Task
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 3899 Supervised Classification mozilla4 107074 runs submitted
0 likes downloaded by 3 people , 9 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 under100k under1m
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107074 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9299, f_measure: 0.935, kappa: 0.8529, kb_relative_information_score: 13157.6812, mean_absolute_error: 0.0643, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9351, predictive_accuracy: 0.9349, prior_entropy: 0.9135, recall: 0.9349, relative_absolute_error: 0.1456, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2512, root_relative_squared_error: 0.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9551, f_measure: 0.9326, kappa: 0.847, kb_relative_information_score: 12826.9422, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9325, predictive_accuracy: 0.9327, prior_entropy: 0.9135, recall: 0.9327, relative_absolute_error: 0.1685, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.4837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.9404, kappa: 0.8636, kb_relative_information_score: 12675.9235, mean_absolute_error: 0.0822, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.941, predictive_accuracy: 0.9409, prior_entropy: 0.9135, recall: 0.9409, relative_absolute_error: 0.1863, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.9306, kappa: 0.8427, kb_relative_information_score: 12880.2155, mean_absolute_error: 0.073, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9306, predictive_accuracy: 0.9306, prior_entropy: 0.9135, recall: 0.9306, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2276, root_relative_squared_error: 0.4846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.939, kappa: 0.8605, kb_relative_information_score: 12703.041, mean_absolute_error: 0.0808, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9395, predictive_accuracy: 0.9395, prior_entropy: 0.9135, recall: 0.9395, relative_absolute_error: 0.1832, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9314, kappa: 0.8445, kb_relative_information_score: 12871.2342, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9314, predictive_accuracy: 0.9315, prior_entropy: 0.9135, recall: 0.9315, relative_absolute_error: 0.1658, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.4826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9287, kappa: 0.8386, kb_relative_information_score: 12875.5175, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9288, predictive_accuracy: 0.9286, prior_entropy: 0.9135, recall: 0.9286, relative_absolute_error: 0.1645, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9328, kappa: 0.8476, kb_relative_information_score: 12927.3635, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9328, predictive_accuracy: 0.9329, prior_entropy: 0.9135, recall: 0.9329, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2262, root_relative_squared_error: 0.4816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.9395, kappa: 0.8619, kb_relative_information_score: 12753.8144, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9398, predictive_accuracy: 0.94, prior_entropy: 0.9135, recall: 0.94, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9368, kappa: 0.8558, kb_relative_information_score: 12730.0452, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.937, predictive_accuracy: 0.9372, prior_entropy: 0.9135, recall: 0.9372, relative_absolute_error: 0.1796, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9578, f_measure: 0.9327, kappa: 0.8472, kb_relative_information_score: 12896.8015, mean_absolute_error: 0.0726, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9326, predictive_accuracy: 0.9328, prior_entropy: 0.9135, recall: 0.9328, relative_absolute_error: 0.1646, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2234, root_relative_squared_error: 0.4756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9374, kappa: 0.8575, kb_relative_information_score: 12858.1715, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9375, predictive_accuracy: 0.9378, prior_entropy: 0.9135, recall: 0.9378, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9416, kappa: 0.8662, kb_relative_information_score: 12621.3711, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9429, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.1925, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9621, f_measure: 0.9376, kappa: 0.8577, kb_relative_information_score: 12858.9221, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9376, predictive_accuracy: 0.9379, prior_entropy: 0.9135, recall: 0.9379, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9413, kappa: 0.8655, kb_relative_information_score: 12630.0695, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9423, predictive_accuracy: 0.942, prior_entropy: 0.9135, recall: 0.942, relative_absolute_error: 0.1912, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9427, kappa: 0.8689, kb_relative_information_score: 12701.0471, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9439, predictive_accuracy: 0.9435, prior_entropy: 0.9135, recall: 0.9435, relative_absolute_error: 0.1851, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.9405, kappa: 0.8641, kb_relative_information_score: 12685.7156, mean_absolute_error: 0.0819, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9412, predictive_accuracy: 0.9411, prior_entropy: 0.9135, recall: 0.9411, relative_absolute_error: 