Task
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77734 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.962, f_measure: 0.8963, kappa: 0.7877, kb_relative_information_score: 31421.6286, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8963, predictive_accuracy: 0.8964, prior_entropy: 0.9835, recall: 0.8964, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.959, f_measure: 0.8888, kappa: 0.7722, kb_relative_information_score: 28469.2081, mean_absolute_error: 0.1959, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8889, predictive_accuracy: 0.889, prior_entropy: 0.9835, recall: 0.889, relative_absolute_error: 0.401, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.5832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.939, f_measure: 0.8596, kappa: 0.7116, kb_relative_information_score: 23505.0477, mean_absolute_error: 0.2545, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8609, predictive_accuracy: 0.8606, prior_entropy: 0.9835, recall: 0.8606, relative_absolute_error: 0.5208, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8772, kappa: 0.7481, kb_relative_information_score: 26772.9803, mean_absolute_error: 0.2157, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8773, predictive_accuracy: 0.8775, prior_entropy: 0.9835, recall: 0.8775, relative_absolute_error: 0.4414, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3015, root_relative_squared_error: 0.6101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8731, kappa: 0.7395, kb_relative_information_score: 25649.6574, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8737, predictive_accuracy: 0.8737, prior_entropy: 0.9835, recall: 0.8737, relative_absolute_error: 0.4707, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3069, root_relative_squared_error: 0.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9539, f_measure: 0.8791, kappa: 0.7521, kb_relative_information_score: 27022.3618, mean_absolute_error: 0.2128, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8793, predictive_accuracy: 0.8795, prior_entropy: 0.9835, recall: 0.8795, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9568, f_measure: 0.8851, kappa: 0.764, kb_relative_information_score: 26805.7513, mean_absolute_error: 0.2175, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8856, predictive_accuracy: 0.8855, prior_entropy: 0.9835, recall: 0.8855, relative_absolute_error: 0.4452, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.296, root_relative_squared_error: 0.5988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.9018, kappa: 0.7989, kb_relative_information_score: 32377.5614, mean_absolute_error: 0.1481, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9018, predictive_accuracy: 0.9018, prior_entropy: 0.9835, recall: 0.9018, relative_absolute_error: 0.303, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.267, root_relative_squared_error: 0.5403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9427, f_measure: 0.8633, kappa: 0.7192, kb_relative_information_score: 24215.254, mean_absolute_error: 0.2463, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8645, predictive_accuracy: 0.8642, prior_entropy: 0.9835, recall: 0.8642, relative_absolute_error: 0.5042, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3186, root_relative_squared_error: 0.6445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9299, kappa: 0.8564, kb_relative_information_score: 34363.9389, mean_absolute_error: 0.1285, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9299, predictive_accuracy: 0.9299, prior_entropy: 0.9835, recall: 0.9299, relative_absolute_error: 0.2629, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2326, root_relative_squared_error: 0.4705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8784, kappa: 0.7506, kb_relative_information_score: 27192.9631, mean_absolute_error: 0.2106, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8785, predictive_accuracy: 0.8787, prior_entropy: 0.9835, recall: 0.8787, relative_absolute_error: 0.431, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2984, root_relative_squared_error: 0.6038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9466, f_measure: 0.8681, kappa: 0.729, kb_relative_information_score: 24896.6973, mean_absolute_error: 0.2388, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.869, predictive_accuracy: 0.8688, prior_entropy: 0.9835, recall: 0.8688, relative_absolute_error: 0.4888, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3127, root_relative_squared_error: 0.6326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9083, kappa: 0.8122, kb_relative_information_score: 31304.838, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9083, predictive_accuracy: 0.9084, prior_entropy: 0.9835, recall: 0.9084, relative_absolute_error: 0.3347, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2627, root_relative_squared_error: 0.5314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9691, f_measure: 0.9048, kappa: 0.8049, kb_relative_information_score: 30198.0086, mean_absolute_error: 0.1772, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9048, predictive_accuracy: 0.9049, prior_entropy: 0.9835, recall: 0.9049, relative_absolute_error: 0.3626, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2694, root_relative_squared_error: 0.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.8874, kappa: 0.7692, kb_relative_information_score: 28295.4444, mean_absolute_error: 0.1978, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8874, predictive_accuracy: 0.8876, prior_entropy: 0.9835, recall: 0.8876, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.873, kappa: 0.7394, kb_relative_information_score: 26356.8759, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8733, predictive_accuracy: 0.8734, prior_entropy: 0.9835, recall: 0.8734, relative_absolute_error: 0.451, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3053, root_relative_squared_error: 0.6178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9736, f_measure: 0.9141, kappa: 0.824, kb_relative_information_score: 31595.4733, mean_absolute_error: 0.161, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9141, predictive_accuracy: 0.9142, prior_entropy: 0.9835, recall: 0.9142, relative_absolute_error: 0.3294, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.257, root_relative_squared_error: 0.52,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9572, f_measure: 0.8868, kappa: 0.7681, kb_relative_information_score: 28489.4142, mean_absolute_error: 0.1954, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8868, predictive_accuracy: 0.8869, prior_entropy: 0.9835, recall: 0.8869, relative_absolute_error: 0.3999, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.5863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9438, f_measure: 0.8656, kappa: 0.7238, kb_relative_information_score: 