Task
Supervised Classification on mnist_784

Supervised Classification on mnist_784

Task 3573 Supervised Classification mnist_784 12578 runs submitted
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  • OpenML-CC18 OpenML100 study_1 study_123 study_41 study_99 under100k vision
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8724, kappa: 0.8583, kb_relative_information_score: 60939.7619, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8724, predictive_accuracy: 0.8725, prior_entropy: 3.3198, recall: 0.8725, relative_absolute_error: 0.1556, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1416, root_relative_squared_error: 0.4722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8802, kappa: 0.867, kb_relative_information_score: 61271.4567, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8802, predictive_accuracy: 0.8803, prior_entropy: 3.3198, recall: 0.8803, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.4553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.868, kappa: 0.8535, kb_relative_information_score: 60083.2373, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8679, predictive_accuracy: 0.8682, prior_entropy: 3.3198, recall: 0.8682, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.4681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9504, f_measure: 0.8827, kappa: 0.8698, kb_relative_information_score: 61725.3214, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8827, predictive_accuracy: 0.8829, prior_entropy: 3.3198, recall: 0.8829, relative_absolute_error: 0.138, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8711, kappa: 0.857, kb_relative_information_score: 60422.7447, mean_absolute_error: 0.031, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.871, predictive_accuracy: 0.8713, prior_entropy: 3.3198, recall: 0.8713, relative_absolute_error: 0.1724, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.14, root_relative_squared_error: 0.4666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8741, kappa: 0.8602, kb_relative_information_score: 60665.0123, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.874, predictive_accuracy: 0.8742, prior_entropy: 3.3198, recall: 0.8742, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8616, kappa: 0.8463, kb_relative_information_score: 59464.8837, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8615, predictive_accuracy: 0.8617, prior_entropy: 3.3198, recall: 0.8617, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8725, kappa: 0.8585, kb_relative_information_score: 60558.8872, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8725, predictive_accuracy: 0.8727, prior_entropy: 3.3198, recall: 0.8727, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8651, kappa: 0.8502, kb_relative_information_score: 59819.5897, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.865, predictive_accuracy: 0.8653, prior_entropy: 3.3198, recall: 0.8653, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.876, kappa: 0.8624, kb_relative_information_score: 61074.1463, mean_absolute_error: 0.028, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8759, predictive_accuracy: 0.8762, prior_entropy: 3.3198, recall: 0.8762, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8775, kappa: 0.864, kb_relative_information_score: 61039.9324, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8775, predictive_accuracy: 0.8776, prior_entropy: 3.3198, recall: 0.8776, relative_absolute_error: 0.1631, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8742, kappa: 0.8603, kb_relative_information_score: 60665.3061, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8741, predictive_accuracy: 0.8743, prior_entropy: 3.3198, recall: 0.8743, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.8627, kappa: 0.8476, kb_relative_information_score: 59571.1811, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8627, predictive_accuracy: 0.8629, prior_entropy: 3.3198, recall: 0.8629, relative_absolute_error: 0.1924, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1418, root_relative_squared_error: 0.4726,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9711, f_measure: 0.8653, kappa: 0.8505, kb_relative_information_score: 59892.0061, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8653, predictive_accuracy: 0.8655, prior_entropy: 3.3198, recall: 0.8655, relative_absolute_error: 0.1853, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.4691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.8666, kappa: 0.8519, kb_relative_information_score: 59964.5815, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8666, predictive_accuracy: 0.8668, prior_entropy: 3.3198, recall: 0.8668, relative_absolute_error: 0.1835, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.4692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8627, kappa: 0.8476, kb_relative_information_score: 59582.0381, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8627, predictive_accuracy: 0.8629, prior_entropy: 3.3198, recall: 0.8629, relative_absolute_error: 0.1922, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.871, kappa: 0.8567, kb_relative_information_score: 60341.8232, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.871, predictive_accuracy: 0.8711, prior_entropy: 3.3198, recall: 0.8711, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.871, kappa: 0.8567, kb_relative_information_score: 60339.3002, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.871, predictive_accuracy: 0.871, prior_entropy: 3.3198, recall: 