999766519378228 [0.999591,0.999506,0.999835,0.999906,0.999357,1,1,1] average_cost 0 f_measure 0.9888876969637346 [0.976589,0.977778,0.993289,0.98893,0.98155,0.995261,1,1] kappa 0.9872857037745567 kb_relative_information_score 0.9301809920798351 mean_absolute_error 0.031001855223253636 mean_prior_absolute_error 0.21846277573529482 weighted_recall 0.9888888888888889 [0.973333,0.977778,0.986667,0.992593,0.985185,1,1,1] number_of_instances 1080 [150,135,150,135,135,105,135,135] precision 0.9889130226295914 [0.979866,0.977778,1,0.985294,0.977941,0.990566,1,1] predictive_accuracy 0.9888888888888888 prior_entropy 2.9930272047960242 relative_absolute_error 0.14190909695671775 root_mean_prior_squared_error 0.33050012389723266 root_mean_squared_error 0.0749407371086459 root_relative_squared_error 0.226749497776129 total_cost 0 unweighted_recall 0.9894444444444445 [0.973333,0.977778,0.986667,0.992593,0.985185,1,1,1] area_under_roc_curve 0.9997013142174432 [0.997849,1,1,1,1,1,1,1] area_under_roc_curve 0.9997044917257683 [1,1,1,1,0.99772,1,1,1] area_under_roc_curve 0.9990169569682869 [0.999283,0.998381,0.997849,0.996761,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1] area_under_roc_curve 0.9999025341130604 [1,0.99919,1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1] area_under_roc_curve 0.9999004380724811 [0.999283,1,1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1] area_under_roc_curve 1 [1,1,1,1,1,1,1,1] 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 0.990704898446834 [0.967742,0.96,1,1,1,1,1,1] f_measure 0.9907407407407407 [1,0.962963,1,1,0.962963,1,1,1] f_measure 0.9539888300999413 [0.933333,0.96,0.928571,0.888889,0.933333,1,1,1] f_measure 1 [1,1,1,1,1,1,1,1] f_measure 0.9907525661037795 [0.965517,0.962963,1,1,1,1,1,1] f_measure 0.990704898446834 [0.967742,1,1,1,0.96,1,1,1] f_measure 0.9907407407407407 [0.965517,0.965517,1,1,1,1,1,1] f_measure 0.9907897315304722 [1,0.962963,1,1,1,0.952381,1,1] f_measure 1 [1,1,1,1,1,1,1,1] f_measure 0.9907525661037795 [0.965517,1,1,1,0.962963,1,1,1] kappa 0.9894034536891679 kappa 0.9894065718489455 kappa 0.947038054138878 kappa 1 kappa 0.9894076108277755 kappa 0.9893972118594149 kappa 0.9894003336931985 kappa 0.9894034536891679 kappa 1 kappa 0.9894013738959764 kb_relative_information_score 0.9166448542599975 kb_relative_information_score 0.9291707228613959 kb_relative_information_score 0.9110374266073923 kb_relative_information_score 0.9339370078670547 kb_relative_information_score 0.9359068998563638 kb_relative_information_score 0.9271577215318039 kb_relative_information_score 0.9303961957934337 kb_relative_information_score 0.9401991719185436 kb_relative_information_score 0.9360741180335694 kb_relative_information_score 0.9413127432765752 mean_absolute_error 0.03663968303989125 mean_absolute_error 0.030494142379205006 mean_absolute_error 0.035641689138579964 mean_absolute_error 0.030481074680776588 mean_absolute_error 0.028445111451973683 mean_absolute_error 0.03296013585892362 mean_absolute_error 0.031149718836246093 mean_absolute_error 0.027784098345317757 mean_absolute_error 0.02939893356252255 mean_absolute_error 0.027023964939100715 mean_prior_absolute_error 0.21849468954248363 mean_prior_absolute_error 0.21849468954248363 mean_prior_absolute_error 0.21849468954248363 mean_prior_absolute_error 0.21849468954248363 mean_prior_absolute_error 0.21849468954248363 mean_prior_absolute_error 0.21843086192810454 mean_prior_absolute_error 0.21843086192810454 mean_prior_absolute_error 0.21843086192810454 mean_prior_absolute_error 0.21843086192810454 mean_prior_absolute_error 0.21843086192810454 number_of_instances 108 [15,13,15,13,14,11,13,14] number_of_instances 108 [15,13,15,13,14,11,13,14] number_of_instances 108 [15,13,15,13,14,11,13,14] number_of_instances 108 [15,13,15,13,14,11,13,14] number_of_instances 108 [15,13,15,13,14,11,13,14] number_of_instances 108 [15,14,15,14,13,10,14,13] number_of_instances 108 [15,14,15,14,13,10,14,13] number_of_instances 108 [15,14,15,14,13,10,14,13] number_of_instances 108 [15,14,15,14,13,10,14,13] number_of_instances 108 [15,14,15,14,13,10,14,13] precision 0.9913194444444444 [0.9375,1,1,1,1,1,1,1] precision 0.9914021164021164 [1,0.928571,1,1,1,1,1,1] precision 0.9573412698412698 [0.933333,1,1,0.857143,0.875,1,1,1] precision 1 [1,1,1,1,1,1,1,1] precision 0.9914021164021164 [1,0.928571,1,1,1,1,1,1] precision 0.9913194444444444 [0.9375,1,1,1,1,1,1,1] precision 0.991358024691358 [1,0.933333,1,1,1,1,1,1] precision 0.9915824915824916 [1,1,1,1,1,0.909091,1,1] precision 1 [1,1,1,1,1,1,1,1] precision 0.9914021164021164 [1,1,1,1,0.928571,1,1,1] predictive_accuracy 0.9907407407407408 predictive_accuracy 0.9907407407407408 predictive_accuracy 0.9537037037037037 predictive_accuracy 1 predictive_accuracy 0.9907407407407408 predictive_accuracy 0.9907407407407408 predictive_accuracy 0.9907407407407408 predictive_accuracy 0.9907407407407408 predictive_accuracy 1 predictive_accuracy 0.9907407407407408 prior_entropy 2.9946917528825625 prior_entropy 2.9946917528825625 prior_entropy 2.9946917528825625 prior_entropy 2.9946917528825625 prior_entropy 2.9946917528825625 prior_entropy 2.991362656709533 prior_entropy 2.991362656709533 prior_entropy 2.991362656709533 prior_entropy 2.991362656709533 prior_entropy 2.991362656709533 relative_absolute_error 0.16769141216481195 relative_absolute_error 0.1395646843548378 relative_absolute_error 0.16312382334422765 relative_absolute_error 0.13950487650112847 relative_absolute_error 0.1301867405177501 relative_absolute_error 0.1508950501224149 relative_absolute_error 0.14260676610111475 relative_absolute_error 0.12719859318443177 relative_absolute_error 0.1345914826458867 relative_absolute_error 0.12371862062237121 root_mean_prior_squared_error 0.3305484014532142 root_mean_prior_squared_error 0.3305484014532142 root_mean_prior_squared_error 0.3305484014532142 root_mean_prior_squared_error 0.3305484014532142 root_mean_prior_squared_error 0.3305484014532142 root_mean_prior_squared_error 0.33045183928811195 root_mean_prior_squared_error 0.33045183928811195 root_mean_prior_squared_error 0.33045183928811195 root_mean_prior_squared_error 0.33045183928811195 root_mean_prior_squared_error 0.33045183928811195 root_mean_squared_error 0.0869412086474257 root_mean_squared_error 0.07534220769480843 root_mean_squared_error 0.09586937362840287 root_mean_squared_error 0.06856007580021824 root_mean_squared_error 0.07162285646538966 root_mean_squared_error 0.07563676966480254 root_mean_squared_error 0.07463044417476711 root_mean_squared_error 0.06434109990448653 root_mean_squared_error 0.06642592691452111 root_mean_squared_error 0.06373271823915319 root_relative_squared_error 0.2630211135954665 root_relative_squared_error 0.2279309395040967 root_relative_squared_error 0.29003127289959746 root_relative_squared_error 0.20741312164512835 root_relative_squared_error 0.2166788771342074 root_relative_squared_error 0.22888893530671772 root_relative_squared_error 0.22584363378198316 root_relative_squared_error 0.1947064360213449 root_relative_squared_error 0.201015455255512 root_relative_squared_error 0.19286537601500947 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 0.9903846153846154 [1,0.923077,1,1,1,1,1,1] unweighted_recall 0.9910714285714286 [1,1,1,1,0.928571,1,1,1] unweighted_recall 0.9557692307692308 [0.933333,0.923077,0.866667,0.923077,1,1,1,1] unweighted_recall 