OpenML
Supervised Classification on grub-damage

Supervised Classification on grub-damage

Task 3888 Supervised Classification grub-damage 645 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • study_1 study_107 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

645 Runs

Fetching data
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.6822, kappa: 0.2509, kb_relative_information_score: 28.8883, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6778, predictive_accuracy: 0.6903, prior_entropy: 0.9027, recall: 0.6903, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9542, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_training: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.768, f_measure: 0.7534, kappa: 0.4455, kb_relative_information_score: 55.4377, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7634, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4693, root_relative_squared_error: 1.0094, scimark_benchmark: 1806.5905, usercpu_time_millis: 15.6001, usercpu_time_millis_testing: 15.6001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.6806, kappa: 0.27, kb_relative_information_score: 31.0361, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6847, predictive_accuracy: 0.6774, prior_entropy: 0.9027, recall: 0.6774, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5599, root_relative_squared_error: 1.2042, scimark_benchmark: 1806.5905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8182, f_measure: 0.769, kappa: 0.4687, kb_relative_information_score: 59.862, mean_absolute_error: 0.2613, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7704, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.6032, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8761, scimark_benchmark: 1877.5305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8181, f_measure: 0.7779, kappa: 0.4971, kb_relative_information_score: 61.9051, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7847, predictive_accuracy: 0.7742, prior_entropy: 0.9027, recall: 0.7742, relative_absolute_error: 0.5842, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8998, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4793, f_measure: 0.5555, kb_relative_information_score: -0.219, mean_absolute_error: 0.4334, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.4677, predictive_accuracy: 0.6839, prior_entropy: 0.9027, recall: 0.6839, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4651, root_relative_squared_error: 1.0002, scimark_benchmark: 1850.8887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6066, f_measure: 0.6626, kappa: 0.2155, kb_relative_information_score: 27.6035, mean_absolute_error: 0.3355, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6609, predictive_accuracy: 0.6645, prior_entropy: 0.9027, recall: 0.6645, relative_absolute_error: 0.7744, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5792, root_relative_squared_error: 1.2457, usercpu_time_millis: 313.925, usercpu_time_millis_testing: 6.322, usercpu_time_millis_training: 307.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6545, f_measure: 0.7142, kappa: 0.3251, kb_relative_information_score: 49.5765, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.711, predictive_accuracy: 0.7226, prior_entropy: 0.9027, recall: 0.7226, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.1328, usercpu_time_millis: 20.774, usercpu_time_millis_testing: 2.774, usercpu_time_millis_training: 18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6223, f_measure: 0.6719, kappa: 0.2432, kb_relative_information_score: 30.045, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6728, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5736, root_relative_squared_error: 1.2337, usercpu_time_millis: 20.455, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 20.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5949, f_measure: 0.6759, kappa: 0.2243, kb_relative_information_score: 47.1351, mean_absolute_error: 0.2839, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6958, predictive_accuracy: 0.7161, prior_entropy: 0.9027, recall: 0.7161, relative_absolute_error: 0.6552, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.1459, usercpu_time_millis: 12.019, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 11.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.8073, kappa: 0.5448, kb_relative_information_score: 83.7567, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.808, predictive_accuracy: 0.8129, prior_entropy: 0.9027, recall: 0.8129, relative_absolute_error: 0.4319, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9303, usercpu_time_millis: 3.29, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 2.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.7332, kappa: 0.378, kb_relative_information_score: 54.4594, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7314, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.1061, usercpu_time_millis: 0.676, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6318, f_measure: 0.706, kappa: 0.2961, kb_relative_information_score: 52.0179, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7118, predictive_accuracy: 0.729, prior_entropy: 0.9027, recall: 0.729, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.1195, usercpu_time_millis: 2.026, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 1.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5555, kb_relative_information_score: 34.9278, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.4677, predictive_accuracy: 0.6839, prior_entropy: 0.9027, recall: 0.6839, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5623, root_relative_squared_error: 1.2092, usercpu_time_millis: 0.266, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.7371, kappa: 0.3828, kb_relative_information_score: 56.9008, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7346, predictive_accuracy: 0.7419, prior_entropy: 0.9027, recall: 0.7419, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0925, usercpu_time_millis: 0.205, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.7616, kappa: 0.4382, kb_relative_information_score: 66.6666, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7601, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0365, usercpu_time_millis: 1.311, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 1.115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.7314, kappa: 0.371, kb_relative_information_score: 54.4594, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.729, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.1061, usercpu_time_millis: 4.759, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 4.