Task
Supervised Classification on OVA_Breast

Supervised Classification on OVA_Breast

Task 3962 Supervised Classification OVA_Breast 198 runs submitted
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  • mythbusting_1 slow study_123 study_15 study_20 under100k
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9367, kappa: 0.8139, kb_relative_information_score: 1065.5281, mean_absolute_error: 0.1059, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9368, predictive_accuracy: 0.9379, prior_entropy: 0.7656, recall: 0.9379, relative_absolute_error: 0.3057, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.5647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9487, kappa: 0.8512, kb_relative_information_score: 1211.774, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9485, predictive_accuracy: 0.9489, prior_entropy: 0.7656, recall: 0.9489, relative_absolute_error: 0.2099, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2159, root_relative_squared_error: 0.5189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8828, f_measure: 0.9248, kappa: 0.7806, kb_relative_information_score: 997.2682, mean_absolute_error: 0.1292, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9244, predictive_accuracy: 0.9256, prior_entropy: 0.7656, recall: 0.9256, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2599, root_relative_squared_error: 0.6247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9702, kappa: 0.9138, kb_relative_information_score: 1391.7611, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9702, predictive_accuracy: 0.9702, prior_entropy: 0.7656, recall: 0.9702, relative_absolute_error: 0.086, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.4148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.94, kappa: 0.827, kb_relative_information_score: 1229.4334, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9401, predictive_accuracy: 0.9398, prior_entropy: 0.7656, recall: 0.9398, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2435, root_relative_squared_error: 0.5854, scimark_benchmark: 1150.4212, usercpu_time_millis: 21020, usercpu_time_millis_testing: 90, usercpu_time_millis_training: 20930,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.68, kb_relative_information_score: 2.0583, mean_absolute_error: 0.3458, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.6043, predictive_accuracy: 0.7773, prior_entropy: 0.7656, recall: 0.7773, relative_absolute_error: 0.9984, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.416, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.9607, kappa: 0.8854, kb_relative_information_score: 1113.745, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9608, predictive_accuracy: 0.9612, prior_entropy: 0.7656, recall: 0.9612, relative_absolute_error: 0.307, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2011, root_relative_squared_error: 0.4834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.9321, kappa: 0.8039, kb_relative_information_score: 1196.8867, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9321, predictive_accuracy: 0.932, prior_entropy: 0.7656, recall: 0.932, relative_absolute_error: 0.1962, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.6266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9721, kappa: 0.9192, kb_relative_information_score: 1401.67, mean_absolute_error: 0.0278, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9721, predictive_accuracy: 0.9722, prior_entropy: 0.7656, recall: 0.9722, relative_absolute_error: 0.0804, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5019, f_measure: 0.68, kb_relative_information_score: -57.638, mean_absolute_error: 0.3509, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.6043, predictive_accuracy: 0.7773, prior_entropy: 0.7656, recall: 0.7773, relative_absolute_error: 1.013, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4161, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.9337, kappa: 0.8114, kb_relative_information_score: 1194.3921, mean_absolute_error: 0.0681, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9356, predictive_accuracy: 0.9327, prior_entropy: 0.7656, recall: 0.9327, relative_absolute_error: 0.1965, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2559, root_relative_squared_error: 0.6151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.9332, kappa: 0.8087, kb_relative_information_score: 1193.682, mean_absolute_error: 0.0695, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.934, predictive_accuracy: 0.9327, prior_entropy: 0.7656, recall: 0.9327, relative_absolute_error: 0.2008, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2572, root_relative_squared_error: 0.6181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9526, f_measure: 0.9621, kappa: 0.8914, kb_relative_information_score: 1348.8227, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9626, predictive_accuracy: 0.9618, prior_entropy: 0.7656, recall: 0.9618, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9628, kappa: 0.8917, kb_relative_information_score: 1353.7035, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9628, predictive_accuracy: 0.9631, prior_entropy: 0.7656, recall: 0.9631, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.45,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5049, f_measure: 0.68, kb_relative_information_score: -292.4871, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.6043, predictive_accuracy: 0.7773, prior_entropy: 0.7656, recall: 0.7773, relative_absolute_error: 1.0712, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4221, root_relative_squared_error: 1.0147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8932, f_measure: 0.9335, kappa: 0.8032, kb_relative_information_score: 1216.7928, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9344, predictive_accuracy: 0.9353, prior_entropy: 0.7656, recall: 0.9353, relative_absolute_error: 0.1849, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4981, f_measure: 