OpenML
Supervised Classification on semeion

Supervised Classification on semeion

Task 9964 Supervised Classification semeion 20292 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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20292 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.8896, kappa: 0.8779, kb_relative_information_score: 1198.7194, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8911, predictive_accuracy: 0.8901, prior_entropy: 3.3218, recall: 0.8901, relative_absolute_error: 0.4048, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8082, kappa: 0.7893, kb_relative_information_score: 1096.9323, mean_absolute_error: 0.0852, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8115, predictive_accuracy: 0.8104, prior_entropy: 3.3218, recall: 0.8104, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.181, root_relative_squared_error: 0.6033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.8897, kappa: 0.8779, kb_relative_information_score: 1065.9289, mean_absolute_error: 0.0965, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8918, predictive_accuracy: 0.8901, prior_entropy: 3.3218, recall: 0.8901, relative_absolute_error: 0.536, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1826, root_relative_squared_error: 0.6087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.8443, kappa: 0.8284, kb_relative_information_score: 1172.9048, mean_absolute_error: 0.0739, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8455, predictive_accuracy: 0.8456, prior_entropy: 3.3218, recall: 0.8456, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.166, root_relative_squared_error: 0.5535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9765, f_measure: 0.806, kappa: 0.7858, kb_relative_information_score: 1150.4965, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8084, predictive_accuracy: 0.8073, prior_entropy: 3.3218, recall: 0.8073, relative_absolute_error: 0.4192, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.5779,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9794, f_measure: 0.8137, kappa: 0.7942, kb_relative_information_score: 1118.8915, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8168, predictive_accuracy: 0.8148, prior_entropy: 3.3218, recall: 0.8148, relative_absolute_error: 0.4579, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9107, kappa: 0.901, kb_relative_information_score: 1149.2419, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9124, predictive_accuracy: 0.9109, prior_entropy: 3.3218, recall: 0.9109, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.5528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.8613, kappa: 0.8465, kb_relative_information_score: 1240.9576, mean_absolute_error: 0.0623, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8627, predictive_accuracy: 0.8619, prior_entropy: 3.3218, recall: 0.8619, relative_absolute_error: 0.3459, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.154, root_relative_squared_error: 0.5134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.8789, kappa: 0.8661, kb_relative_information_score: 1159.6417, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8805, predictive_accuracy: 0.8795, prior_entropy: 3.3218, recall: 0.8795, relative_absolute_error: 0.4436, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.5558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9777, f_measure: 0.8075, kappa: 0.7886, kb_relative_information_score: 1105.68, mean_absolute_error: 0.0832, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8106, predictive_accuracy: 0.8098, prior_entropy: 3.3218, recall: 0.8098, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1799, root_relative_squared_error: 0.5995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.8912, kappa: 0.8793, kb_relative_information_score: 1311.5781, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8913, predictive_accuracy: 0.8914, prior_entropy: 3.3218, recall: 0.8914, relative_absolute_error: 0.2809, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.972, f_measure: 0.7676, kappa: 0.744, kb_relative_information_score: 1105.4996, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7704, predictive_accuracy: 0.7696, prior_entropy: 3.3218, recall: 0.7696, relative_absolute_error: 0.4545, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.6118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.7016, kappa: 0.67, kb_relative_information_score: 1082.5352, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7065, predictive_accuracy: 0.7031, prior_entropy: 3.3218, recall: 0.7031, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1979, root_relative_squared_error: 0.6596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8563, kappa: 0.8396, kb_relative_information_score: 548.1376, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.866, predictive_accuracy: 0.8556, prior_entropy: 3.3218, recall: 0.8556, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2591, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.786, kappa: 0.7649, kb_relative_information_score: 1054.713, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.791, predictive_accuracy: 0.7884, prior_entropy: 3.3218, recall: 0.7884, relative_absolute_error: 0.5027, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.6304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.8943, kappa: 0.8828, kb_relative_information_score: 1205.0453, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8957, predictive_accuracy: 0.8945, prior_entropy: 3.3218, recall: 0.8945, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1567, root_relative_squared_error: 0.5225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9764, f_measure: 0.8003, kappa: 0.781, kb_relative_information_score: 1096.9194, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8038, predictive_accuracy: 0.8029, prior_entropy: 3.3218, recall: 0.8029, relative_absolute_error: 0.4684, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.6051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9811, f_measure: 