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7701, kappa: 0.4744, kb_relative_information_score: 66.6666, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7734, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0365, usercpu_time_millis: 0.216, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.7314, kappa: 0.371, kb_relative_information_score: 54.4594, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.729, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.1061, usercpu_time_millis: 0.28, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6851, f_measure: 0.7371, kappa: 0.3828, kb_relative_information_score: 56.9008, mean_absolute_error: 0.2581, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7346, predictive_accuracy: 0.7419, prior_entropy: 0.9027, recall: 0.7419, relative_absolute_error: 0.5957, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.508, root_relative_squared_error: 1.0925, usercpu_time_millis: 2.163, usercpu_time_millis_testing: 0.89, usercpu_time_millis_training: 1.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.7332, kappa: 0.378, kb_relative_information_score: 54.4594, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7314, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.1061, usercpu_time_millis: 0.206, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 0.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6514, f_measure: 0.7254, kappa: 0.3423, kb_relative_information_score: 59.3423, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7368, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.5808, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0788, usercpu_time_millis: 0.291, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.7258, kappa: 0.3593, kb_relative_information_score: 52.0179, mean_absolute_error: 0.271, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7235, predictive_accuracy: 0.729, prior_entropy: 0.9027, recall: 0.729, relative_absolute_error: 0.6254, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.1195, usercpu_time_millis: 0.265, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6875, f_measure: 0.7532, kappa: 0.4111, kb_relative_information_score: 66.6666, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7585, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0365, usercpu_time_millis: 25.142, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 24.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.7507, kappa: 0.404, kb_relative_information_score: 66.6666, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7593, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0365, usercpu_time_millis: 2.653, usercpu_time_millis_testing: 1.1, usercpu_time_millis_training: 1.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6836, f_measure: 0.7443, kappa: 0.393, kb_relative_information_score: 61.7837, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.744, predictive_accuracy: 0.7548, prior_entropy: 0.9027, recall: 0.7548, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0649, usercpu_time_millis: 1.085, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.7484, kappa: 0.407, kb_relative_information_score: 61.7837, mean_absolute_error: 0.2452, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7464, predictive_accuracy: 0.7548, prior_entropy: 0.9027, recall: 0.7548, relative_absolute_error: 0.5659, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4951, root_relative_squared_error: 1.0649, usercpu_time_millis: 0.913, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 0.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6379, f_measure: 0.6806, kappa: 0.27, kb_relative_information_score: 32.4864, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6847, predictive_accuracy: 0.6774, prior_entropy: 0.9027, recall: 0.6774, relative_absolute_error: 0.7446, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.568, root_relative_squared_error: 1.2215, usercpu_time_millis: 2.197, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 1.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.682, f_measure: 0.7507, kappa: 0.404, kb_relative_information_score: 66.6666, mean_absolute_error: 0.2323, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7593, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.5361, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4819, root_relative_squared_error: 1.0365, usercpu_time_millis: 28.616, usercpu_time_millis_testing: 1.648, usercpu_time_millis_training: 26.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5555, kb_relative_information_score: 34.9278, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.4677, predictive_accuracy: 0.6839, prior_entropy: 0.9027, recall: 0.6839, relative_absolute_error: 0.7297, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5623, root_relative_squared_error: 1.2092, usercpu_time_millis: 0.381, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.653, f_measure: 0.7203, kappa: 0.3334, kb_relative_information_score: 54.4594, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7209, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.1061, usercpu_time_millis: 0.537, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.7427, kappa: 0.3948, kb_relative_information_score: 59.3423, mean_absolute_error: 0.2516, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7404, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.5808, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5016, root_relative_squared_error: 1.0788, usercpu_time_millis: 15.778, usercpu_time_millis_testing: 3.818, usercpu_time_millis_training: 11.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5996, f_measure: 0.681, kappa: 0.237, kb_relative_information_score: 49.5765, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.707, predictive_accuracy: 0.7226, prior_entropy: 0.9027, recall: 0.7226, relative_absolute_error: 0.6403, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.1328, usercpu_time_millis: 2.695, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 2.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.7314, kappa: 0.371, kb_relative_information_score: 54.4594, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.729, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6105, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.1061, usercpu_time_millis: 0.595, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6058, f_measure: 0.6659, kappa: 0.2176, kb_relative_information_score: 30.045, mean_absolute_error: 0.329, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6622, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7595, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.5736, root_relative_squared_error: 1.2337, usercpu_time_millis: 2.295, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 1.