Task
Supervised Classification on sick

Supervised Classification on sick

Task 3021 Supervised Classification sick 16669 runs submitted
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  • mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_98 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9319, f_measure: 0.9764, kappa: 0.792, kb_relative_information_score: 2362.8143, mean_absolute_error: 0.0301, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9762, predictive_accuracy: 0.9767, prior_entropy: 0.3333, recall: 0.9767, relative_absolute_error: 0.2613, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.5971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9803, f_measure: 0.9794, kappa: 0.8139, kb_relative_information_score: 1982.9642, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9793, predictive_accuracy: 0.9801, prior_entropy: 0.3333, recall: 0.9801, relative_absolute_error: 0.342, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.5056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.945, f_measure: 0.9868, kappa: 0.883, kb_relative_information_score: 3055.5584, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9867, predictive_accuracy: 0.987, prior_entropy: 0.3333, recall: 0.987, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9888, kappa: 0.9016, kb_relative_information_score: 3003.4216, mean_absolute_error: 0.017, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9887, predictive_accuracy: 0.9889, prior_entropy: 0.3333, recall: 0.9889, relative_absolute_error: 0.1475, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.3816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.9847, kappa: 0.865, kb_relative_information_score: 2808.0682, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9846, predictive_accuracy: 0.9849, prior_entropy: 0.3333, recall: 0.9849, relative_absolute_error: 0.1852, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0991, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6991, f_measure: 0.9088, kappa: -0.0011, kb_relative_information_score: -29858.7064, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8812, predictive_accuracy: 0.9382, prior_entropy: 0.3333, recall: 0.9382, relative_absolute_error: 4.2953, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.4948, root_relative_squared_error: 2.0637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 1864.1239, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3333, recall: 0.9655, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.6608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8535, f_measure: 0.9091, kb_relative_information_score: -221.5967, mean_absolute_error: 0.1094, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9498, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2218, root_relative_squared_error: 0.925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.954, kappa: 0.5538, kb_relative_information_score: 1884.6345, mean_absolute_error: 0.0403, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9555, predictive_accuracy: 0.9597, prior_entropy: 0.3333, recall: 0.9597, relative_absolute_error: 0.3498, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2007, root_relative_squared_error: 0.8372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9849, kappa: 0.8635, kb_relative_information_score: 2693.7268, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9851, predictive_accuracy: 0.9854, prior_entropy: 0.3333, recall: 0.9854, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.116, root_relative_squared_error: 0.4837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9784, kappa: 0.8029, kb_relative_information_score: 2191.5106, mean_absolute_error: 0.0321, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9788, predictive_accuracy: 0.9796, prior_entropy: 0.3333, recall: 0.9796, relative_absolute_error: 0.2785, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1183, root_relative_squared_error: 0.4934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9325, f_measure: 0.9362, kappa: 0.5285, kb_relative_information_score: -1500.0811, mean_absolute_error: 0.0901, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9513, predictive_accuracy: 0.9274, prior_entropy: 0.3333, recall: 0.9274, relative_absolute_error: 0.7822, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.227, root_relative_squared_error: 0.9468,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.909, kappa: -0.0005, kb_relative_information_score: 896.731, mean_absolute_error: 0.0615, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9385, prior_entropy: 0.3333, recall: 0.9385, relative_absolute_error: 0.534, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.248, root_relative_squared_error: 1.0343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9847, kappa: 0.8684, kb_relative_information_score: 3049.2229, mean_absolute_error: 0.0152, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9849, predictive_accuracy: 0.9846, prior_entropy: 0.3333, recall: 0.9846, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1202, root_relative_squared_error: 0.5014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.954, kappa: 0.5624, kb_relative_information_score: 1528.7436, mean_absolute_error: 0.0489, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9539, predictive_accuracy: 0.9586, prior_entropy: 0.3333, recall: 0.9586, relative_absolute_error: 0.4245, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1808, root_relative_squared_error: 0.7539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9816, kappa: 0.833, kb_relative_information_score: 2440.0088, mean_absolute_error: 0.0357, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9825, prior_entropy: 0.3333, recall: 0.9825, relative_absolute_error: 0.3096, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1148, root_relative_squared_error: 0.4789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9735, kappa: 0.7517, kb_relative_information_score: 2006.1308, mean_absolute_error: 0.0448, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9748, predictive_accuracy: 0.9756, prior_entropy: 0.3333, recall: 0.9756, relative_absolute_error: 0.3886, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1282, root_relative_squared_error: 0.