OpenML
Supervised Classification on climate-model-simulation-crashes

Supervised Classification on climate-model-simulation-crashes

Task 9980 Supervised Classification climate-model-simulation-crashes 99429 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.8667, kappa: 0.1815, kb_relative_information_score: -113.2977, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8727, predictive_accuracy: 0.8611, prior_entropy: 0.4254, recall: 0.8611, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.3078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.868, kappa: 0.1611, kb_relative_information_score: -151.496, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8693, predictive_accuracy: 0.8667, prior_entropy: 0.4254, recall: 0.8667, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.1495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6501, f_measure: 0.8692, kappa: 0.1646, kb_relative_information_score: -90.7582, mean_absolute_error: 0.1364, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8698, predictive_accuracy: 0.8685, prior_entropy: 0.4254, recall: 0.8685, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3511, root_relative_squared_error: 1.2577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.8776, kappa: 0.0542, kb_relative_information_score: -70.0097, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8636, predictive_accuracy: 0.9093, prior_entropy: 0.4254, recall: 0.9093, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.8839, kappa: 0.2137, kb_relative_information_score: -61.681, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8782, predictive_accuracy: 0.8907, prior_entropy: 0.4254, recall: 0.8907, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2851, root_relative_squared_error: 1.0214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.8776, kappa: 0.0542, kb_relative_information_score: -70.0097, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8636, predictive_accuracy: 0.9093, prior_entropy: 0.4254, recall: 0.9093, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6296, f_measure: 0.8728, kappa: 0.1998, kb_relative_information_score: -84.7215, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8754, predictive_accuracy: 0.8704, prior_entropy: 0.4254, recall: 0.8704, relative_absolute_error: 0.8805, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3576, root_relative_squared_error: 1.2809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.868, kappa: 0.1611, kb_relative_information_score: -151.496, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8693, predictive_accuracy: 0.8667, prior_entropy: 0.4254, recall: 0.8667, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.1495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.8778, kappa: 0.2158, kb_relative_information_score: -48.1679, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8778, predictive_accuracy: 0.8778, prior_entropy: 0.4254, recall: 0.8778, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6982, f_measure: 0.8892, kappa: 0.2568, kb_relative_information_score: 4.2113, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8847, predictive_accuracy: 0.8944, prior_entropy: 0.4254, recall: 0.8944, relative_absolute_error: 0.7728, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3077, root_relative_squared_error: 1.1024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.8803, kappa: 0.2126, kb_relative_information_score: -70.2919, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8774, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2965, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.8892, kappa: 0.2568, kb_relative_information_score: -129.7769, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8847, predictive_accuracy: 0.8944, prior_entropy: 0.4254, recall: 0.8944, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.275, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.8667, kappa: 0.1815, kb_relative_information_score: -113.2977, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8727, predictive_accuracy: 0.8611, prior_entropy: 0.4254, recall: 0.8611, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.3078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.9088, kappa: 0.412, kb_relative_information_score: 7.3767, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9084, predictive_accuracy: 0.9093, prior_entropy: 0.4254, recall: 0.9093, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6718, f_measure: 0.879, kappa: 0.2084, kb_relative_information_score: -40.1271, mean_absolute_error: 0.1275, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8767, predictive_accuracy: 0.8815, prior_entropy: 0.4254, recall: 0.8815, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3217, root_relative_squared_error: 1.1524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.8803, kappa: 0.2243, kb_relative_information_score: -62.7013, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8791, predictive_accuracy: 0.8815, prior_entropy: 0.4254, recall: 0.8815, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3062, root_relative_squared_error: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6257, f_measure: 0.8732, kappa: -0.0036, kb_relative_information_score: -53.0473, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8367, predictive_accuracy: 0.913, prior_entropy: 0.4254, recall: 0.913, relative_absolute_error: 0.9489, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2783, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.8803, kappa: 0.2126, kb_relative_information_score: -70.2919, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8774, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2965, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.8716, kappa: 0.1844, kb_relative_information_score: -186.9404, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8729, predictive_accuracy: 0.8704, prior_entropy: 0.4254, recall: 0.8704, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.31, root_relative_squared_error: 1.1106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6924, f_measure: 0.8957, kappa: 0.2832, kb_relative_information_score: -18.6351, mean_absolute_error: 0.1361, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.89, predictive_accuracy: 0.9037, prior_entropy: 0.4254, recall: 0.9037, relative_absolute_error: 0.8664, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2686, root_relative_squared_error: 0.9623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.8828, kappa: 0.2215, kb_relative_information_score: -125.5661, mean_absolute_error: 0.1346, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8789, predictive_accuracy: 0.887, prior_entropy: 0.4254, recall: 0.887, relative_absolute_error: 0.8566, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2817, root_relative_squared_error: 1.0092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.8803, kappa: 0.2126, kb_relative_information_score: -70.2919, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8774, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2965, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7394, f_measure: 0.8839, kappa: 0.2137, kb_relative_information_score: -61.681, mean_absolute_error: 0.128, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8782, predictive_accuracy: 0.8907, prior_entropy: 0.4254, recall: 0.8907, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2851, root_relative_squared_error: 1.0214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.8803, kappa: 0.2126, kb_relative_information_score: -70.2919, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8774, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2965, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.8879, kappa: 0.2404, kb_relative_information_score: -135.797, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8824, predictive_accuracy: 0.8944, prior_entropy: 0.4254, recall: 0.8944, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.8835, kappa: 0.1596, kb_relative_information_score: -25.7563, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.873, predictive_accuracy: 0.9, prior_entropy: 0.4254, recall: 0.9, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6997, f_measure: 0.8787, kappa: 0.0584, kb_relative_information_score: -55.1582, mean_absolute_error: 0.1413, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8678, predictive_accuracy: 0.9111, prior_entropy: 0.4254, recall: 0.9111, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2774, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.8803, kappa: 0.2126, kb_relative_information_score: -70.2919, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8774, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2965, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.8803, kappa: 0.2243, kb_relative_information_score: -62.7013, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8791, predictive_accuracy: 0.8815, prior_entropy: 0.4254, recall: 0.8815, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3062, root_relative_squared_error: 1.097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.8654, kappa: 0.178, kb_relative_information_score: -132.3974, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8722, predictive_accuracy: 0.8593, prior_entropy: 0.4254, recall: 0.8593, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.34, root_relative_squared_error: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.8803, kappa: 0.2126, kb_relative_information_score: -70.2919, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8774, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2965, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.8792, kappa: 0.1284, kb_relative_information_score: -111.4231, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8674, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2811, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7925, f_measure: 0.9088, kappa: 0.412, kb_relative_information_score: 7.3767, mean_absolute_error: 0.1206, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.9084, predictive_accuracy: 0.9093, prior_entropy: 0.4254, recall: 0.9093, relative_absolute_error: 0.7675, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2544, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.8792, kappa: 0.1284, kb_relative_information_score: -111.4231, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8674, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2811, root_relative_squared_error: 1.007,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6709, f_measure: 0.8667, kappa: 0.1815, kb_relative_information_score: -113.2977, mean_absolute_error: 0.1383, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8727, predictive_accuracy: 0.8611, prior_entropy: 0.4254, recall: 0.8611, relative_absolute_error: 0.8802, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.3078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.8815, kappa: 0.217, kb_relative_information_score: -41.9365, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8782, predictive_accuracy: 0.8852, prior_entropy: 0.4254, recall: 0.8852, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3103, root_relative_squared_error: 1.