0.871, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8812, kappa: 0.8681, kb_relative_information_score: 61461.7227, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8812, predictive_accuracy: 0.8813, prior_entropy: 3.3198, recall: 0.8813, relative_absolute_error: 0.1507, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.4571,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.8808, kappa: 0.8676, kb_relative_information_score: 61437.6194, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8808, predictive_accuracy: 0.8809, prior_entropy: 3.3198, recall: 0.8809, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1373, root_relative_squared_error: 0.4577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9708, f_measure: 0.8736, kappa: 0.8596, kb_relative_information_score: 60568.6925, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8736, predictive_accuracy: 0.8736, prior_entropy: 3.3198, recall: 0.8736, relative_absolute_error: 0.1752, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8721, kappa: 0.858, kb_relative_information_score: 60545.9204, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.872, predictive_accuracy: 0.8722, prior_entropy: 3.3198, recall: 0.8722, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8816, kappa: 0.8684, kb_relative_information_score: 61524.0173, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8816, predictive_accuracy: 0.8816, prior_entropy: 3.3198, recall: 0.8816, relative_absolute_error: 0.148, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.8716, kappa: 0.8575, kb_relative_information_score: 60881.9166, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8716, predictive_accuracy: 0.8718, prior_entropy: 3.3198, recall: 0.8718, relative_absolute_error: 0.1568, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.8834, kappa: 0.8705, kb_relative_information_score: 61742.6535, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8833, predictive_accuracy: 0.8835, prior_entropy: 3.3198, recall: 0.8835, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1394, root_relative_squared_error: 0.4648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9716, f_measure: 0.8649, kappa: 0.85, kb_relative_information_score: 59815.386, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8648, predictive_accuracy: 0.8651, prior_entropy: 3.3198, recall: 0.8651, relative_absolute_error: 0.1872, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.876, kappa: 0.8623, kb_relative_information_score: 61131.0105, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.876, predictive_accuracy: 0.8762, prior_entropy: 3.3198, recall: 0.8762, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.8616, kappa: 0.8464, kb_relative_information_score: 59463.2131, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8616, predictive_accuracy: 0.8618, prior_entropy: 3.3198, recall: 0.8618, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8764, kappa: 0.8629, kb_relative_information_score: 61280.4977, mean_absolute_error: 0.0259, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8763, predictive_accuracy: 0.8766, prior_entropy: 3.3198, recall: 0.8766, relative_absolute_error: 0.144, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1458, root_relative_squared_error: 0.4861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.87, kappa: 0.8555, kb_relative_information_score: 60256.2618, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 3.3198, recall: 0.87, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.4632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8741, kappa: 0.8602, kb_relative_information_score: 60665.3109, mean_absolute_error: 0.0311, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8741, predictive_accuracy: 0.8742, prior_entropy: 3.3198, recall: 0.8742, relative_absolute_error: 0.173, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9686, f_measure: 0.8688, kappa: 0.8544, kb_relative_information_score: 60209.3078, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8688, predictive_accuracy: 0.869, prior_entropy: 3.3198, recall: 0.869, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.4675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9726, f_measure: 0.8628, kappa: 0.8476, kb_relative_information_score: 59586.2534, mean_absolute_error: 0.0346, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8628, predictive_accuracy: 0.8629, prior_entropy: 3.3198, recall: 0.8629, relative_absolute_error: 0.1921, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.4723,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.8795, kappa: 0.8661, kb_relative_information_score: 61154.8634, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8794, predictive_accuracy: 0.8795, prior_entropy: 3.3198, recall: 0.8795, relative_absolute_error: 0.1598, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.4559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9544, f_measure: 0.8731, kappa: 0.8591, kb_relative_information_score: 61038.6615, mean_absolute_error: 0.0274, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8731, predictive_accuracy: 0.8732, prior_entropy: 3.3198, recall: 0.8732, relative_absolute_error: 0.1524, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8764, kappa: 0.8627, kb_relative_information_score: 60868.8134, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8764, predictive_accuracy: 0.8765, prior_entropy: 3.3198, recall: 0.8765, relative_absolute_error: 0.1681, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8838, kappa: 