1 [1,1,1,1,1,1,1,1] unweighted_recall 0.9916666666666667 [0.933333,1,1,1,1,1,1,1] unweighted_recall 0.9903846153846154 [1,1,1,1,0.923077,1,1,1] unweighted_recall 0.9916666666666667 [0.933333,1,1,1,1,1,1,1] unweighted_recall 0.9910714285714286 [1,0.928571,1,1,1,1,1,1] unweighted_recall 1 [1,1,1,1,1,1,1,1] unweighted_recall 0.9916666666666667 [0.933333,1,1,1,1,1,1,1] usercpu_time_millis 234.6479999978328 usercpu_time_millis 473.4779999998864 usercpu_time_millis 469.7599999999511 usercpu_time_millis 475.7500000014261 usercpu_time_millis 471.33799999573966 usercpu_time_millis 480.02599999745144 usercpu_time_millis 471.53400000024703 usercpu_time_millis 474.5859999966342 usercpu_time_millis 471.34400000140886 usercpu_time_millis 475.4579999971611 usercpu_time_millis_testing 3.1759999983478338 usercpu_time_millis_testing 2.1100000012665987 usercpu_time_millis_testing 1.9979999997303821 usercpu_time_millis_testing 1.012000000628177 usercpu_time_millis_testing 2.3599999985890463 usercpu_time_millis_testing 2.113999998982763 usercpu_time_millis_testing 1.958000000740867 usercpu_time_millis_testing 1.9839999986288603 usercpu_time_millis_testing 2.3720000026514754 usercpu_time_millis_testing 2.003999998123618 usercpu_time_millis_training 231.47199999948498 usercpu_time_millis_training 471.3679999986198 usercpu_time_millis_training 467.7620000002207 usercpu_time_millis_training 474.7380000007979 usercpu_time_millis_training 468.9779999971506 usercpu_time_millis_training 477.9119999984687 usercpu_time_millis_training 469.57599999950617 usercpu_time_millis_training 472.60199999800534 usercpu_time_millis_training 468.9719999987574 usercpu_time_millis_training 473.4539999990375 wall_clock_time_millis 145.60317993164062 wall_clock_time_millis 119.94767189025879 wall_clock_time_millis 118.32475662231445 wall_clock_time_millis 130.0208568572998 wall_clock_time_millis 119.22907829284668 wall_clock_time_millis 121.2608814239502 wall_clock_time_millis 119.4150447845459 wall_clock_time_millis 120.37229537963867 wall_clock_time_millis 119.5826530456543 wall_clock_time_millis 120.2089786529541 wall_clock_time_millis_testing 29.574155807495117 wall_clock_time_millis_testing 0.5998611450195312 wall_clock_time_millis_testing 0.5218982696533203 wall_clock_time_millis_testing 0.5118846893310547 wall_clock_time_millis_testing 0.6260871887207031 wall_clock_time_millis_testing 0.5347728729248047 wall_clock_time_millis_testing 0.5049705505371094 wall_clock_time_millis_testing 0.5130767822265625 wall_clock_time_millis_testing 0.6127357482910156 wall_clock_time_millis_testing 0.5178451538085938 wall_clock_time_millis_training 116.02902412414551 wall_clock_time_millis_training 119.34781074523926 wall_clock_time_millis_training 117.80285835266113 wall_clock_time_millis_training 129.50897216796875 wall_clock_time_millis_training 118.60299110412598 wall_clock_time_millis_training 120.72610855102539 wall_clock_time_millis_training 118.91007423400879 wall_clock_time_millis_training 119.85921859741211 wall_clock_time_millis_training 118.96991729736328 wall_clock_time_millis_training 119.69113349914551 weighted_recall 0.9907407407407407 [1,0.923077,1,1,1,1,1,1] weighted_recall 0.9907407407407407 [1,1,1,1,0.928571,1,1,1] weighted_recall 0.9537037037037037 [0.933333,0.923077,0.866667,0.923077,1,1,1,1] weighted_recall 1 [1,1,1,1,1,1,1,1] weighted_recall 0.9907407407407407 [0.933333,1,1,1,1,1,1,1] weighted_recall 0.9907407407407407 [1,1,1,1,0.923077,1,1,1] weighted_recall 0.9907407407407407 [0.933333,1,1,1,1,1,1,1] weighted_recall 0.9907407407407407 [1,0.928571,1,1,1,1,1,1] weighted_recall 1 [1,1,1,1,1,1,1,1] weighted_recall 0.9907407407407407 [0.933333,1,1,1,1,1,1,1]