10558412 8323 Heinrich Peters 10101 Supervised Classification 18591 sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,logisticregression=sklearn.linear_model.logistic.LogisticRegression)(1) 8275911 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 100 17462 class_weight null 17462 dual false 17462 fit_intercept true 17462 intercept_scaling 1 17462 l1_ratio null 17462 max_iter 10000 17462 multi_class "warn" 17462 n_jobs null 17462 penalty "l2" 17462 random_state 1 17462 solver "lbfgs" 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. 1464 blood-transfusion-service-center https://www.openml.org/data/download/1586225/php0iVrYT -1 22041787 description https://api.openml.org/data/download/22041787/description.xml -1 22041788 predictions https://api.openml.org/data/download/22041788/predictions.arff area_under_roc_curve 0.7515966883500886 [0.751597,0.751597] average_cost 0 f_measure 0.7073906545881211 [0.866719,0.197183] kappa 0.12907179431310603 kb_relative_information_score 0.09816398549303555 mean_absolute_error 0.3089362585083656 mean_prior_absolute_error 0.3630445632798566 weighted_recall 0.7713903743315508 [0.975439,0.117978] number_of_instances 748 [570,178] precision 0.7370161477825862 [0.779804,0.6] predictive_accuracy 0.7713903743315508 prior_entropy 0.7916465694609683 relative_absolute_error 0.8509596059429733 root_mean_prior_squared_error 0.4258399633559147 root_mean_squared_error 0.39279916284586563 root_relative_squared_error 0.9224102870720151 total_cost 0 unweighted_recall 0.5467080622905579 [0.975439,0.117978] area_under_roc_curve 0.7782651072124757 [0.778265,0.778265] area_under_roc_curve 0.8396686159844056 [0.839669,0.839669] area_under_roc_curve 0.6783625730994152 [0.678363,0.678363] area_under_roc_curve 0.6895711500974658 [0.689571,0.689571] area_under_roc_curve 0.7787524366471735 [0.778752,0.778752] area_under_roc_curve 0.7373294346978557 [0.737329,0.737329] area_under_roc_curve 0.7850877192982456 [0.785088,0.785088] area_under_roc_curve 0.73635477582846 [0.736355,0.736355] area_under_roc_curve 0.7342621259029928 [0.734262,0.734262] area_under_roc_curve 0.7765737874097007 [0.776574,0.776574] 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 0.6880383430332078 [0.850394,0.173913] 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 0.7755555555555557 [0.888889,0.416667] f_measure 0.6787692307692308 [0.861538,0.1] f_measure 0.7401993355481727 [0.883721,0.285714] f_measure 0.720876412187607 [0.866142,0.26087] f_measure 0.7199324324324324 [0.875,0.2] f_measure 0.7199324324324324 [0.875,0.2] kappa 0.07766990291262131 kappa 0.1596638655462184 kappa -0.05042016806722702 kappa 0.003984063745019896 kappa 0.3371212121212121 kappa 0.0546218487394959 kappa 0.23312883435582848 kappa 0.17475728155339784 kappa 0.14078374455732942 kappa 0.14078374455732942 kb_relative_information_score 0.08597921449819156 kb_relative_information_score 0.17973832193545092 kb_relative_information_score -0.0054770383669469035 kb_relative_information_score 0.03479511772641989 kb_relative_information_score 0.17990801251269992 kb_relative_information_score 0.10203294082900534 kb_relative_information_score 0.15460403598463646 kb_relative_information_score 0.04584557010804065 kb_relative_information_score 0.08992105778216765 kb_relative_information_score 0.11457578310112274 mean_absolute_error 0.3137463822429863 mean_absolute_error 0.288849398324038 mean_absolute_error 0.3398405849319559 mean_absolute_error 0.32941269947281715 mean_absolute_error 0.28561821079680705 mean_absolute_error 0.3077947235619216 mean_absolute_error 0.29255662758533685 mean_absolute_error 0.3234952056642072 mean_absolute_error 0.30297193785572973 mean_absolute_error 0.3049440610733535 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 0.6822857142857144 [0.771429,0.4] precision 0.8334246575342465 [0.780822,1] precision 0.5726027397260274 [0.753425,0] precision 0.6380281690140844 [0.760563,0.25] precision 0.8168115942028985 [0.811594,0.833333] precision 0.703013698630137 [0.767123,0.5] precision 0.8416666666666667 [0.791667,1] precision 0.7411428571428571 [0.785714,0.6] precision 0.7606902677325212 [0.788732,0.666667] precision 0.7606902677325212 [0.788732,0.666667] predictive_accuracy 0.7466666666666667 predictive_accuracy 0.7866666666666667 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.7333333333333333 predictive_accuracy 0.8133333333333332 predictive_accuracy 0.76 predictive_accuracy 0.8 predictive_accuracy 0.7733333333333333 predictive_accuracy 0.7837837837837838 predictive_accuracy 0.7837837837837838 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 relative_absolute_error 0.8616881012239622 relative_absolute_error 0.7933098313425677 relative_absolute_error 0.933354470114863 relative_absolute_error 0.9047148257089965 relative_absolute_error 0.7844355430555338 relative_absolute_error 0.8453421805750736 relative_absolute_error 