0.8711, kb_relative_information_score: 61535.1114, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 3.3198, recall: 0.884, relative_absolute_error: 0.1289, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1505, root_relative_squared_error: 0.5017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.97, f_measure: 0.8667, kappa: 0.852, kb_relative_information_score: 59957.3662, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8666, predictive_accuracy: 0.8668, prior_entropy: 3.3198, recall: 0.8668, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8802, kappa: 0.867, kb_relative_information_score: 61507.28, mean_absolute_error: 0.026, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8802, predictive_accuracy: 0.8803, prior_entropy: 3.3198, recall: 0.8803, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.4651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.872, kappa: 0.8577, kb_relative_information_score: 60454.0828, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.872, predictive_accuracy: 0.872, prior_entropy: 3.3198, recall: 0.872, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.4607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9652, f_measure: 0.8723, kappa: 0.8583, kb_relative_information_score: 60568.9032, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8723, predictive_accuracy: 0.8725, prior_entropy: 3.3198, recall: 0.8725, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.957, f_measure: 0.8756, kappa: 0.862, kb_relative_information_score: 61088.9329, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8755, predictive_accuracy: 0.8759, prior_entropy: 3.3198, recall: 0.8759, relative_absolute_error: 0.155, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1407, root_relative_squared_error: 0.4692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.883, kappa: 0.87, kb_relative_information_score: 61740.4582, mean_absolute_error: 0.0251, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8829, predictive_accuracy: 0.8831, prior_entropy: 3.3198, recall: 0.8831, relative_absolute_error: 0.1393, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.8777, kappa: 0.8642, kb_relative_information_score: 61053.3589, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8776, predictive_accuracy: 0.8778, prior_entropy: 3.3198, recall: 0.8778, relative_absolute_error: 0.1627, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.8834, kappa: 0.8704, kb_relative_information_score: 61676.8887, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8834, predictive_accuracy: 0.8834, prior_entropy: 3.3198, recall: 0.8834, relative_absolute_error: 0.1451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1369, root_relative_squared_error: 0.4565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.967, f_measure: 0.8776, kappa: 0.864, kb_relative_information_score: 61058.8228, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8775, predictive_accuracy: 0.8777, prior_entropy: 3.3198, recall: 0.8777, relative_absolute_error: 0.1626, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9706, f_measure: 0.8735, kappa: 0.8595, kb_relative_information_score: 60571.2102, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8735, predictive_accuracy: 0.8736, prior_entropy: 3.3198, recall: 0.8736, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1378, root_relative_squared_error: 0.4594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.8796, kappa: 0.8663, kb_relative_information_score: 61166.2639, mean_absolute_error: 0.0287, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8796, predictive_accuracy: 0.8797, prior_entropy: 3.3198, recall: 0.8797, relative_absolute_error: 0.1596, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1367, root_relative_squared_error: 0.4558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.871, kappa: 0.8567, kb_relative_information_score: 60337.7407, mean_absolute_error: 0.0324, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.871, predictive_accuracy: 0.8711, prior_entropy: 3.3198, recall: 0.8711, relative_absolute_error: 0.1802, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1387, root_relative_squared_error: 0.4625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.8735, kappa: 0.8595, kb_relative_information_score: 60568.9728, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8735, predictive_accuracy: 0.8736, prior_entropy: 3.3198, recall: 0.8736, relative_absolute_error: 0.1751, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1377, root_relative_squared_error: 0.4592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9494, f_measure: 0.8771, kappa: 0.8636, kb_relative_information_score: 61304.3783, mean_absolute_error: 0.0263, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8771, predictive_accuracy: 0.8773, prior_entropy: 3.3198, recall: 0.8773, relative_absolute_error: 0.146, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1435, root_relative_squared_error: 0.4783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9651, f_measure: 0.8725, kappa: 0.8584, kb_relative_information_score: 60565.8234, mean_absolute_error: 0.0303, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8724, predictive_accuracy: 0.8726, prior_entropy: 3.3198, recall: 0.8726, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8752, kappa: 0.8614, kb_relative_information_score: 60851.1096, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8751, predictive_accuracy: 0.8753, prior_entropy: 3.3198, recall: 0.8753, relative_absolute_error: 