0.8147, kappa: 0.7956, kb_relative_information_score: 1109.4498, mean_absolute_error: 0.0846, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8173, predictive_accuracy: 0.8161, prior_entropy: 3.3218, recall: 0.8161, relative_absolute_error: 0.47, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.5958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8353, kappa: 0.8186, kb_relative_information_score: 1119.7389, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8376, predictive_accuracy: 0.8368, prior_entropy: 3.3218, recall: 0.8368, relative_absolute_error: 0.4626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1758, root_relative_squared_error: 0.5859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.8832, kappa: 0.871, kb_relative_information_score: 1086.9697, mean_absolute_error: 0.0932, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8863, predictive_accuracy: 0.8839, prior_entropy: 3.3218, recall: 0.8839, relative_absolute_error: 0.5178, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1797, root_relative_squared_error: 0.599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9756, f_measure: 0.7979, kappa: 0.7782, kb_relative_information_score: 1084.8713, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8013, predictive_accuracy: 0.8004, prior_entropy: 3.3218, recall: 0.8004, relative_absolute_error: 0.479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.6124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9795, f_measure: 0.8207, kappa: 0.8026, kb_relative_information_score: 1144.0885, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.823, predictive_accuracy: 0.8223, prior_entropy: 3.3218, recall: 0.8223, relative_absolute_error: 0.4284, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1728, root_relative_squared_error: 0.5761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8197, kappa: 0.8012, kb_relative_information_score: 1152.1057, mean_absolute_error: 0.0762, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8214, predictive_accuracy: 0.8211, prior_entropy: 3.3218, recall: 0.8211, relative_absolute_error: 0.4232, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1719, root_relative_squared_error: 0.5729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8477, kappa: 0.8319, kb_relative_information_score: 1197.61, mean_absolute_error: 0.0691, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8493, predictive_accuracy: 0.8487, prior_entropy: 3.3218, recall: 0.8487, relative_absolute_error: 0.3839, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1621, root_relative_squared_error: 0.5402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9847, f_measure: 0.8463, kappa: 0.8305, kb_relative_information_score: 1117.3402, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8488, predictive_accuracy: 0.8475, prior_entropy: 3.3218, recall: 0.8475, relative_absolute_error: 0.4689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.5853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9841, f_measure: 0.8442, kappa: 0.8284, kb_relative_information_score: 1110.1066, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.846, predictive_accuracy: 0.8456, prior_entropy: 3.3218, recall: 0.8456, relative_absolute_error: 0.4764, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.5888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.8772, kappa: 0.864, kb_relative_information_score: 1217.8565, mean_absolute_error: 0.0687, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8788, predictive_accuracy: 0.8776, prior_entropy: 3.3218, recall: 0.8776, relative_absolute_error: 0.3817, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9867, f_measure: 0.8569, kappa: 0.8417, kb_relative_information_score: 1121.46, mean_absolute_error: 0.0853, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8598, predictive_accuracy: 0.8575, prior_entropy: 3.3218, recall: 0.8575, relative_absolute_error: 0.4741, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1744, root_relative_squared_error: 0.5814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9659, f_measure: 0.7496, kappa: 0.7245, kb_relative_information_score: 1076.3409, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7565, predictive_accuracy: 0.752, prior_entropy: 3.3218, recall: 0.752, relative_absolute_error: 0.4757, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1881, root_relative_squared_error: 0.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9291, kappa: 0.9212, kb_relative_information_score: 1153.1823, mean_absolute_error: 0.0842, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9298, predictive_accuracy: 0.9291, prior_entropy: 3.3218, recall: 0.9291, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1643, root_relative_squared_error: 0.5476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9664, f_measure: 0.7448, kappa: 0.7189, kb_relative_information_score: 1087.0398, mean_absolute_error: 0.0818, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7474, predictive_accuracy: 0.747, prior_entropy: 3.3218, recall: 0.747, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1884, root_relative_squared_error: 0.628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.8663, kappa: 0.8521, kb_relative_information_score: 1219.4894, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8674, predictive_accuracy: 0.8669, prior_entropy: 3.3218, recall: 0.8669, relative_absolute_error: 0.3734, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.156, root_relative_squared_error: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9822, f_measure: 0.8274, kappa: 0.8096, kb_relative_information_score: 1228.2162, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8278, predictive_accuracy: 0.8286, prior_entropy: 3.3218, recall: 0.8286, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.5288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9181, kappa: 0.9093, kb_relative_information_score: 1128.0623, mean_absolute_error: 