OpenML
Supervised Classification on diabetes

Supervised Classification on diabetes

Task 37 Supervised Classification diabetes 131687 runs submitted
0 likes downloaded by 8 people , 10 total downloads 0 issues
Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_29 study_30 study_41 study_7 study_70 study_73 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

131687 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1376.5703, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1395.4563, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1402.474, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1430.4155, usercpu_time_millis: 50, usercpu_time_millis_testing: 20, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1371.3238, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1357.3689, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1364.537, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1345.4239, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1918.94, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1372.873, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1799.3326, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1379.2057, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1386.9377, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1420.9294, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1388.719, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1385.9579, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1343.5167, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1364.6441, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1381.5368, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1389.9463, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1360.8611, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1377.948, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1382.96, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1365.2929, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1373.2076, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1338.973, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1492.9797, usercpu_time_millis: 40, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1358.8644, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1374.1794, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1390.9974, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1382.2946, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1388.4814, usercpu_time_millis: 30, usercpu_time_millis_training: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1368.3364, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1352.845, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1407.6327, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1379.2173, usercpu_time_millis: 20, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1382.1322, usercpu_time_millis: 40, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1401.2422, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1378.6555, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1371.3213, usercpu_time_millis: 20, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1471.0028, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01, scimark_benchmark: 1592.1601, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.7634, kappa: 0.4686, kb_relative_information_score: 367.0325, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7672, predictive_accuracy: 0.7721, prior_entropy: 0.9335, recall: 0.7721, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0015, scimark_benchmark: 1731.6863, usercpu_time_millis: 240, usercpu_time_millis_testing: 40, usercpu_time_millis_training: 200,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.7439, kappa: 0.4263, kb_relative_information_score: 205.4804, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7444, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9121, scimark_benchmark: 928.0494, usercpu_time_millis: 90, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 80,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7954, f_measure: 0.7096, kappa: 0.3461, kb_relative_information_score: 208.7524, mean_absolute_error: 0.3323, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7152, predictive_accuracy: 0.7253, prior_entropy: 0.9335, recall: 0.7253, relative_absolute_error: 0.7311, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.874, scimark_benchmark: 1655.8441, usercpu_time_millis: 140, usercpu_time_millis_testing: 100, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 278.7802, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8833, scimark_benchmark: 901.458, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8334, f_measure: 0.7691, kappa: 0.4817, kb_relative_information_score: 243.3551, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7728, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.7011, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3952, root_relative_squared_error: 0.829, scimark_benchmark: 1393.1544, usercpu_time_millis: 50, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 40,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.7746, kappa: 0.4991, kb_relative_information_score: 256.5318, mean_absolute_error: 0.3068, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7736, predictive_accuracy: 0.7773, prior_entropy: 0.9335, recall: 0.7773, relative_absolute_error: 0.6751, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.831, scimark_benchmark: 942.79, usercpu_time_millis: 1820, usercpu_time_millis_testing: 300, usercpu_time_millis_training: 1520,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7788, f_measure: 0.7444, kappa: 0.4254, kb_relative_information_score: 92.4857, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7488, predictive_accuracy: 0.7552, prior_entropy: 0.9335, recall: 0.7552, relative_absolute_error: 0.8898, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4333, root_relative_squared_error: 0.909, scimark_benchmark: 1369.783, usercpu_time_millis: 4120, usercpu_time_millis_testing: 170, usercpu_time_millis_training: 3950,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7577, kappa: 0.455, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7636, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7838, f_measure: 0.7355, kappa: 0.4057, kb_relative_information_score: 243.7706, mean_absolute_error: 0.3149, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7385, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6929, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7462, f_measure: 0.7459, kappa: 0.4341, kb_relative_information_score: 249.1433, mean_absolute_error: 0.3108, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7446, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.6837, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8136, f_measure: 0.7556, kappa: 0.4562, kb_relative_information_score: 278.7802, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7544, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.421, root_relative_squared_error: 0.8833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.7006, kappa: 0.3363, kb_relative_information_score: 