0.1616, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1396, root_relative_squared_error: 0.4656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.8775, kappa: 0.864, kb_relative_information_score: 60986.8287, mean_absolute_error: 0.0297, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8775, predictive_accuracy: 0.8776, prior_entropy: 3.3198, recall: 0.8776, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.881, kappa: 0.8678, kb_relative_information_score: 61447.6891, mean_absolute_error: 0.0272, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8809, predictive_accuracy: 0.881, prior_entropy: 3.3198, recall: 0.881, relative_absolute_error: 0.1509, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.8667, kappa: 0.852, kb_relative_information_score: 59963.0688, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8666, predictive_accuracy: 0.8668, prior_entropy: 3.3198, recall: 0.8668, relative_absolute_error: 0.1836, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9356, f_measure: 0.8839, kappa: 0.871, kb_relative_information_score: 61460.331, mean_absolute_error: 0.0232, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8838, predictive_accuracy: 0.884, prior_entropy: 3.3198, recall: 0.884, relative_absolute_error: 0.129, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.5079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9723, f_measure: 0.8699, kappa: 0.8555, kb_relative_information_score: 60254.9685, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 3.3198, recall: 0.87, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.4632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8738, kappa: 0.8599, kb_relative_information_score: 60990.7984, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8737, predictive_accuracy: 0.874, prior_entropy: 3.3198, recall: 0.874, relative_absolute_error: 0.145, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1486, root_relative_squared_error: 0.4955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9603, f_measure: 0.882, kappa: 0.8689, kb_relative_information_score: 61529.325, mean_absolute_error: 0.0267, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.882, predictive_accuracy: 0.882, prior_entropy: 3.3198, recall: 0.882, relative_absolute_error: 0.1483, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1374, root_relative_squared_error: 0.4581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.8615, kappa: 0.8463, kb_relative_information_score: 59456.2351, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8615, predictive_accuracy: 0.8617, prior_entropy: 3.3198, recall: 0.8617, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1423, root_relative_squared_error: 0.4745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9714, f_measure: 0.8721, kappa: 0.8579, kb_relative_information_score: 60458.1613, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8721, predictive_accuracy: 0.8722, prior_entropy: 3.3198, recall: 0.8722, relative_absolute_error: 0.1778, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.4604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8799, kappa: 0.8666, kb_relative_information_score: 61263.7859, mean_absolute_error: 0.0282, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8799, predictive_accuracy: 0.88, prior_entropy: 3.3198, recall: 0.88, relative_absolute_error: 0.1566, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1366, root_relative_squared_error: 0.4555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8639, kappa: 0.8489, kb_relative_information_score: 59676.3254, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8638, predictive_accuracy: 0.864, prior_entropy: 3.3198, recall: 0.864, relative_absolute_error: 0.19, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1414, root_relative_squared_error: 0.4715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.8815, kappa: 0.8683, kb_relative_information_score: 61479.4012, mean_absolute_error: 0.0269, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8815, predictive_accuracy: 0.8815, prior_entropy: 3.3198, recall: 0.8815, relative_absolute_error: 0.1496, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.4586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9455, f_measure: 0.8819, kappa: 0.869, kb_relative_information_score: 61732.7414, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8819, predictive_accuracy: 0.8822, prior_entropy: 3.3198, recall: 0.8822, relative_absolute_error: 0.133, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1438, root_relative_squared_error: 0.4795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.8649, kappa: 0.8501, kb_relative_information_score: 59809.0422, mean_absolute_error: 0.0337, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8649, predictive_accuracy: 0.8651, prior_entropy: 3.3198, recall: 0.8651, relative_absolute_error: 0.1875, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.881, kappa: 0.8678, kb_relative_information_score: 61355.1649, mean_absolute_error: 0.0277, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.881, predictive_accuracy: 0.8811, prior_entropy: 3.3198, recall: 0.8811, relative_absolute_error: 0.1539, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1368, root_relative_squared_error: 0.4562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9569, f_measure: 0.8822, kappa: 0.8692, kb_relative_information_score: 61691.4772, mean_absolute_error: 0.0256, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8822, predictive_accuracy: 0.8823, prior_entropy: 