Task
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: 0.6809, 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: 0.7612, f_measure: 0.8821, kappa: 0.1818, kb_relative_information_score: -134.6575, mean_absolute_error: 0.1365, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.874, predictive_accuracy: 0.8926, prior_entropy: 0.4254, recall: 0.8926, relative_absolute_error: 0.869, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2801, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6926, f_measure: 0.8879, kappa: 0.2519, kb_relative_information_score: -41.3246, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8838, predictive_accuracy: 0.8926, prior_entropy: 0.4254, recall: 0.8926, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2968, root_relative_squared_error: 1.0631,
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: 0.7624, 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: 0.7833, 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: 0.7663, f_measure: 0.8839, kappa: 0.2137, kb_relative_information_score: -96.4851, mean_absolute_error: 0.13, 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: 0.8272, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2831, root_relative_squared_error: 1.0141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7669, f_measure: 0.8839, kappa: 0.2137, kb_relative_information_score: -111.7088, mean_absolute_error: 0.131, 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: 0.8338, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2834, root_relative_squared_error: 1.0153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7304, f_measure: 0.8784, kappa: 0.0932, kb_relative_information_score: -99.8962, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8643, predictive_accuracy: 0.9019, prior_entropy: 0.4254, recall: 0.9019, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2888, root_relative_squared_error: 1.0344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6554, f_measure: 0.8734, kappa: 0.0386, kb_relative_information_score: -121.5246, mean_absolute_error: 0.1514, 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: 0.9632, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.286, root_relative_squared_error: 1.0246,
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: 0.6809, 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: 0.6701, f_measure: 0.8866, kappa: 0.2355, kb_relative_information_score: -16.4179, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8815, predictive_accuracy: 0.8926, prior_entropy: 0.4254, recall: 0.8926, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3047, root_relative_squared_error: 1.0915,
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: 0.7424, f_measure: 0.8803, kappa: 0.2243, kb_relative_information_score: -63.7432, mean_absolute_error: 0.1317, 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: 0.838, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3061, root_relative_squared_error: 1.0966,
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: 0.6966, 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: 0.7439, 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: 0.6862, f_measure: 0.8679, kappa: 0.185, kb_relative_information_score: -141.5729, mean_absolute_error: 0.1455, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8732, predictive_accuracy: 0.863, prior_entropy: 0.4254, recall: 0.863, relative_absolute_error: 0.926, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3386, root_relative_squared_error: 1.2131,
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: 0.7665, 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: 0.7284, 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: 0.7284, 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: 0.4715, 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: 0.7148, f_measure: 0.8853, kappa: 0.2307, kb_relative_information_score: -61.7673, mean_absolute_error: 0.1284, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8806, predictive_accuracy: 0.8907, prior_entropy: 0.4254, recall: 0.8907, relative_absolute_error: 0.817, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2973, root_relative_squared_error: 1.065,
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: 0.6809, 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: 0.6709, 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: 0.6914, f_measure: 0.8713, kappa: 0.0314, kb_relative_information_score: -116.6827, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8515, predictive_accuracy: 0.8981, prior_entropy: 0.4254, recall: 0.8981, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.284, root_relative_squared_error: 1.0175,
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: 0.6926, f_measure: 0.8879, kappa: 0.2519, kb_relative_information_score: -41.3246, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8838, predictive_accuracy: 0.8926, prior_entropy: 0.4254, recall: 0.8926, relative_absolute_error: 0.7967, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2968, root_relative_squared_error: 1.0631,
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: 0.7665, f_measure: 0.8814, kappa: 0.2047, kb_relative_information_score: -103.0333, mean_absolute_error: 0.133, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8765, predictive_accuracy: 0.887, prior_entropy: 0.4254, recall: 0.887, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.289, root_relative_squared_error: 1.0354,
