OpenML
Joaquin Vanschoren
Search these runs in more detail

Joaquin's runs

0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, kappa: 0.0046, kb_relative_information_score: 0.0513, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0175, number_of_instances: 5154, predictive_accuracy: 0.0175, prior_entropy: 5.7631, relative_absolute_error: 1.0062, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1234, root_relative_squared_error: 1.0219, unweighted_recall: 0.0119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5233, kappa: 0.0148, kb_relative_information_score: 0.0431, mean_absolute_error: 0.0288, mean_prior_absolute_error: 0.0292, weighted_recall: 0.0371, number_of_instances: 5154, predictive_accuracy: 0.0371, prior_entropy: 5.7631, relative_absolute_error: 0.9882, root_mean_prior_squared_error: 0.1208, root_mean_squared_error: 0.1415, root_relative_squared_error: 1.1712, unweighted_recall: 0.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9911, kb_relative_information_score: 0.9676, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.18, weighted_recall: 0.992, number_of_instances: 10992, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 3.3208, relative_absolute_error: 0.0676, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0514, root_relative_squared_error: 0.1715, unweighted_recall: 0.9921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9912, kappa: 0.9902, kb_relative_information_score: 0.9677, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.18, weighted_recall: 0.9912, number_of_instances: 10992, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 3.3208, relative_absolute_error: 0.0672, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.0515, root_relative_squared_error: 0.1716, unweighted_recall: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9369, f_measure: 0.8799, kappa: 0.7335, kb_relative_information_score: 0.5972, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.456, weighted_recall: 0.8818, number_of_instances: 19020, precision: 0.8814, predictive_accuracy: 0.8818, prior_entropy: 0.9355, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.626, unweighted_recall: 0.8569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.4466, kappa: -0.0006, kb_relative_information_score: -0.0077, mean_absolute_error: 0.5038, mean_prior_absolute_error: 0.4999, weighted_recall: 0.4963, number_of_instances: 4000, precision: 0.4996, predictive_accuracy: 0.4963, prior_entropy: 0.9999, relative_absolute_error: 1.0076, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7098, root_relative_squared_error: 1.4196, unweighted_recall: 0.4997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.7651, kappa: 0.7384, kb_relative_information_score: 0.7538, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.18, number_of_instances: 70000, precision: 0.7656, predictive_accuracy: 0.7646, prior_entropy: 3.3219, recall: 0.7646, relative_absolute_error: 0.2616, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.217, root_relative_squared_error: 0.7233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9185, f_measure: 0.8675, kappa: 0.7052, kb_relative_information_score: 11234.4032, mean_absolute_error: 0.1932, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8704, predictive_accuracy: 0.8702, prior_entropy: 0.9355, recall: 0.8702, relative_absolute_error: 0.4236, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9197, kappa: 0.88, kb_relative_information_score: 110.5433, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9202, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9197, kappa: 0.88, kb_relative_information_score: 110.5433, mean_absolute_error: 0.148, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9202, predictive_accuracy: 0.92, prior_entropy: 1.585, recall: 0.92, relative_absolute_error: 0.333, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2376, root_relative_squared_error: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.8864, kappa: 0.83, kb_relative_information_score: 110.2559, mean_absolute_error: 0.1458, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.8864, predictive_accuracy: 0.8867, prior_entropy: 1.585, recall: 0.8867, relative_absolute_error: 0.328, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2503, root_relative_squared_error: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6753, f_measure: 0.6318, kappa: 0.2564, kb_relative_information_score: 1624.8031, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.6386, predictive_accuracy: 0.6403, prior_entropy: 0.9924, recall: 0.6403, relative_absolute_error: 0.908, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.8815, kappa: 0.1878, kb_relative_information_score: 253.0197, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0699, number_of_instances: 3252, precision: 0.8749, predictive_accuracy: 0.9096, prior_entropy: 0.6323, recall: 0.9096, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.1864, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9135, kappa: 0.87, kb_relative_information_score: 113.1675, mean_absolute_error: 0.1369, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9147, predictive_accuracy: 0.9133, prior_entropy: 1.585, recall: 0.9133, relative_absolute_error: 0.308, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.2377, root_relative_squared_error: 0.5042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7992, kappa: 0.5938, kb_relative_information_score: 8873.993, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7991, predictive_accuracy: 0.7993, prior_entropy: 0.9924, recall: 0.7993, relative_absolute_error: 0.4057, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.798, f_measure: 