0.1856, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.4689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9614, f_measure: 0.9376, kappa: 0.8579, kb_relative_information_score: 12855.99, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9377, predictive_accuracy: 0.938, prior_entropy: 0.9135, recall: 0.938, relative_absolute_error: 0.1701, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2181, root_relative_squared_error: 0.4643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.9418, kappa: 0.8668, kb_relative_information_score: 12713.8879, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9425, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.1845, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.9317, kappa: 0.8449, kb_relative_information_score: 12833.951, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9316, predictive_accuracy: 0.9318, prior_entropy: 0.9135, recall: 0.9318, relative_absolute_error: 0.1695, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2268, root_relative_squared_error: 0.4829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.9398, kappa: 0.8625, kb_relative_information_score: 12768.0442, mean_absolute_error: 0.0788, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9402, predictive_accuracy: 0.9403, prior_entropy: 0.9135, recall: 0.9403, relative_absolute_error: 0.1786, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9373, kappa: 0.8572, kb_relative_information_score: 12850.2321, mean_absolute_error: 0.0752, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9374, predictive_accuracy: 0.9377, prior_entropy: 0.9135, recall: 0.9377, relative_absolute_error: 0.1703, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9567, f_measure: 0.9364, kappa: 0.8551, kb_relative_information_score: 12799.7677, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9364, predictive_accuracy: 0.9367, prior_entropy: 0.9135, recall: 0.9367, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2238, root_relative_squared_error: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9338, kappa: 0.8495, kb_relative_information_score: 12862.7699, mean_absolute_error: 0.0743, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9337, predictive_accuracy: 0.934, prior_entropy: 0.9135, recall: 0.934, relative_absolute_error: 0.1684, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2196, root_relative_squared_error: 0.4674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.933, kappa: 0.8477, kb_relative_information_score: 12845.8473, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9329, predictive_accuracy: 0.9332, prior_entropy: 0.9135, recall: 0.9332, relative_absolute_error: 0.1693, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2202, root_relative_squared_error: 0.4687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.934, kappa: 0.8501, kb_relative_information_score: 12848.1241, mean_absolute_error: 0.0747, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9339, predictive_accuracy: 0.9342, prior_entropy: 0.9135, recall: 0.9342, relative_absolute_error: 0.1692, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9419, kappa: 0.867, kb_relative_information_score: 12716.8909, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9428, predictive_accuracy: 0.9426, prior_entropy: 0.9135, recall: 0.9426, relative_absolute_error: 0.1838, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9602, f_measure: 0.9416, kappa: 0.8663, kb_relative_information_score: 12709.3519, mean_absolute_error: 0.0816, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9423, predictive_accuracy: 0.9422, prior_entropy: 0.9135, recall: 0.9422, relative_absolute_error: 0.1848, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9416, kappa: 0.8662, kb_relative_information_score: 12625.3693, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9429, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9511, f_measure: 0.9328, kappa: 0.8475, kb_relative_information_score: 12910.1841, mean_absolute_error: 0.0721, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9327, predictive_accuracy: 0.9328, prior_entropy: 0.9135, recall: 0.9328, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.4921,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9417, kappa: 0.8665, kb_relative_information_score: 12654.8306, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9428, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.9301, kappa: 0.8417, kb_relative_information_score: 12911.8228, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9302, predictive_accuracy: 0.93, prior_entropy: 0.9135, recall: 0.93, relative_absolute_error: 0.1624, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.9395, kappa: 0.8619, kb_relative_information_score: 12706.4203, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.94, prior_entropy: 0.9135, recall: 0.94, relative_absolute_error: 0.1837, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.22, root_relative_squared_error: 0.4683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9396, kappa: 0.8621, kb_relative_information_score: 12763.7781, mean_absolute_error: 0.0789, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9401, predictive_accuracy: 0.9402, prior_entropy: 0.9135, recall: 0.9402, relative_absolute_error: 0.1788, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2167, root_relative_squared_error: 0.4613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9393, kappa: 0.8614, kb_relative_information_score: 12785.9641, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9396, predictive_accuracy: 0.9398, prior_entropy: 