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.9619, kappa: 0.6644, kb_relative_information_score: 1816.3693, mean_absolute_error: 0.0412, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9615, predictive_accuracy: 0.9624, prior_entropy: 0.3333, recall: 0.9624, relative_absolute_error: 0.3576, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1903, root_relative_squared_error: 0.7937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.9626, kappa: 0.667, kb_relative_information_score: 212.2793, mean_absolute_error: 0.0678, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9619, predictive_accuracy: 0.9634, prior_entropy: 0.3333, recall: 0.9634, relative_absolute_error: 0.589, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.7409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9205, f_measure: 0.9753, kappa: 0.7851, kb_relative_information_score: 2050.9431, mean_absolute_error: 0.0446, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9753, predictive_accuracy: 0.9753, prior_entropy: 0.3333, recall: 0.9753, relative_absolute_error: 0.3874, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.6057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.9609, kappa: 0.6497, kb_relative_information_score: 1991.4019, mean_absolute_error: 0.0382, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9601, predictive_accuracy: 0.9621, prior_entropy: 0.3333, recall: 0.9621, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.8118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9905, kappa: 0.9173, kb_relative_information_score: 3277.7673, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.3333, recall: 0.9905, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0968, root_relative_squared_error: 0.4037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9871, kappa: 0.8861, kb_relative_information_score: 2979.253, mean_absolute_error: 0.0178, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.987, predictive_accuracy: 0.9873, prior_entropy: 0.3333, recall: 0.9873, relative_absolute_error: 0.1542, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.4409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9874, kappa: 0.8887, kb_relative_information_score: 2949.0936, mean_absolute_error: 0.0183, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9873, predictive_accuracy: 0.9875, prior_entropy: 0.3333, recall: 0.9875, relative_absolute_error: 0.1589, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.4363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.915, f_measure: 0.9439, kappa: 0.5325, kb_relative_information_score: 158.3456, mean_absolute_error: 0.0735, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9467, predictive_accuracy: 0.9417, prior_entropy: 0.3333, recall: 0.9417, relative_absolute_error: 0.6383, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.206, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.957, kappa: 0.599, kb_relative_information_score: 1934.7017, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9562, predictive_accuracy: 0.9602, prior_entropy: 0.3333, recall: 0.9602, relative_absolute_error: 0.378, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.7585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9013, f_measure: 0.9778, kappa: 0.8021, kb_relative_information_score: 2699.0084, mean_absolute_error: 0.0228, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9775, predictive_accuracy: 0.9783, prior_entropy: 0.3333, recall: 0.9783, relative_absolute_error: 0.1983, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1474, root_relative_squared_error: 0.6146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8827, f_measure: 0.9575, kappa: 0.6118, kb_relative_information_score: 1483.5029, mean_absolute_error: 0.0454, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9564, predictive_accuracy: 0.9597, prior_entropy: 0.3333, recall: 0.9597, relative_absolute_error: 0.3944, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.7367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9846, kappa: 0.8639, kb_relative_information_score: 2819.9015, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9845, predictive_accuracy: 0.9849, prior_entropy: 0.3333, recall: 0.9849, relative_absolute_error: 0.1901, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1118, root_relative_squared_error: 0.4664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9955, f_measure: 0.9891, kappa: 0.9049, kb_relative_information_score: 3017.624, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.3333, recall: 0.9891, relative_absolute_error: 0.1275, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0885, root_relative_squared_error: 0.3692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 1876.7774, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3333, recall: 0.9655, relative_absolute_error: 0.4323, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1566, root_relative_squared_error: 0.6533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.9091, kb_relative_information_score: 909.0798, mean_absolute_error: 0.0612, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.5317, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2475, root_relative_squared_error: 1.0321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.985, kappa: 0.8653, kb_relative_information_score: 2600.3531, mean_absolute_error: 0.0248, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.985, predictive_accuracy: 0.9854, prior_entropy: 0.3333, recall: 0.9854, relative_absolute_error: 