0.8001, kappa: 0.596, kb_relative_information_score: 8900.3907, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8001, predictive_accuracy: 0.8001, prior_entropy: 0.9924, recall: 0.8001, relative_absolute_error: 0.404, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, kappa: 0.6377, kb_relative_information_score: 80.8889, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.8176, prior_entropy: 1.2818, recall: 0.8176, relative_absolute_error: 0.4883, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2493, root_relative_squared_error: 0.6849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9193, kappa: 0.6694, kb_relative_information_score: 83.5052, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.2677, number_of_instances: 148, predictive_accuracy: 0.8311, prior_entropy: 1.2818, recall: 0.8311, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2497, root_relative_squared_error: 0.6862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.8786, kappa: 0.7306, kb_relative_information_score: 11365.5996, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8803, predictive_accuracy: 0.8806, prior_entropy: 0.9355, recall: 0.8806, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.4941, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7918, kappa: 0.5791, kb_relative_information_score: 8646.5673, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.7917, predictive_accuracy: 0.7918, prior_entropy: 0.9924, recall: 0.7918, relative_absolute_error: 0.4208, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8783, kappa: 0.73, kb_relative_information_score: 11354.1444, mean_absolute_error: 0.1943, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8797, predictive_accuracy: 0.8801, prior_entropy: 0.9355, recall: 0.8801, relative_absolute_error: 0.4262, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2993, root_relative_squared_error: 0.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.6835, kappa: 0.259, kb_relative_information_score: 180.2031, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6894, predictive_accuracy: 0.679, prior_entropy: 0.8818, recall: 0.679, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5666, root_relative_squared_error: 1.2364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6357, f_measure: 0.6861, kappa: 0.2639, kb_relative_information_score: 187.8596, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4202, number_of_instances: 1000, precision: 0.6914, predictive_accuracy: 0.682, prior_entropy: 0.8818, recall: 0.682, relative_absolute_error: 0.7569, root_mean_prior_squared_error: 0.4583, root_mean_squared_error: 0.5639, root_relative_squared_error: 1.2306,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.989, kappa: 0.6152, kb_relative_information_score: 2049.4382, mean_absolute_error: 0.0108, mean_prior_absolute_error: 0.0292, number_of_instances: 5100, precision: 0.9889, predictive_accuracy: 0.9892, prior_entropy: 0.1117, recall: 0.9892, relative_absolute_error: 0.3698, root_mean_prior_squared_error: 0.1204, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.8627,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Illegal combination of evaluation measure attributes (repeat, fold, sample): Measure(s): predictive_accuracy(0, 0, 0), usercpu_time_millis_testing(0, 0, 0), usercpu_time_millis(0, 0, 0), root_mean_squared_error(0, 0, 0), root_relative_squared_error(0, 0, 0), kappa(0, 0, 0), usercpu_time_millis_training(0, 0, 0), predictive_accuracy(0, 1, 0), usercpu_time_millis_testing(0, 1, 0), usercpu_time_millis(0, 1, 0), root_mean_squared_error(0, 1, 0), root_relative_squared_error(0, 1, 0), kappa(0, 1, 0), usercpu_time_millis_training(0, 1, 0), predictive_accuracy(0, 2, 0), usercpu_time_millis_testing(0, 2, 0), usercpu_time_millis(0, 2, 0), root_mean_squared_error(0, 2, 0), root_relative_squared_error(0, 2, 0), kappa(0, 2, 0), usercpu_time_millis_training(0, 2, 0), predictive_accuracy(0, 3, 0), usercpu_time_millis_testing(0, 3, 0), usercpu_time_millis(0, 3, 0), root_mean_squared_error(0, 3, 0), root_relative_squared_error(0, 3, 0), kappa(0, 3, 0), usercpu_time_millis_training(... (message cut-off due to excessive length)
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Read timed out
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Read timed out
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Read timed out
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7823, kappa: 0.5136, kb_relative_information_score: 7076.4397, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7859, predictive_accuracy: 0.7894, prior_entropy: 0.9355, recall: 0.7894, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9301, f_measure: 0.6245, kappa: 0.5906, kb_relative_information_score: 99021.8645, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.0836, number_of_instances: 149332, precision: 0.6338, predictive_accuracy: 0.6227, prior_entropy: 3.9917, recall: 0.6227, relative_absolute_error: 0.489, root_mean_prior_squared_error: 0.2045, root_mean_squared_error: 0.1473, root_relative_squared_error: 0.7202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, kappa: 0.0179, kb_relative_information_score: -357.7525, mean_absolute_error: 0.0609, mean_prior_absolute_error: 0.0699, number_of_instances: 3252, predictive_accuracy: 0.9081, prior_entropy: 0.6323, recall: 0.9081, relative_absolute_error: 0.8706, root_mean_prior_squared_error: 0.1864, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9561, kappa: 0.9111, kb_relative_information_score: 12570.0237, mean_absolute_error: 0.087, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9564, predictive_accuracy: 