0.088, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9199, predictive_accuracy: 0.9184, prior_entropy: 3.3218, recall: 0.9184, relative_absolute_error: 0.4889, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1705, root_relative_squared_error: 0.5685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.8302, kappa: 0.8131, kb_relative_information_score: 1114.8868, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8326, predictive_accuracy: 0.8318, prior_entropy: 3.3218, recall: 0.8318, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1767, root_relative_squared_error: 0.5889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.8799, kappa: 0.8668, kb_relative_information_score: 1172.7705, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.883, predictive_accuracy: 0.8801, prior_entropy: 3.3218, recall: 0.8801, relative_absolute_error: 0.4269, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1636, root_relative_squared_error: 0.5453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.7207, kappa: 0.6924, kb_relative_information_score: 1072.9522, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7232, predictive_accuracy: 0.7232, prior_entropy: 3.3218, recall: 0.7232, relative_absolute_error: 0.4568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.6441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.793, kappa: 0.7726, kb_relative_information_score: 1086.8379, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7953, predictive_accuracy: 0.7954, prior_entropy: 3.3218, recall: 0.7954, relative_absolute_error: 0.4758, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.6115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9102, kappa: 0.9003, kb_relative_information_score: 1153.606, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9121, predictive_accuracy: 0.9102, prior_entropy: 3.3218, recall: 0.9102, relative_absolute_error: 0.4648, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1654, root_relative_squared_error: 0.5515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.8723, kappa: 0.8584, kb_relative_information_score: 1113.8257, mean_absolute_error: 0.0878, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8749, predictive_accuracy: 0.8726, prior_entropy: 3.3218, recall: 0.8726, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1754, root_relative_squared_error: 0.5846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.8682, kappa: 0.8542, kb_relative_information_score: 1151.5897, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.87, predictive_accuracy: 0.8688, prior_entropy: 3.3218, recall: 0.8688, relative_absolute_error: 0.4472, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1688, root_relative_squared_error: 0.5627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.8325, kappa: 0.8152, kb_relative_information_score: 1155.2841, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8341, predictive_accuracy: 0.8336, prior_entropy: 3.3218, recall: 0.8336, relative_absolute_error: 0.4297, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.5679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.8496, kappa: 0.834, kb_relative_information_score: 1246.9951, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8505, predictive_accuracy: 0.8506, prior_entropy: 3.3218, recall: 0.8506, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1532, root_relative_squared_error: 0.5107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9869, f_measure: 0.8692, kappa: 0.8556, kb_relative_information_score: 1030.2718, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8737, predictive_accuracy: 0.8701, prior_entropy: 3.3218, recall: 0.8701, relative_absolute_error: 0.559, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.6329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.7712, kappa: 0.7482, kb_relative_information_score: 1095.6829, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7737, predictive_accuracy: 0.7734, prior_entropy: 3.3218, recall: 0.7734, relative_absolute_error: 0.4578, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1844, root_relative_squared_error: 0.6146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.8224, kappa: 0.804, kb_relative_information_score: 1137.8685, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8241, predictive_accuracy: 0.8236, prior_entropy: 3.3218, recall: 0.8236, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9056, kappa: 0.8954, kb_relative_information_score: 1221.9297, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9071, predictive_accuracy: 0.9058, prior_entropy: 3.3218, recall: 0.9058, relative_absolute_error: 0.389, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1527, root_relative_squared_error: 0.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9026, kappa: 0.8919, kb_relative_information_score: 1195.5414, mean_absolute_error: 0.0749, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9043, predictive_accuracy: 0.9027, prior_entropy: 3.3218, recall: 0.9027, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1581, root_relative_squared_error: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.8138, kappa: 0.7942, kb_relative_information_score: 1234.138, mean_absolute_error: 0.0586, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8139, predictive_accuracy: 0.8148, prior_entropy: 3.3218, recall: 0.8148, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1605, root_relative_squared_error: 0.5349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.8332, kappa: 0.8158, kb_relative_information_score: 1169.3026, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.835, predictive_accuracy: 0.8343, prior_entropy: 3.3218, recall: 0.8343, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.5605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9368, f_measure: 0.6825, kappa: 0.6484, kb_relative_information_score: 1065.635, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6891, predictive_accuracy: 0.6836, prior_entropy: 3.3218, recall: 