245.6844, mean_absolute_error: 0.2969, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6988, predictive_accuracy: 0.7031, prior_entropy: 0.9335, recall: 0.7031, relative_absolute_error: 0.6532, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5449, root_relative_squared_error: 1.1431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8214, f_measure: 0.757, kappa: 0.4554, kb_relative_information_score: 267.1471, mean_absolute_error: 0.3001, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7584, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6603, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8065, f_measure: 0.7399, kappa: 0.4185, kb_relative_information_score: 240.4753, mean_absolute_error: 0.3142, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7393, predictive_accuracy: 0.7461, prior_entropy: 0.9335, recall: 0.7461, relative_absolute_error: 0.6914, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6517, f_measure: 0.6993, kappa: 0.324, kb_relative_information_score: 261.7115, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7006, predictive_accuracy: 0.7122, prior_entropy: 0.9335, recall: 0.7122, relative_absolute_error: 0.6331, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5364, root_relative_squared_error: 1.1254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7383, kappa: 0.4175, kb_relative_information_score: 271.7697, mean_absolute_error: 0.291, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7368, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6402, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.441, root_relative_squared_error: 0.9253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.7448, kappa: 0.4383, kb_relative_information_score: 248.9873, mean_absolute_error: 0.3091, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7448, predictive_accuracy: 0.7448, prior_entropy: 0.9335, recall: 0.7448, relative_absolute_error: 0.6801, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.792, f_measure: 0.7441, kappa: 0.428, kb_relative_information_score: 267.933, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7435, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.6441, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4359, root_relative_squared_error: 0.9146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5134, kb_relative_information_score: -0.1051, mean_absolute_error: 0.4545, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4766, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8172, f_measure: 0.7653, kappa: 0.4782, kb_relative_information_score: 262.1315, mean_absolute_error: 0.3009, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7642, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6621, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7692, kappa: 0.4829, kb_relative_information_score: 255.118, mean_absolute_error: 0.3101, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.771, predictive_accuracy: 0.776, prior_entropy: 0.9335, recall: 0.776, relative_absolute_error: 0.6824, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.8315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8381, f_measure: 0.7618, kappa: 0.4668, kb_relative_information_score: 266.4582, mean_absolute_error: 0.3014, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7626, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6631, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3925, root_relative_squared_error: 0.8234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.7512, kappa: 0.4444, kb_relative_information_score: 225.3757, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7506, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4103, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5678, f_measure: 0.604, kappa: 0.1139, kb_relative_information_score: 155.2772, mean_absolute_error: 0.3483, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.6155, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7664, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5892, root_relative_squared_error: 1.2361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5134, kb_relative_information_score: 154.1008, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.4239, predictive_accuracy: 0.651, prior_entropy: 0.9335, recall: 0.651, relative_absolute_error: 0.7678, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7641, f_measure: 0.743, kappa: 0.4272, kb_relative_information_score: 218.1762, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7417, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.7296, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7035, f_measure: 0.7271, kappa: 0.3881, kb_relative_information_score: 188.7001, mean_absolute_error: 0.3513, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7273, predictive_accuracy: 0.7357, prior_entropy: 0.9335, recall: 0.7357, relative_absolute_error: 0.773, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8161, f_measure: 0.7655, kappa: 0.4791, kb_relative_information_score: 280.2673, mean_absolute_error: 0.2878, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7644, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.6333, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4167, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7642, kappa: 0.4744, kb_relative_information_score: 360.1638, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7634, predictive_accuracy: 0.7682, prior_entropy: 0.9335, recall: 0.7682, relative_absolute_error: 0.51, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4814, root_relative_squared_error: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.722, kappa: 0.379, kb_relative_information_score: 210.2315, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7204, predictive_accuracy: 0.7279, prior_entropy: 0.9335, recall: 0.7279, relative_absolute_error: 0.7314, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5588, f_measure: 0.6095, kappa: 0.1415, kb_relative_information_score: 197.603, mean_absolute_error: 0.3242, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.663, predictive_accuracy: 0.6758, prior_entropy: 0.9335, recall: 0.6758, relative_absolute_error: 0.7134, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.5694, root_relative_squared_error: 1.1946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7646, f_measure: 0.7462, kappa: 0.4351, kb_relative_information_score: 317.5314, mean_absolute_error: 0.2589, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7449, predictive_accuracy: 0.75, prior_entropy: 0.9335, recall: 0.75, relative_absolute_error: 0.5696, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.7662, kappa: 0.4797, kb_relative_information_score: 258.0272, mean_absolute_error: 0.3069, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7652, predictive_accuracy: 0.7695, prior_entropy: 0.9335, recall: 0.7695, relative_absolute_error: 0.6754, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.394, root_relative_squared_error: 0.8265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8284, f_measure: 0.7703, kappa: 0.489, kb_relative_information_score: 244.2182, mean_absolute_error: 