0.9135, recall: 0.9398, relative_absolute_error: 0.177, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.9421, kappa: 0.8674, kb_relative_information_score: 12743.7104, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9431, predictive_accuracy: 0.9427, prior_entropy: 0.9135, recall: 0.9427, relative_absolute_error: 0.1817, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2153, root_relative_squared_error: 0.4583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9599, f_measure: 0.9421, kappa: 0.8674, kb_relative_information_score: 12690.4002, mean_absolute_error: 0.0824, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9429, predictive_accuracy: 0.9427, prior_entropy: 0.9135, recall: 0.9427, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.9371, kappa: 0.8567, kb_relative_information_score: 12850.1179, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9372, predictive_accuracy: 0.9375, prior_entropy: 0.9135, recall: 0.9375, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2162, root_relative_squared_error: 0.4602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.9415, kappa: 0.8659, kb_relative_information_score: 12623.7019, mean_absolute_error: 0.0848, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9422, prior_entropy: 0.9135, recall: 0.9422, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9561, f_measure: 0.9353, kappa: 0.8526, kb_relative_information_score: 12735.505, mean_absolute_error: 0.0786, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9353, predictive_accuracy: 0.9356, prior_entropy: 0.9135, recall: 0.9356, relative_absolute_error: 0.1782, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.478,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9414, kappa: 0.8658, kb_relative_information_score: 12637.4288, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9422, prior_entropy: 0.9135, recall: 0.9422, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9415, kappa: 0.8661, kb_relative_information_score: 12651.6873, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9426, predictive_accuracy: 0.9422, prior_entropy: 0.9135, recall: 0.9422, relative_absolute_error: 0.1892, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4657,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.9388, kappa: 0.8603, kb_relative_information_score: 12773.0357, mean_absolute_error: 0.0784, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9391, predictive_accuracy: 0.9393, prior_entropy: 0.9135, recall: 0.9393, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9442, f_measure: 0.9328, kappa: 0.8479, kb_relative_information_score: 13059.3573, mean_absolute_error: 0.067, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9329, predictive_accuracy: 0.9326, prior_entropy: 0.9135, recall: 0.9326, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.5049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9408, kappa: 0.8646, kb_relative_information_score: 12749.5778, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9415, predictive_accuracy: 0.9414, prior_entropy: 0.9135, recall: 0.9414, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9541, f_measure: 0.9323, kappa: 0.8464, kb_relative_information_score: 12908.2537, mean_absolute_error: 0.072, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9323, predictive_accuracy: 0.9324, prior_entropy: 0.9135, recall: 0.9324, relative_absolute_error: 0.1632, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2272, root_relative_squared_error: 0.4838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9319, kappa: 0.8454, kb_relative_information_score: 12810.3548, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9319, predictive_accuracy: 0.9321, prior_entropy: 0.9135, recall: 0.9321, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2255, root_relative_squared_error: 0.4801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.9334, kappa: 0.8486, kb_relative_information_score: 12874.6397, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9333, predictive_accuracy: 0.9335, prior_entropy: 0.9135, recall: 0.9335, relative_absolute_error: 0.1669, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2212, root_relative_squared_error: 0.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9419, kappa: 0.867, kb_relative_information_score: 12715.8095, mean_absolute_error: 0.0811, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9428, predictive_accuracy: 0.9426, prior_entropy: 0.9135, recall: 0.9426, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9353, kappa: 0.8528, kb_relative_information_score: 12741.349, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9353, predictive_accuracy: 0.9357, prior_entropy: 0.9135, recall: 0.9357, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9593, f_measure: 0.934, kappa: 0.8501, kb_relative_information_score: 12875.4245, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.934, predictive_accuracy: 0.9343, prior_entropy: 0.9135, recall: 0.9343, relative_absolute_error: 0.1668, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9317, kappa: 0.8453, kb_relative_information_score: 12924.4135, mean_absolute_error: 0.0713, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9317, predictive_accuracy: 0.9317, prior_entropy: 0.9135, recall: 0.9317, relative_absolute_error: 0.1615, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2298, root_relative_squared_error: 0.4893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9538, f_measure: 0.9313, kappa: 0.8442, kb_relative_information_score: 12874.6009, mean_absolute_error: 