0.2151, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.116, root_relative_squared_error: 0.4839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9286, f_measure: 0.9824, kappa: 0.8435, kb_relative_information_score: 2556.1913, mean_absolute_error: 0.0283, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9823, predictive_accuracy: 0.9828, prior_entropy: 0.3333, recall: 0.9828, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1233, root_relative_squared_error: 0.5141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.9799, kappa: 0.8189, kb_relative_information_score: 2482.4644, mean_absolute_error: 0.0312, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9799, predictive_accuracy: 0.9806, prior_entropy: 0.3333, recall: 0.9806, relative_absolute_error: 0.2712, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.5277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9276, f_measure: 0.9799, kappa: 0.8189, kb_relative_information_score: 2478.3763, mean_absolute_error: 0.0313, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9799, predictive_accuracy: 0.9806, prior_entropy: 0.3333, recall: 0.9806, relative_absolute_error: 0.2719, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1267, root_relative_squared_error: 0.5283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9254, f_measure: 0.9797, kappa: 0.8242, kb_relative_information_score: 2419.1753, mean_absolute_error: 0.0343, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9798, predictive_accuracy: 0.9796, prior_entropy: 0.3333, recall: 0.9796, relative_absolute_error: 0.2982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1337, root_relative_squared_error: 0.5578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9288, f_measure: 0.9644, kappa: 0.6989, kb_relative_information_score: 2088.447, mean_absolute_error: 0.0366, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9657, predictive_accuracy: 0.9634, prior_entropy: 0.3333, recall: 0.9634, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1761, root_relative_squared_error: 0.7344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.98, kappa: 0.8269, kb_relative_information_score: 2385.7293, mean_absolute_error: 0.0358, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9801, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.3109, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.5599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 1877.7499, mean_absolute_error: 0.0498, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3333, recall: 0.9655, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1569, root_relative_squared_error: 0.6543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9883, kappa: 0.8973, kb_relative_information_score: 3124.0621, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9882, predictive_accuracy: 0.9883, prior_entropy: 0.3333, recall: 0.9883, relative_absolute_error: 0.1266, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.103, root_relative_squared_error: 0.4295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9753, kappa: 0.7851, kb_relative_information_score: 2049.4662, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9753, predictive_accuracy: 0.9753, prior_entropy: 0.3333, recall: 0.9753, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.6059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.9753, kappa: 0.7851, kb_relative_information_score: 2049.4662, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9753, predictive_accuracy: 0.9753, prior_entropy: 0.3333, recall: 0.9753, relative_absolute_error: 0.3883, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1453, root_relative_squared_error: 0.6059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8674, f_measure: 0.9728, kappa: 0.7598, kb_relative_information_score: 2436.9333, mean_absolute_error: 0.0279, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9732, prior_entropy: 0.3333, recall: 0.9732, relative_absolute_error: 0.2418, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1616, root_relative_squared_error: 0.6741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 1581.5295, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3333, recall: 0.9655, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.6888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9117, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 1581.5295, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3333, recall: 0.9655, relative_absolute_error: 0.5618, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.6888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9816, kappa: 0.8322, kb_relative_information_score: 2311.7959, mean_absolute_error: 0.0375, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.982, predictive_accuracy: 0.9825, prior_entropy: 0.3333, recall: 0.9825, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1162, root_relative_squared_error: 0.4845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9845, kappa: 0.8601, kb_relative_information_score: 2612.888, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9848, predictive_accuracy: 0.9852, prior_entropy: 0.3333, recall: 0.9852, relative_absolute_error: 0.2592, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1052, root_relative_squared_error: 0.4389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9849, kappa: 0.8635, kb_relative_information_score: 2701.7919, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9851, predictive_accuracy: 0.9854, prior_entropy: 0.3333, recall: 0.9854, relative_absolute_error: 0.2291, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9878, kappa: 0.8912, kb_relative_information_score: 2858.9887, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9878, predictive_accuracy: 0.9881, prior_entropy: 0.3333, recall: 0.9881, relative_absolute_error: 0.1844, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0943, root_relative_squared_error: 