0.68, kb_relative_information_score: -116.121, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.6043, predictive_accuracy: 0.7773, prior_entropy: 0.7656, recall: 0.7773, relative_absolute_error: 1.0266, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4164, root_relative_squared_error: 1.0008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0811, kb_relative_information_score: -1303.8126, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.0496, predictive_accuracy: 0.2227, prior_entropy: 0.7656, recall: 0.2227, relative_absolute_error: 1.4436, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.5, root_relative_squared_error: 1.2018,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.9492, kappa: 0.8523, kb_relative_information_score: 1192.0421, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.949, predictive_accuracy: 0.9495, prior_entropy: 0.7656, recall: 0.9495, relative_absolute_error: 0.2349, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2154, root_relative_squared_error: 0.5178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5028, f_measure: 0.68, kb_relative_information_score: -192.9769, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.6043, predictive_accuracy: 0.7773, prior_entropy: 0.7656, recall: 0.7773, relative_absolute_error: 1.0459, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4179, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9636, kappa: 0.8944, kb_relative_information_score: 1342.8339, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9635, predictive_accuracy: 0.9638, prior_entropy: 0.7656, recall: 0.9638, relative_absolute_error: 0.1231, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1792, root_relative_squared_error: 0.4308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.9338, kappa: 0.8081, kb_relative_information_score: 1199.8267, mean_absolute_error: 0.0682, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9336, predictive_accuracy: 0.934, prior_entropy: 0.7656, recall: 0.934, relative_absolute_error: 0.1969, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.254, root_relative_squared_error: 0.6106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9416, f_measure: 0.9287, kappa: 0.7977, kb_relative_information_score: 1038.1381, mean_absolute_error: 0.1166, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.931, predictive_accuracy: 0.9275, prior_entropy: 0.7656, recall: 0.9275, relative_absolute_error: 0.3365, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.9652, kappa: 0.8999, kb_relative_information_score: 1365.0392, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9654, predictive_accuracy: 0.965, prior_entropy: 0.7656, recall: 0.965, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.187, root_relative_squared_error: 0.4494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9674, kappa: 0.9049, kb_relative_information_score: 1245.7886, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9674, predictive_accuracy: 0.9676, prior_entropy: 0.7656, recall: 0.9676, relative_absolute_error: 0.2068, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.4297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.9609, kappa: 0.8862, kb_relative_information_score: 1217.2826, mean_absolute_error: 0.0775, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9608, predictive_accuracy: 0.9612, prior_entropy: 0.7656, recall: 0.9612, relative_absolute_error: 0.2236, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.4432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9569, kappa: 0.8742, kb_relative_information_score: 1313.0238, mean_absolute_error: 0.0471, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9568, predictive_accuracy: 0.9573, prior_entropy: 0.7656, recall: 0.9573, relative_absolute_error: 0.1359, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.9668, kappa: 0.9033, kb_relative_information_score: 1381.6588, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9667, predictive_accuracy: 0.967, prior_entropy: 0.7656, recall: 0.967, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.4173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9513, kappa: 0.8587, kb_relative_information_score: 1115.7595, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9512, predictive_accuracy: 0.9515, prior_entropy: 0.7656, recall: 0.9515, relative_absolute_error: 0.2845, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.215, root_relative_squared_error: 0.5167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.9424, kappa: 0.832, kb_relative_information_score: 1172.6309, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9423, predictive_accuracy: 0.943, prior_entropy: 0.7656, recall: 0.943, relative_absolute_error: 0.2421, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.5637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9649, kappa: 0.898, kb_relative_information_score: 1357.9906, mean_absolute_error: 0.0369, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9648, predictive_accuracy: 0.965, prior_entropy: 0.7656, recall: 0.965, relative_absolute_error: 0.1064, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.185, root_relative_squared_error: 0.4446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9501, f_measure: 0.9675, kappa: 0.9059, kb_relative_information_score: 1378.5493, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.7656, recall: 0.9676, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.4324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.9612, kappa: 0.8883, kb_relative_information_score: 1286.1577, mean_absolute_error: 0.0567, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9613, predictive_accuracy: 0.9612, prior_entropy: 0.7656, recall: 0.9612, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1838, root_relative_squared_error: 0.4418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8524, f_measure: 0.9198, kappa: 0.7669, kb_relative_information_score: 1113.0164, mean_absolute_error: 