0.9561, prior_entropy: 0.9924, recall: 0.9561, relative_absolute_error: 0.1758, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8386, f_measure: 0.7824, kappa: 0.5138, kb_relative_information_score: 7073.599, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7861, predictive_accuracy: 0.7895, prior_entropy: 0.9355, recall: 0.7895, relative_absolute_error: 0.6495, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 130.6458, mean_absolute_error: 0.0692, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.197, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9364, f_measure: 0.8807, kappa: 0.7353, kb_relative_information_score: 11369.2028, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8824, predictive_accuracy: 0.8826, prior_entropy: 0.9355, recall: 0.8826, relative_absolute_error: 0.4255, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7375, f_measure: 0.331, kappa: 0.2576, kb_relative_information_score: 5708.1193, mean_absolute_error: 0.1545, mean_prior_absolute_error: 0.18, number_of_instances: 20000, precision: 0.3381, predictive_accuracy: 0.3319, prior_entropy: 3.3218, recall: 0.3319, relative_absolute_error: 0.8582, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2839, root_relative_squared_error: 0.9462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5961, kb_relative_information_score: -14784.8682, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.0328, number_of_instances: 3686, predictive_accuracy: 0.9835, prior_entropy: 0.1231, recall: 0.9835, relative_absolute_error: 1.1818, root_mean_prior_squared_error: 0.1276, root_mean_squared_error: 0.1347, root_relative_squared_error: 1.0558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9261, f_measure: 0.6249, kappa: 0.591, kb_relative_information_score: 99055.9177, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.0836, number_of_instances: 149332, precision: 0.6336, predictive_accuracy: 0.6231, prior_entropy: 3.9917, recall: 0.6231, relative_absolute_error: 0.4853, root_mean_prior_squared_error: 0.2045, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.7217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8079, f_measure: 0.8666, kappa: 0.0338, kb_relative_information_score: -342.2036, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.0699, number_of_instances: 3252, precision: 0.8355, predictive_accuracy: 0.9074, prior_entropy: 0.6323, recall: 0.9074, relative_absolute_error: 0.8631, root_mean_prior_squared_error: 0.1864, root_mean_squared_error: 0.1805, root_relative_squared_error: 0.9683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9585, kappa: 0.916, kb_relative_information_score: 12710.687, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9924, recall: 0.9585, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8387, f_measure: 0.7824, kappa: 0.5137, kb_relative_information_score: 7075.4138, mean_absolute_error: 0.2961, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7862, predictive_accuracy: 0.7895, prior_entropy: 0.9355, recall: 0.7895, relative_absolute_error: 0.6493, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 129.9547, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1997, root_relative_squared_error: 0.4237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9367, f_measure: 0.8794, kappa: 0.7322, kb_relative_information_score: 11349.1649, mean_absolute_error: 0.1947, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8812, predictive_accuracy: 0.8814, prior_entropy: 0.9355, recall: 0.8814, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9156, f_measure: 0.6238, kappa: 0.5898, kb_relative_information_score: 98901.1641, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.0836, number_of_instances: 149332, precision: 0.6322, predictive_accuracy: 0.622, prior_entropy: 3.9917, recall: 0.622, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.2045, root_mean_squared_error: 0.1488, root_relative_squared_error: 0.7274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8304, f_measure: 0.8669, kappa: 0.0486, kb_relative_information_score: -154.7375, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.0699, number_of_instances: 3252, precision: 0.8484, predictive_accuracy: 0.905, prior_entropy: 0.6323, recall: 0.905, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.1864, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.9629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9639, kappa: 0.9269, kb_relative_information_score: 13011.0412, mean_absolute_error: 0.0707, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9639, predictive_accuracy: 0.9639, prior_entropy: 0.9924, recall: 0.9639, relative_absolute_error: 0.1428, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8388, f_measure: 0.7826, kappa: 0.5141, kb_relative_information_score: 7077.9989, mean_absolute_error: 0.296, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.7863, predictive_accuracy: 0.7897, prior_entropy: 0.9355, recall: 0.7897, relative_absolute_error: 0.6492, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3841, root_relative_squared_error: 0.8044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9398, kappa: 0.91, kb_relative_information_score: 132.4581, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9428, predictive_accuracy: 0.94, prior_entropy: 1.585, recall: 0.94, relative_absolute_error: 0.1435, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1875, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8788, kappa: 0.731, kb_relative_information_score: 11357.884, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8805, predictive_accuracy: 0.8808, prior_entropy: 0.9355, recall: 0.8808, relative_absolute_error: 0.4263, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9365, f_measure: 0.8783, kappa: 0.73, kb_relative_information_score: 11363.3519, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8798, predictive_accuracy: 0.8802, prior_entropy: 0.9355, recall: 0.8802, relative_absolute_error: 0.4257, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.1667, kb_relative_information_score: -0.0001, mean_absolute_error: 0.4444, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.1111, predictive_accuracy: 0.3333, prior_entropy: 1.585, recall: 0.3333, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1, scimark_benchmark: 1519.6032, usercpu_time_millis: 1.855, usercpu_time_millis_testing: 1.636, usercpu_time_millis_training: 0.