0.3932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9858, kappa: 0.876, kb_relative_information_score: 2584.3801, mean_absolute_error: 0.0255, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9858, predictive_accuracy: 0.9859, prior_entropy: 0.3333, recall: 0.9859, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.4442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9886, kappa: 0.8978, kb_relative_information_score: 2938.2632, mean_absolute_error: 0.0185, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9887, predictive_accuracy: 0.9889, prior_entropy: 0.3333, recall: 0.9889, relative_absolute_error: 0.1608, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.091, root_relative_squared_error: 0.3794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.9091, kb_relative_information_score: -10.937, mean_absolute_error: 0.1152, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.9783, kappa: 0.8143, kb_relative_information_score: 2270.7691, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9788, predictive_accuracy: 0.978, prior_entropy: 0.3333, recall: 0.978, relative_absolute_error: 0.3478, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.135, root_relative_squared_error: 0.5629,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9892, kappa: 0.9047, kb_relative_information_score: 3038.902, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9892, predictive_accuracy: 0.9894, prior_entropy: 0.3333, recall: 0.9894, relative_absolute_error: 0.1355, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0874, root_relative_squared_error: 0.3646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9887, kappa: 0.8999, kb_relative_information_score: 3087.6879, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9886, predictive_accuracy: 0.9889, prior_entropy: 0.3333, recall: 0.9889, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9841, kappa: 0.8564, kb_relative_information_score: 2259.3246, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9842, predictive_accuracy: 0.9846, prior_entropy: 0.3333, recall: 0.9846, relative_absolute_error: 0.26, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.4704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9594, kappa: 0.5977, kb_relative_information_score: 1612.5813, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9661, predictive_accuracy: 0.9655, prior_entropy: 0.3333, recall: 0.9655, relative_absolute_error: 0.5713, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.149, root_relative_squared_error: 0.6215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9784, kappa: 0.8132, kb_relative_information_score: 2317.2251, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9785, predictive_accuracy: 0.9783, prior_entropy: 0.3333, recall: 0.9783, relative_absolute_error: 0.3367, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1336, root_relative_squared_error: 0.5572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.95, f_measure: 0.9633, kappa: 0.6607, kb_relative_information_score: 1060.7554, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.963, predictive_accuracy: 0.9658, prior_entropy: 0.3333, recall: 0.9658, relative_absolute_error: 0.483, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1647, root_relative_squared_error: 0.6869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.976, kappa: 0.7884, kb_relative_information_score: 2519.265, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9758, predictive_accuracy: 0.9764, prior_entropy: 0.3333, recall: 0.9764, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.5931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9818, kappa: 0.8351, kb_relative_information_score: 2419.9385, mean_absolute_error: 0.0327, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9819, predictive_accuracy: 0.9825, prior_entropy: 0.3333, recall: 0.9825, relative_absolute_error: 0.2842, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.112, root_relative_squared_error: 0.4673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9887, kappa: 0.8999, kb_relative_information_score: 3087.6879, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9886, predictive_accuracy: 0.9889, prior_entropy: 0.3333, recall: 0.9889, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9887, kappa: 0.8999, kb_relative_information_score: 3087.6879, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9886, predictive_accuracy: 0.9889, prior_entropy: 0.3333, recall: 0.9889, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9887, kappa: 0.8999, kb_relative_information_score: 3087.6879, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9886, predictive_accuracy: 0.9889, prior_entropy: 0.3333, recall: 0.9889, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9887, kappa: 0.8999, kb_relative_information_score: 3087.6879, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9886, predictive_accuracy: 0.9889, prior_entropy: 0.3333, recall: 0.9889, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9887, kappa: 0.8999, kb_relative_information_score: 3087.6879, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9886, predictive_accuracy: 0.9889, prior_entropy: 0.3333, recall: 0.9889, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9887, kappa: 0.8999, kb_relative_information_score: 3087.6879, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9886, predictive_accuracy: 0.9889, prior_entropy: 0.3333, recall: 0.9889, relative_absolute_error: 0.1246, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9454, f_measure: 0.9653, kappa: 0.6809, kb_relative_information_score: 1152.3526, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9649, predictive_accuracy: 0.9674, prior_entropy: 0.3333, recall: 0.9674, relative_absolute_error: 0.4687, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.6827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9806, kappa: 