0.0729, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9313, predictive_accuracy: 0.9313, prior_entropy: 0.9135, recall: 0.9313, relative_absolute_error: 0.1652, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9404, kappa: 0.8637, kb_relative_information_score: 12741.067, mean_absolute_error: 0.0799, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9411, predictive_accuracy: 0.941, prior_entropy: 0.9135, recall: 0.941, relative_absolute_error: 0.181, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2158, root_relative_squared_error: 0.4594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9417, kappa: 0.8667, kb_relative_information_score: 12679.9608, mean_absolute_error: 0.0828, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9425, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.218, root_relative_squared_error: 0.4642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9611, f_measure: 0.9413, kappa: 0.8655, kb_relative_information_score: 12632.3159, mean_absolute_error: 0.0845, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9425, predictive_accuracy: 0.942, prior_entropy: 0.9135, recall: 0.942, relative_absolute_error: 0.1915, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9371, kappa: 0.8565, kb_relative_information_score: 12731.6649, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9373, predictive_accuracy: 0.9375, prior_entropy: 0.9135, recall: 0.9375, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9559, f_measure: 0.9355, kappa: 0.8533, kb_relative_information_score: 12911.5275, mean_absolute_error: 0.0727, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9354, predictive_accuracy: 0.9357, prior_entropy: 0.9135, recall: 0.9357, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2241, root_relative_squared_error: 0.4771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.942, kappa: 0.8673, kb_relative_information_score: 12692.0687, mean_absolute_error: 0.0823, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9428, predictive_accuracy: 0.9426, prior_entropy: 0.9135, recall: 0.9426, relative_absolute_error: 0.1865, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9605, f_measure: 0.9395, kappa: 0.8619, kb_relative_information_score: 12703.3787, mean_absolute_error: 0.0812, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9399, predictive_accuracy: 0.94, prior_entropy: 0.9135, recall: 0.94, relative_absolute_error: 0.1839, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2199, root_relative_squared_error: 0.4682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9326, kappa: 0.847, kb_relative_information_score: 12922.1448, mean_absolute_error: 0.0715, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9325, predictive_accuracy: 0.9326, prior_entropy: 0.9135, recall: 0.9326, relative_absolute_error: 0.162, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2266, root_relative_squared_error: 0.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9418, kappa: 0.8669, kb_relative_information_score: 12676.7681, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9426, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.1879, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9576, f_measure: 0.939, kappa: 0.8609, kb_relative_information_score: 12753.672, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9394, predictive_accuracy: 0.9395, prior_entropy: 0.9135, recall: 0.9395, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2214, root_relative_squared_error: 0.4714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.9343, kappa: 0.8509, kb_relative_information_score: 12952.2673, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9342, predictive_accuracy: 0.9344, prior_entropy: 0.9135, recall: 0.9344, relative_absolute_error: 0.1604, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2277, root_relative_squared_error: 0.4849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9643, f_measure: 0.9384, kappa: 0.8596, kb_relative_information_score: 12807.5007, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9387, predictive_accuracy: 0.9389, prior_entropy: 0.9135, recall: 0.9389, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.217, root_relative_squared_error: 0.4619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9396, kappa: 0.862, kb_relative_information_score: 12771.0989, mean_absolute_error: 0.0787, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.94, predictive_accuracy: 0.9401, prior_entropy: 0.9135, recall: 0.9401, relative_absolute_error: 0.1783, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9373, kappa: 0.8571, kb_relative_information_score: 12851.6427, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9374, predictive_accuracy: 0.9377, prior_entropy: 0.9135, recall: 0.9377, relative_absolute_error: 0.1702, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.9327, kappa: 0.8473, kb_relative_information_score: 12899.0312, mean_absolute_error: 0.0724, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9326, predictive_accuracy: 0.9328, prior_entropy: 0.9135, recall: 0.9328, relative_absolute_error: 0.1641, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2289, root_relative_squared_error: 0.4873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9497, f_measure: 0.932, kappa: 0.8458, kb_relative_information_score: 12968.5942, mean_absolute_error: 0.07, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.932, predictive_accuracy: 0.9319, prior_entropy: 0.9135, recall: 0.9319, relative_absolute_error: 