0.0888, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9195, predictive_accuracy: 0.9204, prior_entropy: 0.7656, recall: 0.9204, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2715, root_relative_squared_error: 0.6525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9686, kappa: 0.9085, kb_relative_information_score: 1200.7075, mean_absolute_error: 0.09, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9687, predictive_accuracy: 0.9689, prior_entropy: 0.7656, recall: 0.9689, relative_absolute_error: 0.2599, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.968, kappa: 0.9067, kb_relative_information_score: 1190.6408, mean_absolute_error: 0.0933, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.968, predictive_accuracy: 0.9683, prior_entropy: 0.7656, recall: 0.9683, relative_absolute_error: 0.2693, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1741, root_relative_squared_error: 0.4185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.9667, kappa: 0.9027, kb_relative_information_score: 1178.1612, mean_absolute_error: 0.0972, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9667, predictive_accuracy: 0.967, prior_entropy: 0.7656, recall: 0.967, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1764, root_relative_squared_error: 0.4239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.966, kappa: 0.9007, kb_relative_information_score: 1164.894, mean_absolute_error: 0.1008, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9661, predictive_accuracy: 0.9663, prior_entropy: 0.7656, recall: 0.9663, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1782, root_relative_squared_error: 0.4282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.9563, kappa: 0.8713, kb_relative_information_score: 1015.2792, mean_absolute_error: 0.1384, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9573, predictive_accuracy: 0.9573, prior_entropy: 0.7656, recall: 0.9573, relative_absolute_error: 0.3996, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.5108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9792, f_measure: 0.9652, kappa: 0.898, kb_relative_information_score: 1138.6825, mean_absolute_error: 0.108, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9655, predictive_accuracy: 0.9657, prior_entropy: 0.7656, recall: 0.9657, relative_absolute_error: 0.3118, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.4403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9666, kappa: 0.9023, kb_relative_information_score: 1116.0476, mean_absolute_error: 0.1142, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9668, predictive_accuracy: 0.967, prior_entropy: 0.7656, recall: 0.967, relative_absolute_error: 0.3297, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.4509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.9619, kappa: 0.8883, kb_relative_information_score: 1093.9922, mean_absolute_error: 0.1203, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9622, predictive_accuracy: 0.9625, prior_entropy: 0.7656, recall: 0.9625, relative_absolute_error: 0.3473, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.193, root_relative_squared_error: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.9625, kappa: 0.892, kb_relative_information_score: 1290.9658, mean_absolute_error: 0.0562, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9626, predictive_accuracy: 0.9625, prior_entropy: 0.7656, recall: 0.9625, relative_absolute_error: 0.1621, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1794, root_relative_squared_error: 0.4311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.9625, kappa: 0.8918, kb_relative_information_score: 1275.9295, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9625, predictive_accuracy: 0.9625, prior_entropy: 0.7656, recall: 0.9625, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.4362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.9588, kappa: 0.8798, kb_relative_information_score: 1201.0454, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9588, predictive_accuracy: 0.9592, prior_entropy: 0.7656, recall: 0.9592, relative_absolute_error: 0.2429, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1813, root_relative_squared_error: 0.4357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9696, f_measure: 0.9584, kappa: 0.8775, kb_relative_information_score: 1046.0754, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9592, predictive_accuracy: 0.9592, prior_entropy: 0.7656, recall: 0.9592, relative_absolute_error: 0.3554, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.5156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9592, kappa: 0.8823, kb_relative_information_score: 1264.4993, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9593, predictive_accuracy: 0.9592, prior_entropy: 0.7656, recall: 0.9592, relative_absolute_error: 0.1831, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.4412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.9624, kappa: 0.8896, kb_relative_information_score: 1073.4361, mean_absolute_error: 0.1257, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.7656, recall: 0.9631, relative_absolute_error: 0.3629, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.978, f_measure: 0.9583, kappa: 0.877, kb_relative_information_score: 1039.3988, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9594, predictive_accuracy: 0.9592, prior_entropy: 0.7656, recall: 0.9592, relative_absolute_error: 0.3908, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2041, root_relative_squared_error: 0.4907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.68, kb_relative_information_score: -0.9387, mean_absolute_error: 0.3464, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.6043, predictive_accuracy: 0.7773, prior_entropy: 0.7656, recall: 0.7773, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.416, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.9394, kappa: 0.8237, kb_relative_information_score: 1174.2933, mean_absolute_error: 0.0801, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9392, predictive_accuracy: 0.9398, prior_entropy: 0.7656, recall: 0.9398, relative_absolute_error: 0.2311, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2151, root_relative_squared_error: 0.5171,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.9535, kappa: 0.8626, kb_relative_information_score: 1001.6085, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9549, predictive_accuracy: 0.9547, prior_entropy: 0.7656, recall: 0.9547, relative_absolute_error: 0.417, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2134, root_relative_squared_error: 0.