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8813, kappa: 0.7366, kb_relative_information_score: 11371.3349, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.883, predictive_accuracy: 0.8832, prior_entropy: 0.9355, recall: 0.8832, relative_absolute_error: 0.4258, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.299, root_relative_squared_error: 0.6261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8122, kappa: 0.6531, kb_relative_information_score: 82.4429, mean_absolute_error: 0.1291, mean_prior_absolute_error: 0.2677, number_of_instances: 148, precision: 0.8179, predictive_accuracy: 0.8243, prior_entropy: 1.2818, recall: 0.8243, relative_absolute_error: 0.482, root_mean_prior_squared_error: 0.3639, root_mean_squared_error: 0.2415, root_relative_squared_error: 0.6635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9806, kappa: 0.9607, kb_relative_information_score: 14389.0685, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.9924, recall: 0.9806, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.2802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.6215, kappa: 0.5867, kb_relative_information_score: 98308.9695, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.0836, number_of_instances: 149332, precision: 0.6302, predictive_accuracy: 0.6192, prior_entropy: 3.9917, recall: 0.6192, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.2045, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.8815, kappa: 0.1878, kb_relative_information_score: 253.0197, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0699, number_of_instances: 3252, precision: 0.8749, predictive_accuracy: 0.9096, prior_entropy: 0.6323, recall: 0.9096, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.1864, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 131.5719, mean_absolute_error: 0.0662, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4105,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.8815, kappa: 0.1878, kb_relative_information_score: 253.0197, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0699, number_of_instances: 3252, precision: 0.8749, predictive_accuracy: 0.9096, prior_entropy: 0.6323, recall: 0.9096, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.1864, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.9332, kappa: 0.9, kb_relative_information_score: 132.1411, mean_absolute_error: 0.0648, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9351, predictive_accuracy: 0.9333, prior_entropy: 1.585, recall: 0.9333, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.4019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9203, f_measure: 0.8664, kappa: 0.7027, kb_relative_information_score: 11270.2011, mean_absolute_error: 0.1925, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8698, predictive_accuracy: 0.8694, prior_entropy: 0.9355, recall: 0.8694, relative_absolute_error: 0.4221, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3129, root_relative_squared_error: 0.6552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9806, kappa: 0.9607, kb_relative_information_score: 14389.0685, mean_absolute_error: 0.0194, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9806, predictive_accuracy: 0.9806, prior_entropy: 0.9924, recall: 0.9806, relative_absolute_error: 0.0393, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.2802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.9109, kappa: 0.8195, kb_relative_information_score: 9352.9585, mean_absolute_error: 0.2053, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9139, predictive_accuracy: 0.9115, prior_entropy: 0.9924, recall: 0.9115, relative_absolute_error: 0.4149, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.278, root_relative_squared_error: 0.559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9102, kappa: 0.818, kb_relative_information_score: 9305.7525, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9132, predictive_accuracy: 0.9107, prior_entropy: 0.9924, recall: 0.9107, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.5616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9102, kappa: 0.818, kb_relative_information_score: 9305.7525, mean_absolute_error: 0.207, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9132, predictive_accuracy: 0.9107, prior_entropy: 0.9924, recall: 0.9107, relative_absolute_error: 0.4184, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2793, root_relative_squared_error: 0.5616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8673, kappa: 0.7046, kb_relative_information_score: 11203.5823, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8704, predictive_accuracy: 0.8701, prior_entropy: 0.9355, recall: 0.8701, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.8673, kappa: 0.7046, kb_relative_information_score: 11203.5823, mean_absolute_error: 0.1939, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8704, predictive_accuracy: 