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: 0.6683, 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: 0.4715, 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: 0.6718, 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: 0.6809, 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: 0.7187, 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: 0.6809, 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: 0.7284, 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: 0.7925, 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: 0.6809, 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: 0.7925, 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: 0.5639, 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: 0.6809, 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: 0.7304, f_measure: 0.8784, kappa: 0.0932, kb_relative_information_score: -99.8962, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8643, predictive_accuracy: 0.9019, prior_entropy: 0.4254, recall: 0.9019, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2888, root_relative_squared_error: 1.0344,
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: 0.7833, 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: 0.7925, 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: 0.6554, f_measure: 0.8734, kappa: 0.0386, kb_relative_information_score: -121.5246, mean_absolute_error: 0.1514, 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: 0.9632, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.286, root_relative_squared_error: 1.0246,
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: 0.6198, f_measure: 0.8679, kappa: 0.185, kb_relative_information_score: -112.1098, mean_absolute_error: 0.1425, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8732, predictive_accuracy: 0.863, prior_entropy: 0.4254, recall: 0.863, relative_absolute_error: 0.9068, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3623, root_relative_squared_error: 1.2978,
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: 0.7738, 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: 0.4715, 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: 0.6422, f_measure: 0.8828, kappa: 0.2215, kb_relative_information_score: -34.4783, mean_absolute_error: 0.1254, 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: 0.7981, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3083, root_relative_squared_error: 1.1043,
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: 0.7355, f_measure: 0.8917, kappa: 0.2557, kb_relative_information_score: -12.7269, mean_absolute_error: 0.1222, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8855, predictive_accuracy: 0.9, prior_entropy: 0.4254, recall: 0.9, relative_absolute_error: 0.7774, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2987, root_relative_squared_error: 1.07,
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: 0.6914, f_measure: 0.8713, kappa: 0.0314, kb_relative_information_score: -116.6827, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8515, predictive_accuracy: 0.8981, prior_entropy: 0.4254, recall: 0.8981, relative_absolute_error: 0.9411, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.284, root_relative_squared_error: 1.0175,
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: 0.6073, 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: 0.7624, 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: 0.6683, 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: 0.6683, 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: 0.7663, f_measure: 0.8839, kappa: 0.2137, kb_relative_information_score: -96.4851, mean_absolute_error: 0.13, 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: 0.8272, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2831, root_relative_squared_error: 1.0141,
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: 0.4715, 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: 0.7619, f_measure: 0.8837, kappa: 0.2005, kb_relative_information_score: -128.6374, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8766, predictive_accuracy: 0.8926, prior_entropy: 0.4254, recall: 0.8926, relative_absolute_error: 0.8757, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2791, root_relative_squared_error: 0.9997,
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: 0.6966, 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: 0.7624, 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: 0.6018, f_measure: 0.8703, kappa: 0.1923, kb_relative_information_score: -85.78, mean_absolute_error: 0.1333, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8742, predictive_accuracy: 0.8667, prior_entropy: 0.4254, recall: 0.8667, relative_absolute_error: 0.8486, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.3651, root_relative_squared_error: 1.308,
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: 0.4715, 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: 0.723, f_measure: 0.8917, kappa: 0.2557, kb_relative_information_score: -11.6468, mean_absolute_error: 0.1214, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8855, predictive_accuracy: 0.9, prior_entropy: 0.4254, recall: 0.9, relative_absolute_error: 0.7725, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.299, root_relative_squared_error: 1.0712,
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: 0.6809, 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: 0.6683, 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: 0.7284, 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: 0.7925, 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: 0.6073, 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: 0.6809, 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: 0.7018, f_measure: 0.8749, kappa: 0.0973, kb_relative_information_score: -134.8114, mean_absolute_error: 0.1465, mean_prior_absolute_error: 0.1571, number_of_instances: 540, precision: 0.8618, predictive_accuracy: 0.8926, prior_entropy: 0.4254, recall: 0.8926, relative_absolute_error: 0.9326, root_mean_prior_squared_error: 0.2792, root_mean_squared_error: 0.2858, root_relative_squared_error: 1.0239,
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

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

OpenML APIs