0.1586, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2324, root_relative_squared_error: 0.4948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.946, f_measure: 0.9327, kappa: 0.8477, kb_relative_information_score: 13009.5737, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9328, predictive_accuracy: 0.9327, prior_entropy: 0.9135, recall: 0.9327, relative_absolute_error: 0.1553, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2355, root_relative_squared_error: 0.5014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.9377, kappa: 0.8578, kb_relative_information_score: 12739.5659, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9379, predictive_accuracy: 0.9381, prior_entropy: 0.9135, recall: 0.9381, relative_absolute_error: 0.1794, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2228, root_relative_squared_error: 0.4744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9556, f_measure: 0.9352, kappa: 0.8526, kb_relative_information_score: 12911.3988, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9351, predictive_accuracy: 0.9353, prior_entropy: 0.9135, recall: 0.9353, relative_absolute_error: 0.1644, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2249, root_relative_squared_error: 0.4787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.9379, kappa: 0.8582, kb_relative_information_score: 12807.8175, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9381, predictive_accuracy: 0.9383, prior_entropy: 0.9135, recall: 0.9383, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.218, root_relative_squared_error: 0.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9418, kappa: 0.8668, kb_relative_information_score: 12735.6753, mean_absolute_error: 0.0804, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9428, predictive_accuracy: 0.9425, prior_entropy: 0.9135, recall: 0.9425, relative_absolute_error: 0.1821, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.9412, kappa: 0.8654, kb_relative_information_score: 12632.5006, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9423, predictive_accuracy: 0.9419, prior_entropy: 0.9135, recall: 0.9419, relative_absolute_error: 0.1911, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.9381, kappa: 0.8589, kb_relative_information_score: 12814.3522, mean_absolute_error: 0.0768, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9383, predictive_accuracy: 0.9386, prior_entropy: 0.9135, recall: 0.9386, relative_absolute_error: 0.1741, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2175, root_relative_squared_error: 0.4631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9381, kappa: 0.8589, kb_relative_information_score: 12803.837, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9383, predictive_accuracy: 0.9386, prior_entropy: 0.9135, recall: 0.9386, relative_absolute_error: 0.1753, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.938, kappa: 0.8586, kb_relative_information_score: 12810.4781, mean_absolute_error: 0.0769, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9382, predictive_accuracy: 0.9384, prior_entropy: 0.9135, recall: 0.9384, relative_absolute_error: 0.1743, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.9331, kappa: 0.8483, kb_relative_information_score: 12931.4053, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9331, predictive_accuracy: 0.9332, prior_entropy: 0.9135, recall: 0.9332, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.231, root_relative_squared_error: 0.4919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.9372, kappa: 0.8569, kb_relative_information_score: 12854.0667, mean_absolute_error: 0.075, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9372, predictive_accuracy: 0.9375, prior_entropy: 0.9135, recall: 0.9375, relative_absolute_error: 0.1699, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9413, kappa: 0.8655, kb_relative_information_score: 12634.816, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9425, predictive_accuracy: 0.942, prior_entropy: 0.9135, recall: 0.942, relative_absolute_error: 0.1913, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9416, kappa: 0.8663, kb_relative_information_score: 12655.0765, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9423, prior_entropy: 0.9135, recall: 0.9423, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2185, root_relative_squared_error: 0.4652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9589, f_measure: 0.9388, kappa: 0.8601, kb_relative_information_score: 12710.3679, mean_absolute_error: 0.0805, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9393, predictive_accuracy: 0.9393, prior_entropy: 0.9135, recall: 0.9393, relative_absolute_error: 0.1825, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.4717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9431, kappa: 0.8696, kb_relative_information_score: 12703.7311, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9443, predictive_accuracy: 0.9438, prior_entropy: 0.9135, recall: 0.9438, relative_absolute_error: 0.185, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.9417, kappa: 0.8664, kb_relative_information_score: 12629.7549, mean_absolute_error: 0.0847, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9429, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.192, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2182, root_relative_squared_error: 0.