3.3198, recall: 0.8823, relative_absolute_error: 0.1423, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1384, root_relative_squared_error: 0.4615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8733, kappa: 0.8594, kb_relative_information_score: 60662.5215, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8733, predictive_accuracy: 0.8735, prior_entropy: 3.3198, recall: 0.8735, relative_absolute_error: 0.1662, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9695, f_measure: 0.875, kappa: 0.8612, kb_relative_information_score: 60785.1758, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8749, predictive_accuracy: 0.8751, prior_entropy: 3.3198, recall: 0.8751, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.4575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8739, kappa: 0.86, kb_relative_information_score: 60697.5869, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8738, predictive_accuracy: 0.874, prior_entropy: 3.3198, recall: 0.874, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9596, f_measure: 0.8814, kappa: 0.8682, kb_relative_information_score: 61514.635, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8814, predictive_accuracy: 0.8814, prior_entropy: 3.3198, recall: 0.8814, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1379, root_relative_squared_error: 0.4596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.8701, kappa: 0.8557, kb_relative_information_score: 60271.7171, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8701, predictive_accuracy: 0.8701, prior_entropy: 3.3198, recall: 0.8701, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.4627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8652, kappa: 0.8503, kb_relative_information_score: 59879.7729, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8651, predictive_accuracy: 0.8653, prior_entropy: 3.3198, recall: 0.8653, relative_absolute_error: 0.1855, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9724, f_measure: 0.8699, kappa: 0.8555, kb_relative_information_score: 60257.1586, mean_absolute_error: 0.0328, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8699, predictive_accuracy: 0.87, prior_entropy: 3.3198, recall: 0.87, relative_absolute_error: 0.1822, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1389, root_relative_squared_error: 0.4631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8754, kappa: 0.8616, kb_relative_information_score: 60830.3888, mean_absolute_error: 0.0292, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8754, predictive_accuracy: 0.8755, prior_entropy: 3.3198, recall: 0.8755, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1393, root_relative_squared_error: 0.4646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.8721, kappa: 0.8579, kb_relative_information_score: 60459.1798, mean_absolute_error: 0.0319, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8721, predictive_accuracy: 0.8721, prior_entropy: 3.3198, recall: 0.8721, relative_absolute_error: 0.1775, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.4605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9465, f_measure: 0.8736, kappa: 0.8597, kb_relative_information_score: 60976.5291, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8736, predictive_accuracy: 0.8738, prior_entropy: 3.3198, recall: 0.8738, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1464, root_relative_squared_error: 0.4882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9456, f_measure: 0.8772, kappa: 0.8637, kb_relative_information_score: 61333.6645, mean_absolute_error: 0.0258, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8771, predictive_accuracy: 0.8774, prior_entropy: 3.3198, recall: 0.8774, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1454, root_relative_squared_error: 0.4848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8736, kappa: 0.8598, kb_relative_information_score: 61167.6621, mean_absolute_error: 0.0262, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8736, predictive_accuracy: 0.8739, prior_entropy: 3.3198, recall: 0.8739, relative_absolute_error: 0.1458, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1455, root_relative_squared_error: 0.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.873, kappa: 0.859, kb_relative_information_score: 60944.0193, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.873, predictive_accuracy: 0.8732, prior_entropy: 3.3198, recall: 0.8732, relative_absolute_error: 0.1473, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.4914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8771, kappa: 0.8636, kb_relative_information_score: 61242.2752, mean_absolute_error: 0.0271, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.877, predictive_accuracy: 0.8773, prior_entropy: 3.3198, recall: 0.8773, relative_absolute_error: 0.1506, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1413, root_relative_squared_error: 0.4712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9685, f_measure: 0.8766, kappa: 0.863, kb_relative_information_score: 60881.7365, mean_absolute_error: 0.0302, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8766, predictive_accuracy: 0.8767, prior_entropy: 3.3198, recall: 0.8767, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9463, f_measure: 0.8733, kappa: 0.8593, kb_relative_information_score: 60948.9723, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8732, predictive_accuracy: 0.8734, prior_entropy: 3.3198, recall: 0.8734, relative_absolute_error: 