OpenML
Supervised Classification on wine

Supervised Classification on wine

Task 2382 Supervised Classification wine 544 runs submitted
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  • study_1 study_107 study_123 study_41 study_50 study_7 study_73 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263, usercpu_time_millis: 0.926, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265, usercpu_time_millis: 0.245, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: trace file contains no fields with prefix 'parameter_' (i.e., parameters are not registered).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263, usercpu_time_millis: 1.246, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.785, kappa: 0.6745, kb_relative_information_score: 124.4245, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7845, predictive_accuracy: 0.7865, prior_entropy: 1.5674, recall: 0.7865, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.8053, usercpu_time_millis: 0.019, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265, usercpu_time_millis: 0.101, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9494, kappa: 0.9232, kb_relative_information_score: 165.6304, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 1.5674, recall: 0.9494, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263, usercpu_time_millis: 0.79, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.785, kappa: 0.6745, kb_relative_information_score: 124.4245, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7845, predictive_accuracy: 0.7865, prior_entropy: 1.5674, recall: 0.7865, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.8053, usercpu_time_millis: 0.021, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265, usercpu_time_millis: 0.111, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263, usercpu_time_millis: 0.909, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.785, kappa: 0.6745, kb_relative_information_score: 124.4245, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7845, predictive_accuracy: 0.7865, prior_entropy: 1.5674, recall: 0.7865, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.8053, usercpu_time_millis: 0.022, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265, usercpu_time_millis: 0.167, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9546, kappa: 0.9321, kb_relative_information_score: 167.4104, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9586, predictive_accuracy: 0.9551, prior_entropy: 1.5674, recall: 0.9551, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9717, kappa: 0.9575, kb_relative_information_score: 171.3562, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9732, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.2921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9662, kappa: 0.9489, kb_relative_information_score: 169.8259, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9665, predictive_accuracy: 0.9663, prior_entropy: 1.5674, recall: 0.9663, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9887, kappa: 0.983, kb_relative_information_score: 175.302, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.1848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9717, kappa: 0.9575, kb_relative_information_score: 171.3562, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9732, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.2921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 172.4935, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.2613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9661, kappa: 0.9489, kb_relative_information_score: 169.6849, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 1.5674, recall: 0.9663, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9746, f_measure: 0.9661, kappa: 0.9489, kb_relative_information_score: 169.6849, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9663, predictive_accuracy: 0.9663, prior_entropy: 1.5674, recall: 0.9663, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8887, f_measure: 0.8452, kappa: 0.7727, kb_relative_information_score: 141.5649, mean_absolute_error: 0.1011, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8559, predictive_accuracy: 0.8483, prior_entropy: 1.5674, recall: 0.8483, relative_absolute_error: 0.2304, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.318, root_relative_squared_error: 0.6788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2275, kb_relative_information_score: 24.4253, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.1591, predictive_accuracy: 0.3989, prior_entropy: 1.5674, recall: 0.3989, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.633, root_relative_squared_error: 1.3514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.966, kappa: 0.949, kb_relative_information_score: 170.0409, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9682, predictive_accuracy: 0.9663, prior_entropy: 1.5674, recall: 0.9663, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9494, kappa: 0.9232, kb_relative_information_score: 165.6304, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 1.5674, recall: 0.9494, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263, usercpu_time_millis: 0.91, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.785, kappa: 0.6745, kb_relative_information_score: 124.4245, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7845, predictive_accuracy: 0.7865, prior_entropy: 1.5674, recall: 0.7865, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.8053, usercpu_time_millis: 0.02, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265, usercpu_time_millis: 0.099, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265, usercpu_time_millis: 0.143, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263, usercpu_time_millis: 0.929, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265, usercpu_time_millis: 0.093, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263, usercpu_time_millis: 0.895, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8369, f_measure: 0.785, kappa: 0.6745, kb_relative_information_score: 124.4245, mean_absolute_error: 0.1423, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7845, predictive_accuracy: 0.7865, prior_entropy: 1.5674, recall: 0.7865, relative_absolute_error: 0.3242, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.8053, usercpu_time_millis: 0.019, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265, usercpu_time_millis: 0.089, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.9606, kappa: 0.9403, kb_relative_information_score: 168.298, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9609, predictive_accuracy: 0.9607, prior_entropy: 1.5674, recall: 0.9607, relative_absolute_error: 0.0597, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.3457, usercpu_time_millis: 397.578, usercpu_time_millis_testing: 7.046, usercpu_time_millis_training: 390.532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.9218, kappa: 0.8807, kb_relative_information_score: 158.876, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9238, predictive_accuracy: 0.9213, prior_entropy: 1.5674, recall: 0.9213, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4888, usercpu_time_millis: 7.264, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 6.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9832, kappa: 0.9744, kb_relative_information_score: 173.737, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9833, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263, usercpu_time_millis: 0.253, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7904, f_measure: 0.7256, kappa: 0.5807, kb_relative_information_score: 109.1011, mean_absolute_error: 0.1835, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7274, predictive_accuracy: 0.7247, prior_entropy: 1.5674, recall: 0.7247, relative_absolute_error: 0.4181, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4284, root_relative_squared_error: 0.9145, usercpu_time_millis: 0.504, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8201, f_measure: 0.7606, kappa: 0.6306, kb_relative_information_score: 117.3512, mean_absolute_error: 0.1648, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7838, predictive_accuracy: 0.7528, prior_entropy: 1.5674, recall: 0.7528, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4059, root_relative_squared_error: 0.8666, usercpu_time_millis: 8.149, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 8.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.165, kb_relative_information_score: 12.8713, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.1099, predictive_accuracy: 0.3315, prior_entropy: 1.5674, recall: 0.3315, relative_absolute_error: 1.0153, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6676, root_relative_squared_error: 1.4252, usercpu_time_millis: 5.478, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 5.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263, usercpu_time_millis: 6.804, usercpu_time_millis_testing: 1.37, usercpu_time_millis_training: 5.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9944, kappa: 0.9915, kb_relative_information_score: 176.6173, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.5674, recall: 0.9944, relative_absolute_error: 0.0085, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.1306, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2275, kb_relative_information_score: 24.4253, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.1591, predictive_accuracy: 0.3989, prior_entropy: 1.5674, recall: 0.3989, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.633, root_relative_squared_error: 1.3514, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9887, kappa: 0.983, kb_relative_information_score: 175.302, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.1848, usercpu_time_millis: 0.824, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9015, f_measure: 0.8707, kappa: 0.8043, kb_relative_information_score: 146.3612, mean_absolute_error: 0.0861, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8713, predictive_accuracy: 0.8708, prior_entropy: 1.5674, recall: 0.8708, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2935, root_relative_squared_error: 0.6265, usercpu_time_millis: 0.191, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263, usercpu_time_millis: 1.761, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 1.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9383, kappa: 0.906, kb_relative_information_score: 162.5375, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9386, predictive_accuracy: 0.9382, prior_entropy: 1.5674, recall: 0.9382, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4333, usercpu_time_millis: 2.185, usercpu_time_millis_testing: 0.898, usercpu_time_millis_training: 1.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.7653, kappa: 0.6514, kb_relative_information_score: 121.8334, mean_absolute_error: 0.1536, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7809, predictive_accuracy: 0.7697, prior_entropy: 1.5674, recall: 0.7697, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.3919, root_relative_squared_error: 0.8365, usercpu_time_millis: 1.617, usercpu_time_millis_testing: 0.642, usercpu_time_millis_training: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5015, f_measure: 0.2971, kappa: 0.0033, kb_relative_information_score: 22.6549, mean_absolute_error: 0.4082, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.2726, predictive_accuracy: 0.3876, prior_entropy: 1.5674, recall: 0.3876, relative_absolute_error: 0.93, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.6389, root_relative_squared_error: 1.364, usercpu_time_millis: 0.123, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9944, kappa: 0.9915, kb_relative_information_score: 176.6173, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 1.5674, recall: 0.9944, relative_absolute_error: 0.0085, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.1306, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 172.5281, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.978, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.2613, usercpu_time_millis: 0.444, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 0.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2275, kb_relative_information_score: 24.4253, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.1591, predictive_accuracy: 0.3989, prior_entropy: 1.5674, recall: 0.3989, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.633, root_relative_squared_error: 1.3514, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.501, f_measure: 0.2727, kappa: 0.002, kb_relative_information_score: 23.5401, mean_absolute_error: 0.4045, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.27, predictive_accuracy: 0.3933, prior_entropy: 1.5674, recall: 0.3933, relative_absolute_error: 0.9215, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.636, root_relative_squared_error: 1.3577, usercpu_time_millis: 6.931, usercpu_time_millis_testing: 0.647, usercpu_time_millis_training: 6.