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9761, f_measure: 0.9498, kappa: 0.851, kb_relative_information_score: 957.3386, mean_absolute_error: 0.1551, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9522, predictive_accuracy: 0.9515, prior_entropy: 0.7656, recall: 0.9515, relative_absolute_error: 0.4477, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.5387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.8697, kappa: 0.6246, kb_relative_information_score: 876.5, mean_absolute_error: 0.1307, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.8701, predictive_accuracy: 0.8693, prior_entropy: 0.7656, recall: 0.8693, relative_absolute_error: 0.3775, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3616, root_relative_squared_error: 0.8691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9444, kappa: 0.8347, kb_relative_information_score: 932.7119, mean_absolute_error: 0.1621, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9468, predictive_accuracy: 0.9463, prior_entropy: 0.7656, recall: 0.9463, relative_absolute_error: 0.4679, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.23, root_relative_squared_error: 0.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.929, kappa: 0.7865, kb_relative_information_score: 865.1989, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9349, predictive_accuracy: 0.9327, prior_entropy: 0.7656, recall: 0.9327, relative_absolute_error: 0.5159, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2451, root_relative_squared_error: 0.5891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.924, kappa: 0.7796, kb_relative_information_score: 991.7363, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9238, predictive_accuracy: 0.9243, prior_entropy: 0.7656, recall: 0.9243, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.924, kappa: 0.7796, kb_relative_information_score: 991.7363, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9238, predictive_accuracy: 0.9243, prior_entropy: 0.7656, recall: 0.9243, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.924, kappa: 0.7796, kb_relative_information_score: 991.7363, mean_absolute_error: 0.1297, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9238, predictive_accuracy: 0.9243, prior_entropy: 0.7656, recall: 0.9243, relative_absolute_error: 0.3744, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2608, root_relative_squared_error: 0.6268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9031, f_measure: 0.9264, kappa: 0.7828, kb_relative_information_score: 1031.5744, mean_absolute_error: 0.1185, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9267, predictive_accuracy: 0.9282, prior_entropy: 0.7656, recall: 0.9282, relative_absolute_error: 0.3422, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2506, root_relative_squared_error: 0.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.9303, kappa: 0.7976, kb_relative_information_score: 1067.3566, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9301, predictive_accuracy: 0.9307, prior_entropy: 0.7656, recall: 0.9307, relative_absolute_error: 0.3174, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.9299, kappa: 0.7968, kb_relative_information_score: 1153.5272, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9297, predictive_accuracy: 0.9301, prior_entropy: 0.7656, recall: 0.9301, relative_absolute_error: 0.2287, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2447, root_relative_squared_error: 0.5883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.943, kappa: 0.8337, kb_relative_information_score: 1140.7573, mean_absolute_error: 0.0939, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9429, predictive_accuracy: 0.9437, prior_entropy: 0.7656, recall: 0.9437, relative_absolute_error: 0.2711, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2223, root_relative_squared_error: 0.5344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.9397, kappa: 0.8236, kb_relative_information_score: 1142.1792, mean_absolute_error: 0.0917, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9395, predictive_accuracy: 0.9405, prior_entropy: 0.7656, recall: 0.9405, relative_absolute_error: 0.2648, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2287, root_relative_squared_error: 0.5497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.9466, kappa: 0.8447, kb_relative_information_score: 1171.4433, mean_absolute_error: 0.0867, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9464, predictive_accuracy: 0.9469, prior_entropy: 0.7656, recall: 0.9469, relative_absolute_error: 0.2502, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2188, root_relative_squared_error: 0.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.9403, kappa: 0.8273, kb_relative_information_score: 1163.1231, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9402, predictive_accuracy: 0.9405, prior_entropy: 0.7656, recall: 0.9405, relative_absolute_error: 0.2473, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2254, root_relative_squared_error: 0.5418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9584, f_measure: 0.9709, kappa: 0.9159, kb_relative_information_score: 1395.064, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9709, predictive_accuracy: 0.9709, prior_entropy: 0.7656, recall: 0.9709, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9433, f_measure: 0.942, kappa: 0.8331, kb_relative_information_score: 1200.324, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9423, predictive_accuracy: 0.9417, prior_entropy: 0.7656, recall: 0.9417, relative_absolute_error: 0.2157, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2211, root_relative_squared_error: 0.5315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9372, f_measure: 0.9412, kappa: 0.8304, kb_relative_information_score: 1204.7645, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9413, predictive_accuracy: 0.9411, prior_entropy: 0.7656, recall: 0.9411, relative_absolute_error: 0.2061, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.5522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.9347, kappa: 0.8113, kb_relative_information_score: 1163.6093, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9347, predictive_accuracy: 0.9346, prior_entropy: 0.7656, recall: 0.9346, relative_absolute_error: 0.222, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.5652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.9325, kappa: 0.8047, kb_relative_information_score: 1190.0171, mean_absolute_error: 0.0718, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9324, predictive_accuracy: 0.9327, prior_entropy: 0.7656, recall: 0.9327, relative_absolute_error: 0.2072, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2453, root_relative_squared_error: 0.5897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.8633, kappa: 0.6014, kb_relative_information_score: 853.3793, mean_absolute_error: 0.1353, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.8623, predictive_accuracy: 0.8647, prior_entropy: 0.7656, recall: 0.8647, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.8841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9509, f_measure: 0.9464, kappa: 0.8434, kb_relative_information_score: 1259.1053, mean_absolute_error: 0.0564, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9462, predictive_accuracy: 0.9469, prior_entropy: 0.7656, recall: 0.9469, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2225, root_relative_squared_error: 0.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9682, f_measure: 0.9539, kappa: 0.8681, kb_relative_information_score: 1296.518, mean_absolute_error: 0.0484, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9547, predictive_accuracy: 0.9534, prior_entropy: 0.7656, recall: 0.9534, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2039, root_relative_squared_error: 0.4901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.963, kappa: 0.8931, kb_relative_information_score: 1358.908, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.963, predictive_accuracy: 0.9631, prior_entropy: 0.7656, recall: 0.9631, relative_absolute_error: 0.1043, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.4438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9099, f_measure: 0.9324, kappa: 0.8055, kb_relative_information_score: 1190.1652, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9327, predictive_accuracy: 0.932, prior_entropy: 0.7656, recall: 0.932, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2519, root_relative_squared_error: 0.6055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9001, f_measure: 0.9305, kappa: 0.8001, kb_relative_information_score: 1175.7759, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9309, predictive_accuracy: 0.9301, prior_entropy: 0.7656, recall: 0.9301, relative_absolute_error: 0.2142, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.6199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9333, f_measure: 0.9558, kappa: 0.8721, kb_relative_information_score: 1317.1891, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9558, predictive_accuracy: 0.956, prior_entropy: 0.7656, recall: 0.956, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2096, root_relative_squared_error: 0.5039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9011, f_measure: 0.9302, kappa: 0.7989, kb_relative_information_score: 1185.1791, mean_absolute_error: 0.0705, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9304, predictive_accuracy: 0.9301, prior_entropy: 0.7656, recall: 0.9301, relative_absolute_error: 0.2036, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2642, root_relative_squared_error: 0.6351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9148, kappa: 0.7413, kb_relative_information_score: 776.1179, mean_absolute_error: 0.199, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9241, predictive_accuracy: 0.9204, prior_entropy: 0.7656, recall: 0.9204, relative_absolute_error: 0.5744, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2632, root_relative_squared_error: 0.6327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9514, kappa: 0.8562, kb_relative_information_score: 991.1342, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.953, predictive_accuracy: 0.9528, prior_entropy: 0.7656, recall: 0.9528, relative_absolute_error: 0.4285, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2142, root_relative_squared_error: 0.5148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9421, kappa: 0.8381, kb_relative_information_score: 1239.4288, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9472, predictive_accuracy: 0.9405, prior_entropy: 0.7656, recall: 0.9405, relative_absolute_error: 0.1723, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2434, root_relative_squared_error: 0.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9707, kappa: 0.9149, kb_relative_information_score: 1395.064, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9707, predictive_accuracy: 0.9709, prior_entropy: 0.7656, recall: 0.9709, relative_absolute_error: 0.0841, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1707, root_relative_squared_error: 0.