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.8803, kappa: 0.2126, kb_relative_information_score: -70.2919, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8774, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2965, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.8704, kappa: -0.0138, kb_relative_information_score: -62.8255, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8363, predictive_accuracy: 0.9074, prior_entropy: 0.4254, recall: 0.9074, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2837, root_relative_squared_error: 1.0163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.8792, kappa: 0.1284, kb_relative_information_score: -111.4231, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8674, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2811, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6683, f_measure: 0.8778, kappa: 0.2158, kb_relative_information_score: -48.1679, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8778, predictive_accuracy: 0.8778, prior_entropy: 0.4254, recall: 0.8778, relative_absolute_error: 0.821, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.1854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.8783, kappa: 0.1095, kb_relative_information_score: -131.5713, mean_absolute_error: 0.1343, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8652, predictive_accuracy: 0.8981, prior_entropy: 0.4254, recall: 0.8981, relative_absolute_error: 0.855, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7112, f_measure: 0.8828, kappa: 0.1419, kb_relative_information_score: -123.3666, mean_absolute_error: 0.1432, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8715, predictive_accuracy: 0.9019, prior_entropy: 0.4254, recall: 0.9019, relative_absolute_error: 0.9111, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2813, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.8792, kappa: 0.1284, kb_relative_information_score: -111.4231, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8674, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2811, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.8716, kappa: 0.1844, kb_relative_information_score: -186.9404, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8729, predictive_accuracy: 0.8704, prior_entropy: 0.4254, recall: 0.8704, relative_absolute_error: 0.9379, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.31, root_relative_squared_error: 1.1106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.8776, kappa: 0.0542, kb_relative_information_score: -70.0097, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8636, predictive_accuracy: 0.9093, prior_entropy: 0.4254, recall: 0.9093, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2772, root_relative_squared_error: 0.9929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.8815, kappa: 0.217, kb_relative_information_score: -41.9365, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8782, predictive_accuracy: 0.8852, prior_entropy: 0.4254, recall: 0.8852, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3103, root_relative_squared_error: 1.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.74, f_measure: 0.8852, kappa: 0.2184, kb_relative_information_score: -68.4638, mean_absolute_error: 0.1311, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8791, predictive_accuracy: 0.8926, prior_entropy: 0.4254, recall: 0.8926, relative_absolute_error: 0.8341, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2996, root_relative_squared_error: 1.0733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.8879, kappa: 0.2404, kb_relative_information_score: -135.797, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8824, predictive_accuracy: 0.8944, prior_entropy: 0.4254, recall: 0.8944, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.77, f_measure: 0.8852, kappa: 0.2184, kb_relative_information_score: -110.1082, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8791, predictive_accuracy: 0.8926, prior_entropy: 0.4254, recall: 0.8926, relative_absolute_error: 0.8354, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2836, root_relative_squared_error: 1.0157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.8879, kappa: 0.2404, kb_relative_information_score: -135.797, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8824, predictive_accuracy: 0.8944, prior_entropy: 0.4254, recall: 0.8944, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.8892, kappa: 0.2568, kb_relative_information_score: -129.7769, mean_absolute_error: 0.1336, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8847, predictive_accuracy: 0.8944, prior_entropy: 0.4254, recall: 0.8944, relative_absolute_error: 0.8502, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.275, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.8803, kappa: 0.2126, kb_relative_information_score: -70.2919, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8774, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2965, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.8835, kappa: 0.1596, kb_relative_information_score: -25.7563, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.873, predictive_accuracy: 0.9, prior_entropy: 0.4254, recall: 0.9, relative_absolute_error: 0.9259, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2778, root_relative_squared_error: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.868, kappa: 0.1611, kb_relative_information_score: -151.496, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8693, predictive_accuracy: 0.8667, prior_entropy: 0.4254, recall: 0.8667, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.1495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.8803, kappa: 0.2126, kb_relative_information_score: -70.2919, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8774, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2965, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5728, f_measure: 0.8807, kappa: 0.1182, kb_relative_information_score: -23.6695, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8682, predictive_accuracy: 0.9019, prior_entropy: 0.4254, recall: 0.9019, relative_absolute_error: 0.9488, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2797, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.868, kappa: 0.1611, kb_relative_information_score: -151.496, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8693, predictive_accuracy: 0.8667, prior_entropy: 0.4254, recall: 0.8667, relative_absolute_error: 0.918, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3209, root_relative_squared_error: 1.1495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.71, f_measure: 0.8866, kappa: 0.247, kb_relative_information_score: -13.3508, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.883, predictive_accuracy: 0.8907, prior_entropy: 0.4254, recall: 0.8907, relative_absolute_error: 0.8002, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3155, root_relative_squared_error: 1.