0.3156, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7693, predictive_accuracy: 0.7734, prior_entropy: 0.9335, recall: 0.7734, relative_absolute_error: 0.6944, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3984, root_relative_squared_error: 0.8359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7619, f_measure: 0.7451, kappa: 0.4327, kb_relative_information_score: 241.3862, mean_absolute_error: 0.3158, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7437, predictive_accuracy: 0.7487, prior_entropy: 0.9335, recall: 0.7487, relative_absolute_error: 0.6947, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7726, f_measure: 0.7421, kappa: 0.4241, kb_relative_information_score: 240.9153, mean_absolute_error: 0.3164, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7411, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.6962, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4268, root_relative_squared_error: 0.8954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7759, f_measure: 0.7483, kappa: 0.439, kb_relative_information_score: 245.2408, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7471, predictive_accuracy: 0.7526, prior_entropy: 0.9335, recall: 0.7526, relative_absolute_error: 0.6908, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.7562, kappa: 0.4581, kb_relative_information_score: 256.285, mean_absolute_error: 0.3076, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7549, predictive_accuracy: 0.7591, prior_entropy: 0.9335, recall: 0.7591, relative_absolute_error: 0.6768, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4162, root_relative_squared_error: 0.8732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.7392, kappa: 0.4189, kb_relative_information_score: 243.7528, mean_absolute_error: 0.3137, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7378, predictive_accuracy: 0.7435, prior_entropy: 0.9335, recall: 0.7435, relative_absolute_error: 0.6902, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.42, root_relative_squared_error: 0.8811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.7345, kappa: 0.4092, kb_relative_information_score: 242.2341, mean_absolute_error: 0.3135, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7329, predictive_accuracy: 0.7383, prior_entropy: 0.9335, recall: 0.7383, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7364, kappa: 0.4112, kb_relative_information_score: 238.0686, mean_absolute_error: 0.3177, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7354, predictive_accuracy: 0.7422, prior_entropy: 0.9335, recall: 0.7422, relative_absolute_error: 0.6989, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4122, root_relative_squared_error: 0.8649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.7421, kappa: 0.4197, kb_relative_information_score: 207.5044, mean_absolute_error: 0.342, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7476, predictive_accuracy: 0.7539, prior_entropy: 0.9335, recall: 0.7539, relative_absolute_error: 0.7524, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.7512, kappa: 0.4444, kb_relative_information_score: 199.9805, mean_absolute_error: 0.3465, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7506, predictive_accuracy: 0.7565, prior_entropy: 0.9335, recall: 0.7565, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7285, f_measure: 0.7236, kappa: 0.379, kb_relative_information_score: 180.1217, mean_absolute_error: 0.3562, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7605, predictive_accuracy: 0.7513, prior_entropy: 0.9335, recall: 0.7513, relative_absolute_error: 0.7836, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4254, root_relative_squared_error: 0.8924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7159, f_measure: 0.717, kappa: 0.3683, kb_relative_information_score: 151.6576, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7152, predictive_accuracy: 0.7227, prior_entropy: 0.9335, recall: 0.7227, relative_absolute_error: 0.8185, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.7211, kappa: 0.3926, kb_relative_information_score: 139.3305, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7247, predictive_accuracy: 0.7188, prior_entropy: 0.9335, recall: 0.7188, relative_absolute_error: 0.8332, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.9217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7021, f_measure: 0.7242, kappa: 0.406, kb_relative_information_score: 142.5289, mean_absolute_error: 0.3766, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7327, predictive_accuracy: 0.7201, prior_entropy: 0.9335, recall: 0.7201, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.83, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 257.3874, mean_absolute_error: 0.3063, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6739, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3976, root_relative_squared_error: 0.8343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8255, f_measure: 0.7638, kappa: 0.4748, kb_relative_information_score: 258.2003, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7627, predictive_accuracy: 0.7669, prior_entropy: 0.9335, recall: 0.7669, relative_absolute_error: 0.6701, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4008, root_relative_squared_error: 0.841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7609, kappa: 0.468, kb_relative_information_score: 261.2535, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7609, kappa: 0.468, kb_relative_information_score: 261.2535, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7609, kappa: 0.468, kb_relative_information_score: 261.2535, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7609, kappa: 0.468, kb_relative_information_score: 261.2535, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7609, kappa: 0.468, kb_relative_information_score: 261.2535, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.739, kappa: 0.4147, kb_relative_information_score: 263.6212, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.74, predictive_accuracy: 0.7474, prior_entropy: 0.9335, recall: 0.7474, relative_absolute_error: 0.6522, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4223, root_relative_squared_error: 0.8859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.7671, kappa: 0.4813, kb_relative_information_score: 254.3618, mean_absolute_error: 0.3079, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7663, predictive_accuracy: 0.7708, prior_entropy: 0.9335, recall: 0.7708, relative_absolute_error: 0.6774, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.8384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7609, kappa: 0.468, kb_relative_information_score: 261.2535, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8273, f_measure: 0.7609, kappa: 0.468, kb_relative_information_score: 261.2535, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4545, number_of_instances: 768, precision: 0.7598, predictive_accuracy: 0.7643, prior_entropy: 0.9335, recall: 0.7643, relative_absolute_error: 0.6653, root_mean_prior_squared_error: 0.4766, root_mean_squared_error: 0.4001, root_relative_squared_error: 0.8394,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs