Task
Supervised Classification on balance-scale

Supervised Classification on balance-scale

Task 19 Supervised Classification balance-scale 47 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

47 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7532, kappa: 0.5946, kb_relative_information_score: 0.5065, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7792, number_of_instances: 625, precision: 0.7293, predictive_accuracy: 0.7792, prior_entropy: 1.3181, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7732, unweighted_recall: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7532, kappa: 0.5946, kb_relative_information_score: 0.5065, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7792, number_of_instances: 625, precision: 0.7293, predictive_accuracy: 0.7792, prior_entropy: 1.3181, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7732, unweighted_recall: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7532, kappa: 0.5946, kb_relative_information_score: 0.5065, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7792, number_of_instances: 625, precision: 0.7293, predictive_accuracy: 0.7792, prior_entropy: 1.3181, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7732, unweighted_recall: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7532, kappa: 0.5946, kb_relative_information_score: 0.5065, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7792, number_of_instances: 625, precision: 0.7293, predictive_accuracy: 0.7792, prior_entropy: 1.3181, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7732, unweighted_recall: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7532, kappa: 0.5946, kb_relative_information_score: 0.5065, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7792, number_of_instances: 625, precision: 0.7293, predictive_accuracy: 0.7792, prior_entropy: 1.3181, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7732, unweighted_recall: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.874, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.852, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.869, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.851, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.846, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.829, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.804, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.788, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.976, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.956, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.965, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.943, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.963, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.942, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 1.113, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 1.092, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7532, kappa: 0.5946, kb_relative_information_score: 0.5065, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7792, number_of_instances: 625, precision: 0.7293, predictive_accuracy: 0.7792, prior_entropy: 1.3181, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7732, unweighted_recall: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.955, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.936, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.976, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.959, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 1.112, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 1.092, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.933, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.914, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 1.029, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 1.009, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.857, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.841, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 1.1, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 1.077, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 1.097, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 1.077, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.928, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.911, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.885, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.869, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.884, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.868, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.97, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.953, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.942, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.922, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.875, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.859, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.839, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.825, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 1.121, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 1.098, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.955, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.938, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 1.004, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.984, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.966, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.947, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.955, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.938, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7532, kappa: 0.5946, kb_relative_information_score: 0.5065, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7792, number_of_instances: 625, precision: 0.7293, predictive_accuracy: 0.7792, prior_entropy: 1.3181, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7732, unweighted_recall: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.87, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.85, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 1.208, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 1.189, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.939, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.921, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.94, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.92, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.942, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.923, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.961, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.944, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7532, kappa: 0.5946, kb_relative_information_score: 0.5065, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7792, number_of_instances: 625, precision: 0.7293, predictive_accuracy: 0.7792, prior_entropy: 1.3181, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7732, unweighted_recall: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.961, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.942, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.879, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.862, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.95, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.931, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6766, kappa: 0.3531, kb_relative_information_score: 0.3636, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.3798, weighted_recall: 0.6512, number_of_instances: 625, predictive_accuracy: 0.6512, prior_entropy: 1.3181, relative_absolute_error: 0.6123, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.4822, root_relative_squared_error: 1.1071, usercpu_time_millis: 0.92, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 0.9, unweighted_recall: 0.4711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8658, f_measure: 0.7532, kappa: 0.5946, kb_relative_information_score: 0.5065, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.3798, weighted_recall: 0.7792, number_of_instances: 625, precision: 0.7293, predictive_accuracy: 0.7792, prior_entropy: 1.3181, relative_absolute_error: 0.4855, root_mean_prior_squared_error: 0.4356, root_mean_squared_error: 0.3368, root_relative_squared_error: 0.7732, unweighted_recall: 0.5637,

    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