0.8328, kb_relative_information_score: 1993.4232, mean_absolute_error: 0.04, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9808, predictive_accuracy: 0.9804, prior_entropy: 0.3333, recall: 0.9804, relative_absolute_error: 0.3468, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.4916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9729, f_measure: 0.9909, kappa: 0.9203, kb_relative_information_score: 3345.8269, mean_absolute_error: 0.0094, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9909, predictive_accuracy: 0.991, prior_entropy: 0.3333, recall: 0.991, relative_absolute_error: 0.0813, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0936, root_relative_squared_error: 0.3903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9877, kappa: 0.8922, kb_relative_information_score: 3216.0313, mean_absolute_error: 0.012, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9876, predictive_accuracy: 0.9878, prior_entropy: 0.3333, recall: 0.9878, relative_absolute_error: 0.1041, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1035, root_relative_squared_error: 0.4317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9875, kappa: 0.8885, kb_relative_information_score: 2877.9457, mean_absolute_error: 0.021, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9875, predictive_accuracy: 0.9878, prior_entropy: 0.3333, recall: 0.9878, relative_absolute_error: 0.1826, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0979, root_relative_squared_error: 0.4081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9375, f_measure: 0.9748, kappa: 0.7814, kb_relative_information_score: 1756.9372, mean_absolute_error: 0.0407, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9749, predictive_accuracy: 0.9748, prior_entropy: 0.3333, recall: 0.9748, relative_absolute_error: 0.3531, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1541, root_relative_squared_error: 0.6428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9475, f_measure: 0.9658, kappa: 0.702, kb_relative_information_score: 1823.5939, mean_absolute_error: 0.0386, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9657, predictive_accuracy: 0.9658, prior_entropy: 0.3333, recall: 0.9658, relative_absolute_error: 0.3353, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.6889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.947, f_measure: 0.9756, kappa: 0.7902, kb_relative_information_score: 1838.7385, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9759, predictive_accuracy: 0.9753, prior_entropy: 0.3333, recall: 0.9753, relative_absolute_error: 0.4127, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1462, root_relative_squared_error: 0.6099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9483, f_measure: 0.9657, kappa: 0.6947, kb_relative_information_score: 1771.2963, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9652, predictive_accuracy: 0.9666, prior_entropy: 0.3333, recall: 0.9666, relative_absolute_error: 0.3654, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.6967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9383, f_measure: 0.9671, kappa: 0.7093, kb_relative_information_score: 1947.2568, mean_absolute_error: 0.0368, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9667, predictive_accuracy: 0.9677, prior_entropy: 0.3333, recall: 0.9677, relative_absolute_error: 0.3196, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1652, root_relative_squared_error: 0.6892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9728, kappa: 0.7517, kb_relative_information_score: 2058.0382, mean_absolute_error: 0.036, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9728, predictive_accuracy: 0.9743, prior_entropy: 0.3333, recall: 0.9743, relative_absolute_error: 0.3122, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.5837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.9856, kappa: 0.874, kb_relative_information_score: 3018.4123, mean_absolute_error: 0.0174, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9855, predictive_accuracy: 0.9857, prior_entropy: 0.3333, recall: 0.9857, relative_absolute_error: 0.151, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1131, root_relative_squared_error: 0.4715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8947, f_measure: 0.9805, kappa: 0.8263, kb_relative_information_score: 2872.538, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9803, predictive_accuracy: 0.9809, prior_entropy: 0.3333, recall: 0.9809, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9232, f_measure: 0.9847, kappa: 0.8656, kb_relative_information_score: 3057.7699, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9846, predictive_accuracy: 0.9849, prior_entropy: 0.3333, recall: 0.9849, relative_absolute_error: 0.1312, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1229, root_relative_squared_error: 0.5127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.9873, kappa: 0.8902, kb_relative_information_score: 3168.9091, mean_absolute_error: 0.0127, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9874, predictive_accuracy: 0.9873, prior_entropy: 0.3333, recall: 0.9873, relative_absolute_error: 0.1105, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1128, root_relative_squared_error: 0.4705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7738, f_measure: 0.9633, kappa: 0.6534, kb_relative_information_score: 2205.7032, mean_absolute_error: 0.0334, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.964, predictive_accuracy: 0.9666, prior_entropy: 0.3333, recall: 0.9666, relative_absolute_error: 0.29, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1828, root_relative_squared_error: 0.7623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6722, f_measure: 0.9461, kappa: 0.4648, kb_relative_information_score: 1637.6586, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9485, predictive_accuracy: 