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7203, kappa: 0.3334, kb_relative_information_score: 33.6867, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7209, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7427, kappa: 0.3948, kb_relative_information_score: 36.8192, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7404, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7532, kappa: 0.4111, kb_relative_information_score: 42.8188, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7585, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7314, kappa: 0.371, kb_relative_information_score: 47.5185, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.729, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6659, kappa: 0.2176, kb_relative_information_score: 28.614, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6622, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7203, kappa: 0.3334, kb_relative_information_score: 33.6867, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7209, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6626, kappa: 0.2155, kb_relative_information_score: 0.3173, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6609, predictive_accuracy: 0.6645, prior_entropy: 0.9027, recall: 0.6645, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6626, kappa: 0.2155, kb_relative_information_score: 0.3173, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6609, predictive_accuracy: 0.6645, prior_entropy: 0.9027, recall: 0.6645, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7314, kappa: 0.371, kb_relative_information_score: 47.5185, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.729, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7427, kappa: 0.3948, kb_relative_information_score: 36.8192, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7404, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7532, kappa: 0.4111, kb_relative_information_score: 42.8188, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7585, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7314, kappa: 0.371, kb_relative_information_score: 47.5185, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.729, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7427, kappa: 0.3948, kb_relative_information_score: 36.8192, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7404, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7427, kappa: 0.3948, kb_relative_information_score: 36.8192, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7404, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6626, kappa: 0.2155, kb_relative_information_score: 0.3173, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6609, predictive_accuracy: 0.6645, prior_entropy: 0.9027, recall: 0.6645, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7203, kappa: 0.3334, kb_relative_information_score: 33.6867, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7209, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7314, kappa: 0.371, kb_relative_information_score: 47.5185, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.729, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7427, kappa: 0.3948, kb_relative_information_score: 36.8192, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7404, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7203, kappa: 0.3334, kb_relative_information_score: 33.6867, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7209, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7532, kappa: 0.4111, kb_relative_information_score: 42.8188, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7585, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6626, kappa: 0.2155, kb_relative_information_score: 0.3173, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6609, predictive_accuracy: 0.6645, prior_entropy: 0.9027, recall: 0.6645, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7532, kappa: 0.4111, kb_relative_information_score: 42.8188, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7585, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6659, kappa: 0.2176, kb_relative_information_score: 28.614, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6622, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7427, kappa: 0.3948, kb_relative_information_score: 36.8192, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7404, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7314, kappa: 0.371, kb_relative_information_score: 47.5185, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.729, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6659, kappa: 0.2176, kb_relative_information_score: 28.614, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6622, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7532, kappa: 0.4111, kb_relative_information_score: 42.8188, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7585, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6626, kappa: 0.2155, kb_relative_information_score: 0.3173, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6609, predictive_accuracy: 0.6645, prior_entropy: 0.9027, recall: 0.6645, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6659, kappa: 0.2176, kb_relative_information_score: 28.614, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6622, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6626, kappa: 0.2155, kb_relative_information_score: 0.3173, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6609, predictive_accuracy: 0.6645, prior_entropy: 0.9027, recall: 0.6645, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7314, kappa: 0.371, kb_relative_information_score: 47.5185, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.729, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6659, kappa: 0.2176, kb_relative_information_score: 28.614, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6622, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6626, kappa: 0.2155, kb_relative_information_score: 0.3173, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6609, predictive_accuracy: 0.6645, prior_entropy: 0.9027, recall: 0.6645, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7532, kappa: 0.4111, kb_relative_information_score: 42.8188, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7585, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7314, kappa: 0.371, kb_relative_information_score: 