0.8034915434634631 relative_absolute_error 0.8884627371032492 relative_absolute_error 0.844547591712355 relative_absolute_error 0.8500449718518888 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 0.3942372307791237 root_mean_squared_error 0.3689037348523184 root_mean_squared_error 0.4166878453672733 root_mean_squared_error 0.4272050505128863 root_mean_squared_error 0.37530078301028846 root_mean_squared_error 0.39679672073940236 root_mean_squared_error 0.3755142281827956 root_mean_squared_error 0.3970007118595422 root_mean_squared_error 0.39015275037862124 root_mean_squared_error 0.3820859186828833 root_relative_squared_error 0.9230879933939246 root_relative_squared_error 0.8637708003563404 root_relative_squared_error 0.9756550549311597 root_relative_squared_error 1.0002805977161215 root_relative_squared_error 0.8787491887143218 root_relative_squared_error 0.9290809191429115 root_relative_squared_error 0.8792489605790945 root_relative_squared_error 0.9295585547872872 root_relative_squared_error 0.9272706547343011 root_relative_squared_error 0.908098327226987 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 0.5292397660818713 [0.947368,0.111111] unweighted_recall 0.5555555555555556 [1,0.111111] unweighted_recall 0.4824561403508772 [0.964912,0] unweighted_recall 0.5014619883040935 [0.947368,0.055556] unweighted_recall 0.6301169590643274 [0.982456,0.277778] unweighted_recall 0.5190058479532164 [0.982456,0.055556] unweighted_recall 0.5833333333333334 [1,0.166667] unweighted_recall 0.5657894736842105 [0.964912,0.166667] unweighted_recall 0.5500515995872033 [0.982456,0.117647] unweighted_recall 0.5500515995872033 [0.982456,0.117647] usercpu_time_millis 18.845999999030028 usercpu_time_millis 21.27400000608759 usercpu_time_millis 20.909999999275897 usercpu_time_millis 21.575999999186024 usercpu_time_millis 20.629999999073334 usercpu_time_millis 19.69200000166893 usercpu_time_millis 24.874000002455432 usercpu_time_millis 20.709999997052364 usercpu_time_millis 21.290000004228204 usercpu_time_millis 21.99799999652896 usercpu_time_millis_testing 1.5639999983250163 usercpu_time_millis_testing 1.2260000003152527 usercpu_time_millis_testing 4.216000001179054 usercpu_time_millis_testing 1.5700000003562309 usercpu_time_millis_testing 0.8200000011129305 usercpu_time_millis_testing 1.0860000038519502 usercpu_time_millis_testing 1.5940000012051314 usercpu_time_millis_testing 1.2499999938881956 usercpu_time_millis_testing 0.8159999997587875 usercpu_time_millis_testing 2.5180000011459924 usercpu_time_millis_training 17.28200000070501 usercpu_time_millis_training 20.048000005772337 usercpu_time_millis_training 16.693999998096842 usercpu_time_millis_training 20.005999998829793 usercpu_time_millis_training 19.809999997960404 usercpu_time_millis_training 18.60599999781698 usercpu_time_millis_training 23.2800000012503 usercpu_time_millis_training 19.46000000316417 usercpu_time_millis_training 20.474000004469417 usercpu_time_millis_training 19.47999999538297 wall_clock_time_millis 10.052919387817383 wall_clock_time_millis 7.122993469238281 wall_clock_time_millis 15.146017074584961 wall_clock_time_millis 7.567167282104492 wall_clock_time_millis 11.816263198852539 wall_clock_time_millis 5.203008651733398 wall_clock_time_millis 15.22374153137207 wall_clock_time_millis 5.487918853759766 wall_clock_time_millis 8.661031723022461 wall_clock_time_millis 8.083105087280273 wall_clock_time_millis_testing 0.4119873046875 wall_clock_time_millis_testing 0.6189346313476562 wall_clock_time_millis_testing 1.3058185577392578 wall_clock_time_millis_testing 0.4150867462158203 wall_clock_time_millis_testing 0.4382133483886719 wall_clock_time_millis_testing 0.2751350402832031 wall_clock_time_millis_testing 0.39887428283691406 wall_clock_time_millis_testing 0.36787986755371094 wall_clock_time_millis_testing 0.40984153747558594 wall_clock_time_millis_testing 1.6889572143554688 wall_clock_time_millis_training 9.640932083129883 wall_clock_time_millis_training 6.504058837890625 wall_clock_time_millis_training 13.840198516845703 wall_clock_time_millis_training 7.152080535888672 wall_clock_time_millis_training 11.378049850463867 wall_clock_time_millis_training 4.927873611450195 wall_clock_time_millis_training 14.824867248535156 wall_clock_time_millis_training 5.120038986206055 wall_clock_time_millis_training 8.251190185546875 wall_clock_time_millis_training 6.394147872924805 weighted_recall 0.7466666666666667 [0.947368,0.111111] weighted_recall 0.7866666666666666 [1,0.111111] weighted_recall 0.7333333333333333 [0.964912,0] weighted_recall 0.7333333333333333 [0.947368,0.055556] weighted_recall 0.8133333333333334 [0.982456,0.277778] weighted_recall 0.76 [0.982456,0.055556] weighted_recall 0.8 [1,0.166667] weighted_recall 0.7733333333333333 [0.964912,0.166667] weighted_recall 0.7837837837837838 [0.982456,0.117647] weighted_recall 0.7837837837837838 [0.982456,0.117647]