0.6836, relative_absolute_error: 0.4376, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.208, root_relative_squared_error: 0.6934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.8638, kappa: 0.8493, kb_relative_information_score: 1086.5429, mean_absolute_error: 0.092, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8654, predictive_accuracy: 0.8644, prior_entropy: 3.3218, recall: 0.8644, relative_absolute_error: 0.5111, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.6026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.919, kappa: 0.91, kb_relative_information_score: 1100.4508, mean_absolute_error: 0.0926, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9209, predictive_accuracy: 0.919, prior_entropy: 3.3218, recall: 0.919, relative_absolute_error: 0.5147, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.8892, kappa: 0.8772, kb_relative_information_score: 1211.3744, mean_absolute_error: 0.0704, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8903, predictive_accuracy: 0.8895, prior_entropy: 3.3218, recall: 0.8895, relative_absolute_error: 0.3913, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1563, root_relative_squared_error: 0.5209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.8936, kappa: 0.8821, kb_relative_information_score: 837.1702, mean_absolute_error: 0.1277, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8953, predictive_accuracy: 0.8939, prior_entropy: 3.3218, recall: 0.8939, relative_absolute_error: 0.7092, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2217, root_relative_squared_error: 0.7389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.7546, kappa: 0.73, kb_relative_information_score: 1146.8176, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7558, predictive_accuracy: 0.7571, prior_entropy: 3.3218, recall: 0.7571, relative_absolute_error: 0.3947, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.8611, kappa: 0.8465, kb_relative_information_score: 1119.4504, mean_absolute_error: 0.0856, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8645, predictive_accuracy: 0.8619, prior_entropy: 3.3218, recall: 0.8619, relative_absolute_error: 0.4755, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1739, root_relative_squared_error: 0.5797,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.7642, kappa: 0.7412, kb_relative_information_score: 1118.4074, mean_absolute_error: 0.0771, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7666, predictive_accuracy: 0.7671, prior_entropy: 3.3218, recall: 0.7671, relative_absolute_error: 0.4286, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1827, root_relative_squared_error: 0.6089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9151, kappa: 0.9058, kb_relative_information_score: 1265.5771, mean_absolute_error: 0.0624, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9159, predictive_accuracy: 0.9153, prior_entropy: 3.3218, recall: 0.9153, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.143, root_relative_squared_error: 0.4766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9304, kappa: 0.9226, kb_relative_information_score: 1291.7135, mean_absolute_error: 0.0589, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.931, predictive_accuracy: 0.9303, prior_entropy: 3.3218, recall: 0.9303, relative_absolute_error: 0.3271, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1348, root_relative_squared_error: 0.4494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.8683, kappa: 0.8542, kb_relative_information_score: 1120.4921, mean_absolute_error: 0.086, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8699, predictive_accuracy: 0.8688, prior_entropy: 3.3218, recall: 0.8688, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.5818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.8018, kappa: 0.7824, kb_relative_information_score: 1156.374, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8041, predictive_accuracy: 0.8041, prior_entropy: 3.3218, recall: 0.8041, relative_absolute_error: 0.4082, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.5756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.8872, kappa: 0.8751, kb_relative_information_score: 1080.3379, mean_absolute_error: 0.094, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.89, predictive_accuracy: 0.8876, prior_entropy: 3.3218, recall: 0.8876, relative_absolute_error: 0.522, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1798, root_relative_squared_error: 0.5994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9023, kappa: 0.8919, kb_relative_information_score: 1147.5995, mean_absolute_error: 0.0841, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.904, predictive_accuracy: 0.9027, prior_entropy: 3.3218, recall: 0.9027, relative_absolute_error: 0.4671, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1675, root_relative_squared_error: 0.5582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.8802, kappa: 0.8675, kb_relative_information_score: 1067.0266, mean_absolute_error: 0.0963, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8837, predictive_accuracy: 0.8807, prior_entropy: 3.3218, recall: 0.8807, relative_absolute_error: 0.5352, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1836, root_relative_squared_error: 0.6119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.8848, kappa: 0.8724, kb_relative_information_score: 1057.0542, mean_absolute_error: 0.0971, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8884, predictive_accuracy: 0.8851, prior_entropy: 3.3218, recall: 0.8851, relative_absolute_error: 0.5395, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.6158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.8127, kappa: 0.7942, kb_relative_information_score: 1099.1145, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8161, predictive_accuracy: 0.8148, prior_entropy: 3.3218, recall: 0.8148, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.6025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.8676, kappa: 