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7187, f_measure: 0.8734, kappa: 0.0386, kb_relative_information_score: -169.0073, mean_absolute_error: 0.1517, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8542, predictive_accuracy: 0.9019, prior_entropy: 0.4254, recall: 0.9019, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2882, root_relative_squared_error: 1.0325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.8792, kappa: 0.1284, kb_relative_information_score: -111.4231, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8674, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2811, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.8704, kappa: -0.0138, kb_relative_information_score: -62.8255, mean_absolute_error: 0.1557, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8363, predictive_accuracy: 0.9074, prior_entropy: 0.4254, recall: 0.9074, relative_absolute_error: 0.9911, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2837, root_relative_squared_error: 1.0163,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.8792, kappa: 0.1284, kb_relative_information_score: -111.4231, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8674, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2811, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.8792, kappa: 0.1284, kb_relative_information_score: -111.4231, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8674, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2811, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7284, f_measure: 0.8803, kappa: 0.2126, kb_relative_information_score: -70.2919, mean_absolute_error: 0.1306, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8774, predictive_accuracy: 0.8833, prior_entropy: 0.4254, recall: 0.8833, relative_absolute_error: 0.831, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2965, root_relative_squared_error: 1.0621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.8654, kappa: 0.178, kb_relative_information_score: -132.3974, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8722, predictive_accuracy: 0.8593, prior_entropy: 0.4254, recall: 0.8593, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.34, root_relative_squared_error: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.8792, kappa: 0.1284, kb_relative_information_score: -111.4231, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8674, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2811, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.8815, kappa: 0.217, kb_relative_information_score: -41.9365, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8782, predictive_accuracy: 0.8852, prior_entropy: 0.4254, recall: 0.8852, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3103, root_relative_squared_error: 1.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6041, f_measure: 0.8741, kb_relative_information_score: -22.7128, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2758, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.8654, kappa: 0.178, kb_relative_information_score: -132.3974, mean_absolute_error: 0.1442, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8722, predictive_accuracy: 0.8593, prior_entropy: 0.4254, recall: 0.8593, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.34, root_relative_squared_error: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.8879, kappa: 0.2404, kb_relative_information_score: -135.797, mean_absolute_error: 0.1325, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8824, predictive_accuracy: 0.8944, prior_entropy: 0.4254, recall: 0.8944, relative_absolute_error: 0.8434, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6073, f_measure: 0.8815, kappa: 0.217, kb_relative_information_score: -41.9365, mean_absolute_error: 0.1248, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8782, predictive_accuracy: 0.8852, prior_entropy: 0.4254, recall: 0.8852, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3103, root_relative_squared_error: 1.1117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.8792, kappa: 0.1284, kb_relative_information_score: -111.4231, mean_absolute_error: 0.1334, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8674, predictive_accuracy: 0.8963, prior_entropy: 0.4254, recall: 0.8963, relative_absolute_error: 0.8491, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2811, root_relative_squared_error: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4715, f_measure: 0.8741, kb_relative_information_score: 2.5067, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8369, predictive_accuracy: 0.9148, prior_entropy: 0.4254, recall: 0.9148, relative_absolute_error: 0.992, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2792, root_relative_squared_error: 1.0001,

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

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From your own software

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

OpenML APIs