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9612, f_measure: 0.9681, kappa: 0.9073, kb_relative_information_score: 1372.2988, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9681, predictive_accuracy: 0.9683, prior_entropy: 0.7656, recall: 0.9683, relative_absolute_error: 0.0989, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9519, kappa: 0.859, kb_relative_information_score: 983.0641, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9523, predictive_accuracy: 0.9528, prior_entropy: 0.7656, recall: 0.9528, relative_absolute_error: 0.3973, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.5427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.92, f_measure: 0.9429, kappa: 0.833, kb_relative_information_score: 1163.28, mean_absolute_error: 0.0877, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9429, predictive_accuracy: 0.9437, prior_entropy: 0.7656, recall: 0.9437, relative_absolute_error: 0.2532, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2258, root_relative_squared_error: 0.5427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9464, f_measure: 0.9619, kappa: 0.89, kb_relative_information_score: 1348.8227, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9619, predictive_accuracy: 0.9618, prior_entropy: 0.7656, recall: 0.9618, relative_absolute_error: 0.1103, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9681, kappa: 0.9073, kb_relative_information_score: 1368.1941, mean_absolute_error: 0.0355, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9681, predictive_accuracy: 0.9683, prior_entropy: 0.7656, recall: 0.9683, relative_absolute_error: 0.1024, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.9283, kappa: 0.7953, kb_relative_information_score: 1017.2571, mean_absolute_error: 0.123, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9296, predictive_accuracy: 0.9275, prior_entropy: 0.7656, recall: 0.9275, relative_absolute_error: 0.3551, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.5858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.7755, kappa: 0.292, kb_relative_information_score: -1281.2263, mean_absolute_error: 0.4962, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.8508, predictive_accuracy: 0.8233, prior_entropy: 0.7656, recall: 0.8233, relative_absolute_error: 1.4325, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4962, root_relative_squared_error: 1.1927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9602, kappa: 0.8844, kb_relative_information_score: 1232.6034, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9602, predictive_accuracy: 0.9605, prior_entropy: 0.7656, recall: 0.9605, relative_absolute_error: 0.2096, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9558, kappa: 0.8718, kb_relative_information_score: 1240.1519, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9557, predictive_accuracy: 0.956, prior_entropy: 0.7656, recall: 0.956, relative_absolute_error: 0.1929, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9078, f_measure: 0.9259, kappa: 0.7914, kb_relative_information_score: 1006.7579, mean_absolute_error: 0.1237, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9297, predictive_accuracy: 0.9243, prior_entropy: 0.7656, recall: 0.9243, relative_absolute_error: 0.3572, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2538, root_relative_squared_error: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9403, f_measure: 0.9103, kappa: 0.7398, kb_relative_information_score: 875.8907, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.91, predictive_accuracy: 0.9107, prior_entropy: 0.7656, recall: 0.9107, relative_absolute_error: 0.4282, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.255, root_relative_squared_error: 0.6128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9212, f_measure: 0.9371, kappa: 0.8198, kb_relative_information_score: 1218.5742, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9379, predictive_accuracy: 0.9366, prior_entropy: 0.7656, recall: 0.9366, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2507, root_relative_squared_error: 0.6026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.961, f_measure: 0.9686, kappa: 0.9085, kb_relative_information_score: 1325.527, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9687, predictive_accuracy: 0.9689, prior_entropy: 0.7656, recall: 0.9689, relative_absolute_error: 0.128, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.178, root_relative_squared_error: 0.4279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.0811, kb_relative_information_score: -2423.1525, mean_absolute_error: 0.7773, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.0496, predictive_accuracy: 0.2227, prior_entropy: 0.7656, recall: 0.2227, relative_absolute_error: 2.2444, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.8817, root_relative_squared_error: 2.1193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.929, f_measure: 0.9569, kappa: 0.8742, kb_relative_information_score: 1325.702, mean_absolute_error: 0.0427, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.9568, predictive_accuracy: 0.9573, prior_entropy: 0.7656, recall: 0.9573, relative_absolute_error: 0.1233, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.2067, root_relative_squared_error: 0.4968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.68, kb_relative_information_score: 407.4804, mean_absolute_error: 0.2227, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.6043, predictive_accuracy: 0.7773, prior_entropy: 0.7656, recall: 0.7773, relative_absolute_error: 0.6428, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.1342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9019, f_measure: 0.8007, kappa: 0.3724, kb_relative_information_score: -1288.2736, mean_absolute_error: 0.4974, mean_prior_absolute_error: 0.3464, number_of_instances: 1545, precision: 0.8622, predictive_accuracy: 0.8382, prior_entropy: 0.7656, recall: 0.8382, relative_absolute_error: 1.4359, root_mean_prior_squared_error: 0.416, root_mean_squared_error: 0.4974, root_relative_squared_error: 1.1955,

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