0.8535, kb_relative_information_score: 1173.1103, mean_absolute_error: 0.0759, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8695, predictive_accuracy: 0.8682, prior_entropy: 3.3218, recall: 0.8682, relative_absolute_error: 0.4219, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.5497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.6714, kappa: 0.6366, kb_relative_information_score: 1038.9801, mean_absolute_error: 0.0815, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.6759, predictive_accuracy: 0.6729, prior_entropy: 3.3218, recall: 0.6729, relative_absolute_error: 0.453, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.6978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9095, kappa: 0.8996, kb_relative_information_score: 1313.9066, mean_absolute_error: 0.052, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9103, predictive_accuracy: 0.9096, prior_entropy: 3.3218, recall: 0.9096, relative_absolute_error: 0.2886, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1344, root_relative_squared_error: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.7778, kappa: 0.7545, kb_relative_information_score: 1110.2999, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7802, predictive_accuracy: 0.779, prior_entropy: 3.3218, recall: 0.779, relative_absolute_error: 0.4571, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1811, root_relative_squared_error: 0.6035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9196, kappa: 0.9107, kb_relative_information_score: 997.7864, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9202, predictive_accuracy: 0.9196, prior_entropy: 3.3218, recall: 0.9196, relative_absolute_error: 0.5982, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.6489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9132, kappa: 0.9037, kb_relative_information_score: 1076.3193, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.916, predictive_accuracy: 0.9134, prior_entropy: 3.3218, recall: 0.9134, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.6024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9398, kappa: 0.933, kb_relative_information_score: 1240.9087, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9406, predictive_accuracy: 0.9397, prior_entropy: 3.3218, recall: 0.9397, relative_absolute_error: 0.3877, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.4841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.8466, kappa: 0.8305, kb_relative_information_score: 1165.8791, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8477, predictive_accuracy: 0.8475, prior_entropy: 3.3218, recall: 0.8475, relative_absolute_error: 0.4222, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.5594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.8126, kappa: 0.7928, kb_relative_information_score: 1140.2258, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8142, predictive_accuracy: 0.8136, prior_entropy: 3.3218, recall: 0.8136, relative_absolute_error: 0.4296, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1748, root_relative_squared_error: 0.5828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9557, f_measure: 0.7504, kappa: 0.7252, kb_relative_information_score: 1174.9831, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7518, predictive_accuracy: 0.7527, prior_entropy: 3.3218, recall: 0.7527, relative_absolute_error: 0.336, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.6406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.7881, kappa: 0.7663, kb_relative_information_score: 1203.6474, mean_absolute_error: 0.0626, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7888, predictive_accuracy: 0.7897, prior_entropy: 3.3218, recall: 0.7897, relative_absolute_error: 0.3479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1704, root_relative_squared_error: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8019, kappa: 0.7831, kb_relative_information_score: 1087.5816, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8053, predictive_accuracy: 0.8048, prior_entropy: 3.3218, recall: 0.8048, relative_absolute_error: 0.4786, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1831, root_relative_squared_error: 0.6102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.8435, kappa: 0.8277, kb_relative_information_score: 1172.261, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8442, predictive_accuracy: 0.8449, prior_entropy: 3.3218, recall: 0.8449, relative_absolute_error: 0.4049, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.5576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.8482, kappa: 0.8326, kb_relative_information_score: 1018.3523, mean_absolute_error: 0.1017, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8525, predictive_accuracy: 0.8493, prior_entropy: 3.3218, recall: 0.8493, relative_absolute_error: 0.5652, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9769, f_measure: 0.8046, kappa: 0.7852, kb_relative_information_score: 1059.7939, mean_absolute_error: 0.0914, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8078, predictive_accuracy: 0.8067, prior_entropy: 3.3218, recall: 0.8067, relative_absolute_error: 0.5077, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1873, root_relative_squared_error: 0.6245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.8369, kappa: 0.82, kb_relative_information_score: 1024.4774, mean_absolute_error: 0.1009, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8401, predictive_accuracy: 0.838, prior_entropy: 3.3218, recall: 0.838, relative_absolute_error: 0.5605, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.6418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9766, f_measure: 0.789, kappa: 0.7677, kb_relative_information_score: 1045.5891, mean_absolute_error: 0.0944, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7954, predictive_accuracy: 0.791, prior_entropy: 3.3218, recall: 0.791, relative_absolute_error: 0.5245, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1902, root_relative_squared_error: 