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.955, kappa: 0.932, kb_relative_information_score: 167.1607, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9566, predictive_accuracy: 0.9551, prior_entropy: 1.5674, recall: 0.9551, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3695, usercpu_time_millis: 0.28, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9436, kappa: 0.9148, kb_relative_information_score: 164.3868, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9438, predictive_accuracy: 0.9438, prior_entropy: 1.5674, recall: 0.9438, relative_absolute_error: 0.0853, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4131, usercpu_time_millis: 0.309, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9832, kappa: 0.9744, kb_relative_information_score: 173.737, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9833, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263, usercpu_time_millis: 0.464, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9831, kappa: 0.9745, kb_relative_information_score: 173.9867, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9837, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0256, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.106, root_relative_squared_error: 0.2263, usercpu_time_millis: 0.998, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 177.9325, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 1, predictive_accuracy: 1, prior_entropy: 1.5674, recall: 1, root_mean_prior_squared_error: 0.4684, usercpu_time_millis: 0.176, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9521, f_measure: 0.9381, kappa: 0.9061, kb_relative_information_score: 162.7872, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.5674, recall: 0.9382, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4333, usercpu_time_millis: 0.054, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9834, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 172.4935, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9777, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0341, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1224, root_relative_squared_error: 0.2613, usercpu_time_millis: 1.418, usercpu_time_millis_testing: 0.452, usercpu_time_millis_training: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.966, kappa: 0.949, kb_relative_information_score: 170.0409, mean_absolute_error: 0.0225, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9682, predictive_accuracy: 0.9663, prior_entropy: 1.5674, recall: 0.9663, relative_absolute_error: 0.0512, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.32, usercpu_time_millis: 0.105, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.9217, kappa: 0.8802, kb_relative_information_score: 158.52, mean_absolute_error: 0.0524, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9227, predictive_accuracy: 0.9213, prior_entropy: 1.5674, recall: 0.9213, relative_absolute_error: 0.1194, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4888, usercpu_time_millis: 2.053, usercpu_time_millis_testing: 0.702, usercpu_time_millis_training: 1.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.952, f_measure: 0.9382, kappa: 0.906, kb_relative_information_score: 162.6092, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.5674, recall: 0.9382, relative_absolute_error: 0.0939, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4333, usercpu_time_millis: 2.481, usercpu_time_millis_testing: 1.025, usercpu_time_millis_training: 1.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.9546, kappa: 0.9321, kb_relative_information_score: 167.4104, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9586, predictive_accuracy: 0.9551, prior_entropy: 1.5674, recall: 0.9551, relative_absolute_error: 0.0683, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1731, root_relative_squared_error: 0.3695, usercpu_time_millis: 1.93, usercpu_time_millis_testing: 0.75, usercpu_time_millis_training: 1.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9494, kappa: 0.9232, kb_relative_information_score: 165.6304, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9494, predictive_accuracy: 0.9494, prior_entropy: 1.5674, recall: 0.9494, relative_absolute_error: 0.0768, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.3919, usercpu_time_millis: 0.616, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9887, kappa: 0.983, kb_relative_information_score: 175.302, mean_absolute_error: 0.0075, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.0171, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.1848, usercpu_time_millis: 0.748, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9719, kappa: 0.9575, kb_relative_information_score: 171.2845, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9727, predictive_accuracy: 0.9719, prior_entropy: 1.5674, recall: 0.9719, relative_absolute_error: 0.0427, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.2921, usercpu_time_millis: 9.177, usercpu_time_millis_testing: 0.557, usercpu_time_millis_training: 8.62,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9271, f_measure: 0.904, kappa: 0.8552, kb_relative_information_score: 154.5396, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9041, predictive_accuracy: 0.9045, prior_entropy: 1.5674, recall: 0.9045, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2523, root_relative_squared_error: 0.5387, usercpu_time_millis: 0.673, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 0.506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2275, kb_relative_information_score: 24.4253, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.1591, predictive_accuracy: 0.3989, prior_entropy: 1.5674, recall: 0.3989, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.633, root_relative_squared_error: 1.3514, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7747, f_measure: 0.7037, kappa: 0.5477, kb_relative_information_score: 103.662, mean_absolute_error: 0.1985, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.7053, predictive_accuracy: 0.7022, prior_entropy: 1.5674, recall: 0.7022, relative_absolute_error: 0.4522, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9511, usercpu_time_millis: 0.569, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.2275, kb_relative_information_score: 24.4253, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.1591, predictive_accuracy: 0.3989, prior_entropy: 1.5674, recall: 0.3989, relative_absolute_error: 0.9129, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.633, root_relative_squared_error: 1.3514, usercpu_time_millis: 1.043, usercpu_time_millis_testing: 0.299, usercpu_time_millis_training: 0.