0.8701, prior_entropy: 0.9355, recall: 0.8701, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.6215, kappa: 0.5867, kb_relative_information_score: 98308.9695, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.0836, number_of_instances: 149332, precision: 0.6302, predictive_accuracy: 0.6192, prior_entropy: 3.9917, recall: 0.6192, relative_absolute_error: 0.4675, root_mean_prior_squared_error: 0.2045, root_mean_squared_error: 0.1514, root_relative_squared_error: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8585, f_measure: 0.8815, kappa: 0.1878, kb_relative_information_score: 253.0197, mean_absolute_error: 0.0543, mean_prior_absolute_error: 0.0699, number_of_instances: 3252, precision: 0.8749, predictive_accuracy: 0.9096, prior_entropy: 0.6323, recall: 0.9096, relative_absolute_error: 0.777, root_mean_prior_squared_error: 0.1864, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.9555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.969, kappa: 0.9374, kb_relative_information_score: 13353.2303, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.969, predictive_accuracy: 0.969, prior_entropy: 0.9924, recall: 0.969, relative_absolute_error: 0.117, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9533, kappa: 0.93, kb_relative_information_score: 132.8978, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9544, predictive_accuracy: 0.9533, prior_entropy: 1.585, recall: 0.9533, relative_absolute_error: 0.1409, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.3971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.919, f_measure: 0.8679, kappa: 0.7062, kb_relative_information_score: 11252.8985, mean_absolute_error: 0.1929, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8709, predictive_accuracy: 0.8707, prior_entropy: 0.9355, recall: 0.8707, relative_absolute_error: 0.4229, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.314, root_relative_squared_error: 0.6577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.8177, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1411, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1874, root_relative_squared_error: 0.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.8642, kappa: 0.6977, kb_relative_information_score: 11203.3275, mean_absolute_error: 0.1934, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8673, predictive_accuracy: 0.8671, prior_entropy: 0.9355, recall: 0.8671, relative_absolute_error: 0.4241, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.316, root_relative_squared_error: 0.6619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.5255, kappa: 0.4274, kb_relative_information_score: 4438.827, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.2553, number_of_instances: 9901, precision: 0.4933, predictive_accuracy: 0.5777, prior_entropy: 2.1949, recall: 0.5777, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.3573, root_mean_squared_error: 0.3752, root_relative_squared_error: 1.05, usercpu_time_millis: 3.409, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 3.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.5255, kappa: 0.4274, kb_relative_information_score: 4438.827, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.2553, number_of_instances: 9901, precision: 0.4933, predictive_accuracy: 0.5777, prior_entropy: 2.1949, recall: 0.5777, relative_absolute_error: 0.5513, root_mean_prior_squared_error: 0.3573, root_mean_squared_error: 0.3752, root_relative_squared_error: 1.05, usercpu_time_millis: 1.747, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.9443, kappa: 0.9275, kb_relative_information_score: 9202.3692, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.2553, number_of_instances: 9901, precision: 0.9445, predictive_accuracy: 0.9446, prior_entropy: 2.1949, recall: 0.9446, relative_absolute_error: 0.0724, root_mean_prior_squared_error: 0.3573, root_mean_squared_error: 0.136, root_relative_squared_error: 0.3805, usercpu_time_millis: 127.623, usercpu_time_millis_testing: 2.167, usercpu_time_millis_training: 125.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.88, f_measure: 0.7972, kappa: 0.7611, kb_relative_information_score: 4889.8596, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.2701, number_of_instances: 6435, precision: 0.7997, predictive_accuracy: 0.8089, prior_entropy: 2.4835, recall: 0.8089, relative_absolute_error: 0.2359, root_mean_prior_squared_error: 0.3675, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.6869, usercpu_time_millis: 1.01, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9805, f_measure: 0.9265, kappa: 0.89, kb_relative_information_score: 130.9574, mean_absolute_error: 0.0679, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9293, predictive_accuracy: 0.9267, prior_entropy: 1.585, recall: 0.9267, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1946, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8686, kappa: 0.7078, kb_relative_information_score: 11224.7975, mean_absolute_error: 0.1935, mean_prior_absolute_error: 0.456, number_of_instances: 19020, precision: 0.8714, predictive_accuracy: 0.8713, prior_entropy: 0.9355, recall: 0.8713, relative_absolute_error: 0.4244, root_mean_prior_squared_error: 0.4775, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9755, f_measure: 0.9466, kappa: 0.92, kb_relative_information_score: 132.5965, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4444, number_of_instances: 150, precision: 0.9485, predictive_accuracy: 0.9467, prior_entropy: 1.585, recall: 0.9467, relative_absolute_error: 0.1437, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.1858, root_relative_squared_error: 0.3942,