0.6339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.8567, kappa: 0.8417, kb_relative_information_score: 1135.3347, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8588, predictive_accuracy: 0.8575, prior_entropy: 3.3218, recall: 0.8575, relative_absolute_error: 0.4585, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1724, root_relative_squared_error: 0.5747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9831, f_measure: 0.8423, kappa: 0.8263, kb_relative_information_score: 1158.3446, mean_absolute_error: 0.0761, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8444, predictive_accuracy: 0.8437, prior_entropy: 3.3218, recall: 0.8437, relative_absolute_error: 0.4228, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1691, root_relative_squared_error: 0.5635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.8707, kappa: 0.857, kb_relative_information_score: 1079.894, mean_absolute_error: 0.0934, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8738, predictive_accuracy: 0.8713, prior_entropy: 3.3218, recall: 0.8713, relative_absolute_error: 0.5188, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.6057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9344, kappa: 0.9268, kb_relative_information_score: 1145.4496, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9359, predictive_accuracy: 0.9341, prior_entropy: 3.3218, recall: 0.9341, relative_absolute_error: 0.4771, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1655, root_relative_squared_error: 0.5517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9828, f_measure: 0.8306, kappa: 0.8138, kb_relative_information_score: 1133.322, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8334, predictive_accuracy: 0.8324, prior_entropy: 3.3218, recall: 0.8324, relative_absolute_error: 0.446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1736, root_relative_squared_error: 0.5785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9768, f_measure: 0.7931, kappa: 0.7712, kb_relative_information_score: 1125.021, mean_absolute_error: 0.08, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7954, predictive_accuracy: 0.7941, prior_entropy: 3.3218, recall: 0.7941, relative_absolute_error: 0.4443, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1775, root_relative_squared_error: 0.5917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.8797, kappa: 0.8668, kb_relative_information_score: 1062.4955, mean_absolute_error: 0.0962, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8823, predictive_accuracy: 0.8801, prior_entropy: 3.3218, recall: 0.8801, relative_absolute_error: 0.5342, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.6122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.8699, kappa: 0.8563, kb_relative_information_score: 1130.6061, mean_absolute_error: 0.0837, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8726, predictive_accuracy: 0.8707, prior_entropy: 3.3218, recall: 0.8707, relative_absolute_error: 0.4652, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.5726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.8619, kappa: 0.8472, kb_relative_information_score: 1187.075, mean_absolute_error: 0.0734, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8637, predictive_accuracy: 0.8625, prior_entropy: 3.3218, recall: 0.8625, relative_absolute_error: 0.408, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.5416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.742, kappa: 0.7161, kb_relative_information_score: 1148.0975, mean_absolute_error: 0.0638, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.7428, predictive_accuracy: 0.7445, prior_entropy: 3.3218, recall: 0.7445, relative_absolute_error: 0.3547, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1933, root_relative_squared_error: 0.6442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.8632, kappa: 0.8486, kb_relative_information_score: 1224.7607, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8649, predictive_accuracy: 0.8638, prior_entropy: 3.3218, recall: 0.8638, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1556, root_relative_squared_error: 0.5188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.976, f_measure: 0.799, kappa: 0.7782, kb_relative_information_score: 1138.8315, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8008, predictive_accuracy: 0.8004, prior_entropy: 3.3218, recall: 0.8004, relative_absolute_error: 0.4294, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1756, root_relative_squared_error: 0.5853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9772, f_measure: 0.7965, kappa: 0.7761, kb_relative_information_score: 1035.6305, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8005, predictive_accuracy: 0.7985, prior_entropy: 3.3218, recall: 0.7985, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.191, root_relative_squared_error: 0.6367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.8213, kappa: 0.8026, kb_relative_information_score: 1131.1404, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8232, predictive_accuracy: 0.8223, prior_entropy: 3.3218, recall: 0.8223, relative_absolute_error: 0.4521, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1745, root_relative_squared_error: 0.5817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.864, kappa: 0.8493, kb_relative_information_score: 1235.551, mean_absolute_error: 0.0644, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.8654, predictive_accuracy: 0.8644, prior_entropy: 3.3218, recall: 0.8644, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.5112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9078, kappa: 0.8975, kb_relative_information_score: 1237.9949, mean_absolute_error: 0.0672, mean_prior_absolute_error: 0.18, number_of_instances: 1593, precision: 0.9089, predictive_accuracy: 0.9077, prior_entropy: 3.3218, recall: 0.9077, relative_absolute_error: 0.3736, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.498,

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