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5046, f_measure: 0.2831, kappa: -0.0044, kb_relative_information_score: 6.3895, mean_absolute_error: 0.4354, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.2689, predictive_accuracy: 0.3483, prior_entropy: 1.5674, recall: 0.3483, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0238, scimark_benchmark: 1232.304, usercpu_time_millis: 90, usercpu_time_millis_training: 90,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9831, kappa: 0.9744, kb_relative_information_score: 170.9839, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9832, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.0483, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2135, scimark_benchmark: 477.5225, usercpu_time_millis: 920, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 910,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9832, kappa: 0.9744, kb_relative_information_score: 109.7272, mean_absolute_error: 0.226, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9835, predictive_accuracy: 0.9831, prior_entropy: 1.5674, recall: 0.9831, relative_absolute_error: 0.5148, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.279, root_relative_squared_error: 0.5955, scimark_benchmark: 1246.4663, usercpu_time_millis: 30, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 20,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9546, kappa: 0.9321, kb_relative_information_score: 165.5262, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9586, predictive_accuracy: 0.9551, prior_entropy: 1.5674, recall: 0.9551, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3666, scimark_benchmark: 1231.0069, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9213, kappa: 0.8805, kb_relative_information_score: 150.4935, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9214, predictive_accuracy: 0.9213, prior_entropy: 1.5674, recall: 0.9213, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2078, root_relative_squared_error: 0.4435, scimark_benchmark: 1235.4964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9776, kappa: 0.966, kb_relative_information_score: 172.149, mean_absolute_error: 0.0171, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9784, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.039, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.2246, scimark_benchmark: 1230.8749, usercpu_time_millis: 30, usercpu_time_millis_testing: 30,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9546, kappa: 0.9321, kb_relative_information_score: 165.5262, mean_absolute_error: 0.0376, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9586, predictive_accuracy: 0.9551, prior_entropy: 1.5674, recall: 0.9551, relative_absolute_error: 0.0856, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3666, scimark_benchmark: 478.0529, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9961, f_measure: 0.9663, kappa: 0.9488, kb_relative_information_score: 169.5987, mean_absolute_error: 0.0229, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9664, predictive_accuracy: 0.9663, prior_entropy: 1.5674, recall: 0.9663, relative_absolute_error: 0.0521, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.3162, scimark_benchmark: 1254.1389, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9382, kappa: 0.906, kb_relative_information_score: 160.9221, mean_absolute_error: 0.048, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.9383, predictive_accuracy: 0.9382, prior_entropy: 1.5674, recall: 0.9382, relative_absolute_error: 0.1093, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4292, scimark_benchmark: 473.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 172.3248, mean_absolute_error: 0.0162, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.978, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1042, root_relative_squared_error: 0.2224, scimark_benchmark: 473.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7363, f_measure: 0.501, kappa: 0.3729, kb_relative_information_score: 73.8224, mean_absolute_error: 0.3056, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.5566, predictive_accuracy: 0.573, prior_entropy: 1.5674, recall: 0.573, relative_absolute_error: 0.6961, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.4013, root_relative_squared_error: 0.8566, scimark_benchmark: 473.1656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 172.32, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.978, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2226, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.8544, kappa: 0.7784, kb_relative_information_score: 137.8309, mean_absolute_error: 0.1128, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.8552, predictive_accuracy: 0.8539, prior_entropy: 1.5674, recall: 0.8539, relative_absolute_error: 0.2569, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.2762, root_relative_squared_error: 0.5896, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9775, kappa: 0.9659, kb_relative_information_score: 172.32, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.978, predictive_accuracy: 0.9775, prior_entropy: 1.5674, recall: 0.9775, relative_absolute_error: 0.0367, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.1043, root_relative_squared_error: 0.2226, scimark_benchmark: 1230.3004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9887, kappa: 0.983, kb_relative_information_score: 174.0645, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.439, number_of_instances: 178, precision: 0.989, predictive_accuracy: 0.9888, prior_entropy: 1.5674, recall: 0.9888, relative_absolute_error: 0.0271, root_mean_prior_squared_error: 0.4684, root_mean_squared_error: 0.0843, root_relative_squared_error: 0.1799, scimark_benchmark: 1230.3004, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,

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