47.5185, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.729, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6626, kappa: 0.2155, kb_relative_information_score: 0.3173, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6609, predictive_accuracy: 0.6645, prior_entropy: 0.9027, recall: 0.6645, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7532, kappa: 0.4111, kb_relative_information_score: 42.8188, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7585, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6659, kappa: 0.2176, kb_relative_information_score: 28.614, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6622, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6659, kappa: 0.2176, kb_relative_information_score: 28.614, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6622, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6626, kappa: 0.2155, kb_relative_information_score: 0.3173, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6609, predictive_accuracy: 0.6645, prior_entropy: 0.9027, recall: 0.6645, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7532, kappa: 0.4111, kb_relative_information_score: 42.8188, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7585, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7427, kappa: 0.3948, kb_relative_information_score: 36.8192, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7404, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7203, kappa: 0.3334, kb_relative_information_score: 33.6867, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7209, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7203, kappa: 0.3334, kb_relative_information_score: 33.6867, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7209, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6941, f_measure: 0.7203, kappa: 0.3334, kb_relative_information_score: 33.6867, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7209, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.7903, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4365, root_relative_squared_error: 0.9388,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7532, kappa: 0.4111, kb_relative_information_score: 42.8188, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7585, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6659, kappa: 0.2176, kb_relative_information_score: 28.614, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6622, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6659, kappa: 0.2176, kb_relative_information_score: 28.614, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6622, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6659, kappa: 0.2176, kb_relative_information_score: 28.614, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6622, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7427, kappa: 0.3948, kb_relative_information_score: 36.8192, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7404, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7532, kappa: 0.4111, kb_relative_information_score: 42.8188, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7585, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6626, kappa: 0.2155, kb_relative_information_score: 0.3173, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6609, predictive_accuracy: 0.6645, prior_entropy: 0.9027, recall: 0.6645, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7532, kappa: 0.4111, kb_relative_information_score: 42.8188, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7585, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6659, kappa: 0.2176, kb_relative_information_score: 28.614, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6622, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6659, kappa: 0.2176, kb_relative_information_score: 28.614, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6622, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7427, kappa: 0.3948, kb_relative_information_score: 36.8192, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7404, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7532, kappa: 0.4111, kb_relative_information_score: 42.8188, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7585, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6659, kappa: 0.2176, kb_relative_information_score: 28.614, mean_absolute_error: 0.3406, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6622, predictive_accuracy: 0.671, prior_entropy: 0.9027, recall: 0.671, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6626, kappa: 0.2155, kb_relative_information_score: 0.3173, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6609, predictive_accuracy: 0.6645, prior_entropy: 0.9027, recall: 0.6645, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7006, f_measure: 0.6626, kappa: 0.2155, kb_relative_information_score: 0.3173, mean_absolute_error: 0.4226, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.6609, predictive_accuracy: 0.6645, prior_entropy: 0.9027, recall: 0.6645, relative_absolute_error: 0.9753, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7901, f_measure: 0.7532, kappa: 0.4111, kb_relative_information_score: 42.8188, mean_absolute_error: 0.3196, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7585, predictive_accuracy: 0.7677, prior_entropy: 0.9027, recall: 0.7677, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4043, root_relative_squared_error: 0.8696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7314, kappa: 0.371, kb_relative_information_score: 47.5185, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.729, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7427, kappa: 0.3948, kb_relative_information_score: 36.8192, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7404, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.759, f_measure: 0.7427, kappa: 0.3948, kb_relative_information_score: 36.8192, mean_absolute_error: 0.3239, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.7404, predictive_accuracy: 0.7484, prior_entropy: 0.9027, recall: 0.7484, relative_absolute_error: 0.7476, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4343, root_relative_squared_error: 0.934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7661, f_measure: 0.7314, kappa: 0.371, kb_relative_information_score: 47.5185, mean_absolute_error: 0.2892, mean_prior_absolute_error: 0.4332, number_of_instances: 155, precision: 0.729, predictive_accuracy: 0.7355, prior_entropy: 0.9027, recall: 0.7355, relative_absolute_error: 0.6676, root_mean_prior_squared_error: 0.465, root_mean_squared_error: 0.4444, root_relative_squared_error: 0.9557,

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