0.1479, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1467, root_relative_squared_error: 0.4889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.8774, kappa: 0.8638, kb_relative_information_score: 60970.8156, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8773, predictive_accuracy: 0.8775, prior_entropy: 3.3198, recall: 0.8775, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8638, kappa: 0.8488, kb_relative_information_score: 59666.7014, mean_absolute_error: 0.0342, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8638, predictive_accuracy: 0.864, prior_entropy: 3.3198, recall: 0.864, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1415, root_relative_squared_error: 0.4719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8809, kappa: 0.8677, kb_relative_information_score: 61434.6963, mean_absolute_error: 0.0273, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8809, predictive_accuracy: 0.8809, prior_entropy: 3.3198, recall: 0.8809, relative_absolute_error: 0.1515, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.137, root_relative_squared_error: 0.4567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.8653, kappa: 0.8504, kb_relative_information_score: 59890.5671, mean_absolute_error: 0.0333, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8652, predictive_accuracy: 0.8654, prior_entropy: 3.3198, recall: 0.8654, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9701, f_measure: 0.8665, kappa: 0.8518, kb_relative_information_score: 59962.7602, mean_absolute_error: 0.033, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8664, predictive_accuracy: 0.8666, prior_entropy: 3.3198, recall: 0.8666, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1408, root_relative_squared_error: 0.4694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.8776, kappa: 0.864, kb_relative_information_score: 61043.993, mean_absolute_error: 0.0293, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8775, predictive_accuracy: 0.8777, prior_entropy: 3.3198, recall: 0.8777, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1371, root_relative_squared_error: 0.457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8724, kappa: 0.8583, kb_relative_information_score: 60562.301, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8723, predictive_accuracy: 0.8725, prior_entropy: 3.3198, recall: 0.8725, relative_absolute_error: 0.1687, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.4659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.8736, kappa: 0.8597, kb_relative_information_score: 60684.0947, mean_absolute_error: 0.0298, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8735, predictive_accuracy: 0.8737, prior_entropy: 3.3198, recall: 0.8737, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.4665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9673, f_measure: 0.8695, kappa: 0.8551, kb_relative_information_score: 60298.9365, mean_absolute_error: 0.0315, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8694, predictive_accuracy: 0.8696, prior_entropy: 3.3198, recall: 0.8696, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1402, root_relative_squared_error: 0.4676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9482, f_measure: 0.8769, kappa: 0.8634, kb_relative_information_score: 61318.4753, mean_absolute_error: 0.0261, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8768, predictive_accuracy: 0.8771, prior_entropy: 3.3198, recall: 0.8771, relative_absolute_error: 0.1451, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.144, root_relative_squared_error: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.8806, kappa: 0.8674, kb_relative_information_score: 61297.4826, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8806, predictive_accuracy: 0.8807, prior_entropy: 3.3198, recall: 0.8807, relative_absolute_error: 0.1562, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1364, root_relative_squared_error: 0.4547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9653, f_measure: 0.872, kappa: 0.8579, kb_relative_information_score: 60558.0618, mean_absolute_error: 0.0304, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8719, predictive_accuracy: 0.8721, prior_entropy: 3.3198, recall: 0.8721, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1397, root_relative_squared_error: 0.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.8761, kappa: 0.8624, kb_relative_information_score: 60969.8537, mean_absolute_error: 0.0285, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.876, predictive_accuracy: 0.8762, prior_entropy: 3.3198, recall: 0.8762, relative_absolute_error: 0.1583, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1401, root_relative_squared_error: 0.4671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.8682, kappa: 0.8536, kb_relative_information_score: 60083.8488, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8681, predictive_accuracy: 0.8683, prior_entropy: 3.3198, recall: 0.8683, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.4679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9727, f_measure: 0.8616, kappa: 0.8463, kb_relative_information_score: 59460.8126, mean_absolute_error: 0.035, mean_prior_absolute_error: 0.1799, number_of_instances: 70000, precision: 0.8616, predictive_accuracy: 0.8618, prior_entropy: 3.3198, recall: 0.8618, relative_absolute_error: 0.1945, root_mean_prior_squared_error: 0.3, root_mean_squared_error: 0.1424, root_relative_squared_error: 0.4746,

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