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.9325, kappa: 0.847, kb_relative_information_score: 12969.4959, mean_absolute_error: 0.0701, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9325, predictive_accuracy: 0.9325, prior_entropy: 0.9135, recall: 0.9325, relative_absolute_error: 0.1588, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2315, root_relative_squared_error: 0.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.94, kappa: 0.8628, kb_relative_information_score: 12749.4764, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9406, predictive_accuracy: 0.9406, prior_entropy: 0.9135, recall: 0.9406, relative_absolute_error: 0.18, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2163, root_relative_squared_error: 0.4605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.9419, kappa: 0.8671, kb_relative_information_score: 12739.8071, mean_absolute_error: 0.0803, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9429, predictive_accuracy: 0.9426, prior_entropy: 0.9135, recall: 0.9426, relative_absolute_error: 0.1819, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.9417, kappa: 0.8665, kb_relative_information_score: 12654.5152, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9428, predictive_accuracy: 0.9424, prior_entropy: 0.9135, recall: 0.9424, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2186, root_relative_squared_error: 0.4655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9571, f_measure: 0.9373, kappa: 0.8569, kb_relative_information_score: 12733.0185, mean_absolute_error: 0.0793, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9375, predictive_accuracy: 0.9377, prior_entropy: 0.9135, recall: 0.9377, relative_absolute_error: 0.1797, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2232, root_relative_squared_error: 0.4752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9583, f_measure: 0.9394, kappa: 0.8618, kb_relative_information_score: 12758.8676, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9397, predictive_accuracy: 0.9399, prior_entropy: 0.9135, recall: 0.9399, relative_absolute_error: 0.1793, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2209, root_relative_squared_error: 0.4703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9519, f_measure: 0.9295, kappa: 0.8403, kb_relative_information_score: 12875.9297, mean_absolute_error: 0.0728, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9295, predictive_accuracy: 0.9295, prior_entropy: 0.9135, recall: 0.9295, relative_absolute_error: 0.1651, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2292, root_relative_squared_error: 0.4879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9617, f_measure: 0.9416, kappa: 0.8663, kb_relative_information_score: 12654.976, mean_absolute_error: 0.0834, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9427, predictive_accuracy: 0.9423, prior_entropy: 0.9135, recall: 0.9423, relative_absolute_error: 0.1891, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2184, root_relative_squared_error: 0.4651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.9403, kappa: 0.8636, kb_relative_information_score: 12743.5719, mean_absolute_error: 0.0798, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.941, predictive_accuracy: 0.9409, prior_entropy: 0.9135, recall: 0.9409, relative_absolute_error: 0.1808, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2156, root_relative_squared_error: 0.4591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9419, kappa: 0.8671, kb_relative_information_score: 12740.3307, mean_absolute_error: 0.0802, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9429, predictive_accuracy: 0.9426, prior_entropy: 0.9135, recall: 0.9426, relative_absolute_error: 0.1818, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2155, root_relative_squared_error: 0.4587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9388, kappa: 0.8603, kb_relative_information_score: 12821.2885, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.939, predictive_accuracy: 0.9392, prior_entropy: 0.9135, recall: 0.9392, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2164, root_relative_squared_error: 0.4606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9585, f_measure: 0.9392, kappa: 0.8613, kb_relative_information_score: 12756.0099, mean_absolute_error: 0.0792, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9396, predictive_accuracy: 0.9397, prior_entropy: 0.9135, recall: 0.9397, relative_absolute_error: 0.1795, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.9353, kappa: 0.8528, kb_relative_information_score: 12739.5091, mean_absolute_error: 0.0785, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9353, predictive_accuracy: 0.9357, prior_entropy: 0.9135, recall: 0.9357, relative_absolute_error: 0.1779, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2246, root_relative_squared_error: 0.4782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.9374, kappa: 0.8573, kb_relative_information_score: 12852.2571, mean_absolute_error: 0.0754, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9374, predictive_accuracy: 0.9377, prior_entropy: 0.9135, recall: 0.9377, relative_absolute_error: 0.171, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2161, root_relative_squared_error: 0.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9545, f_measure: 0.9332, kappa: 0.8483, kb_relative_information_score: 12832.7954, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9331, predictive_accuracy: 0.9333, prior_entropy: 0.9135, recall: 0.9333, relative_absolute_error: 0.1683, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.2273, root_relative_squared_error: 0.484,

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