0.9544, prior_entropy: 0.3333, recall: 0.9544, relative_absolute_error: 0.3959, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2135, root_relative_squared_error: 0.8906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8537, f_measure: 0.9249, kappa: 0.4788, kb_relative_information_score: -362.846, mean_absolute_error: 0.0885, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9487, predictive_accuracy: 0.9115, prior_entropy: 0.3333, recall: 0.9115, relative_absolute_error: 0.7687, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2976, root_relative_squared_error: 1.2411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9679, kappa: 0.742, kb_relative_information_score: 2157.2615, mean_absolute_error: 0.0344, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9725, predictive_accuracy: 0.9655, prior_entropy: 0.3333, recall: 0.9655, relative_absolute_error: 0.2987, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1847, root_relative_squared_error: 0.7701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9307, f_measure: 0.9711, kappa: 0.7526, kb_relative_information_score: -1627.1379, mean_absolute_error: 0.0896, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9717, predictive_accuracy: 0.9706, prior_entropy: 0.3333, recall: 0.9706, relative_absolute_error: 0.7777, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.6876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9435, f_measure: 0.976, kappa: 0.7884, kb_relative_information_score: 2519.265, mean_absolute_error: 0.0284, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9758, predictive_accuracy: 0.9764, prior_entropy: 0.3333, recall: 0.9764, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1422, root_relative_squared_error: 0.5931,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9238, f_measure: 0.9339, kappa: 0.5147, kb_relative_information_score: -1417.913, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.95, predictive_accuracy: 0.9244, prior_entropy: 0.3333, recall: 0.9244, relative_absolute_error: 0.7842, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2347, root_relative_squared_error: 0.9788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.9796, kappa: 0.8186, kb_relative_information_score: 2835.4917, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9794, predictive_accuracy: 0.9801, prior_entropy: 0.3333, recall: 0.9801, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.141, root_relative_squared_error: 0.5881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.9806, kappa: 0.8268, kb_relative_information_score: 2884.8868, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9805, predictive_accuracy: 0.9812, prior_entropy: 0.3333, recall: 0.9812, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1372, root_relative_squared_error: 0.5722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.9796, kappa: 0.8186, kb_relative_information_score: 2835.4917, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9794, predictive_accuracy: 0.9801, prior_entropy: 0.3333, recall: 0.9801, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.141, root_relative_squared_error: 0.5881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9129, f_measure: 0.9808, kappa: 0.8326, kb_relative_information_score: 2872.538, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9808, predictive_accuracy: 0.9809, prior_entropy: 0.3333, recall: 0.9809, relative_absolute_error: 0.1657, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1382, root_relative_squared_error: 0.5762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.9797, kappa: 0.8202, kb_relative_information_score: 2835.4917, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9795, predictive_accuracy: 0.9801, prior_entropy: 0.3333, recall: 0.9801, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.141, root_relative_squared_error: 0.5881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8903, f_measure: 0.9796, kappa: 0.8186, kb_relative_information_score: 2835.4917, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9794, predictive_accuracy: 0.9801, prior_entropy: 0.3333, recall: 0.9801, relative_absolute_error: 0.1726, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.141, root_relative_squared_error: 0.5881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8719, f_measure: 0.979, kappa: 0.8093, kb_relative_information_score: 2823.1429, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.979, predictive_accuracy: 0.9799, prior_entropy: 0.3333, recall: 0.9799, relative_absolute_error: 0.1749, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1419, root_relative_squared_error: 0.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.989, kappa: 0.9025, kb_relative_information_score: 3047.3679, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9889, predictive_accuracy: 0.9891, prior_entropy: 0.3333, recall: 0.9891, relative_absolute_error: 0.1369, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.0952, root_relative_squared_error: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9754, f_measure: 0.9808, kappa: 0.8326, kb_relative_information_score: 2540.8243, mean_absolute_error: 0.0249, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.9808, predictive_accuracy: 0.9809, prior_entropy: 0.3333, recall: 0.9809, relative_absolute_error: 0.2162, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.5036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.9091, kb_relative_information_score: 3.5482, mean_absolute_error: 0.115, mean_prior_absolute_error: 0.1152, number_of_instances: 3772, precision: 0.8813, predictive_accuracy: 0.9388, prior_entropy: 0.3333, recall: 0.9388, relative_absolute_error: 0.9982, root_mean_prior_squared_error: 0.2398, root_mean_squared_error: 0.2398, root_relative_squared_error: 1,

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