24241.2369, mean_absolute_error: 0.2465, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8666, predictive_accuracy: 0.8664, prior_entropy: 0.9835, recall: 0.8664, relative_absolute_error: 0.5045, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.968, f_measure: 0.9051, kappa: 0.8056, kb_relative_information_score: 33227.1311, mean_absolute_error: 0.1377, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.905, predictive_accuracy: 0.9051, prior_entropy: 0.9835, recall: 0.9051, relative_absolute_error: 0.2818, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9687, f_measure: 0.9045, kappa: 0.8045, kb_relative_information_score: 31578.5795, mean_absolute_error: 0.1591, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9045, predictive_accuracy: 0.9045, prior_entropy: 0.9835, recall: 0.9045, relative_absolute_error: 0.3257, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2648, root_relative_squared_error: 0.5358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9732, f_measure: 0.9121, kappa: 0.8198, kb_relative_information_score: 31215.2565, mean_absolute_error: 0.1657, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9121, predictive_accuracy: 0.9122, prior_entropy: 0.9835, recall: 0.9122, relative_absolute_error: 0.3391, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2593, root_relative_squared_error: 0.5246,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9517, f_measure: 0.8774, kappa: 0.7486, kb_relative_information_score: 26923.6438, mean_absolute_error: 0.2137, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8775, predictive_accuracy: 0.8778, prior_entropy: 0.9835, recall: 0.8778, relative_absolute_error: 0.4374, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9722, f_measure: 0.911, kappa: 0.8177, kb_relative_information_score: 31771.2625, mean_absolute_error: 0.1581, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9109, predictive_accuracy: 0.911, prior_entropy: 0.9835, recall: 0.911, relative_absolute_error: 0.3236, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2585, root_relative_squared_error: 0.5229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.901, kappa: 0.7971, kb_relative_information_score: 29861.5247, mean_absolute_error: 0.1807, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9009, predictive_accuracy: 0.9011, prior_entropy: 0.9835, recall: 0.9011, relative_absolute_error: 0.3699, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.5536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.873, kappa: 0.7393, kb_relative_information_score: 25660.4063, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8736, predictive_accuracy: 0.8736, prior_entropy: 0.9835, recall: 0.8736, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.307, root_relative_squared_error: 0.6211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9122, kappa: 0.8202, kb_relative_information_score: 31871.4535, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9122, predictive_accuracy: 0.9123, prior_entropy: 0.9835, recall: 0.9123, relative_absolute_error: 0.3216, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9655, f_measure: 0.8992, kappa: 0.7936, kb_relative_information_score: 29985.9491, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8992, predictive_accuracy: 0.8993, prior_entropy: 0.9835, recall: 0.8993, relative_absolute_error: 0.3655, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2749, root_relative_squared_error: 0.5561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9758, f_measure: 0.9179, kappa: 0.832, kb_relative_information_score: 32486.0874, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9179, predictive_accuracy: 0.918, prior_entropy: 0.9835, recall: 0.918, relative_absolute_error: 0.3078, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9094, kappa: 0.8144, kb_relative_information_score: 31095.1832, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9093, predictive_accuracy: 0.9094, prior_entropy: 0.9835, recall: 0.9094, relative_absolute_error: 0.3405, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.263, root_relative_squared_error: 0.5321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9448, f_measure: 0.8653, kappa: 0.7233, kb_relative_information_score: 24801.5508, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8661, predictive_accuracy: 0.866, prior_entropy: 0.9835, recall: 0.866, relative_absolute_error: 0.4893, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.315, root_relative_squared_error: 0.6374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8706, kappa: 0.7341, kb_relative_information_score: 25022.1939, mean_absolute_error: 0.2375, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8716, predictive_accuracy: 0.8713, prior_entropy: 0.9835, recall: 0.8713, relative_absolute_error: 0.4861, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8818, kappa: 0.7573, kb_relative_information_score: 26719.1019, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8822, predictive_accuracy: 0.8822, prior_entropy: 0.9835, recall: 0.8822, relative_absolute_error: 0.4459, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8798, kappa: 0.7536, kb_relative_information_score: 27476.601, mean_absolute_error: 0.2071, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8798, predictive_accuracy: 0.88, prior_entropy: 0.9835, recall: 0.88, relative_absolute_error: 0.4238, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.6024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9537, f_measure: 0.8799, kappa: 0.7534, kb_relative_information_score: 26133.0168, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8805, predictive_accuracy: 0.8805, prior_entropy: 0.9835, recall: 0.8805, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3016, root_relative_squared_error: 0.6102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -23.7277, mean_absolute_error: 0.4888, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4943, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8628, kappa: 0.7181, kb_relative_information_score: 23753.4361, mean_absolute_error: 0.2519, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8639, predictive_accuracy: 0.8637, prior_entropy: 0.9835, recall: 0.8637, relative_absolute_error: 0.5155, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3217, root_relative_squared_error: 0.6509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9609, f_measure: 0.8922, kappa: 0.7791, kb_relative_information_score: 28848.1803, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8922, predictive_accuracy: 0.8923, prior_entropy: 0.9835, recall: 0.8923, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2846, root_relative_squared_error: 0.5758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.8909, kappa: 0.7761, kb_relative_information_score: 27902.043, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8913, predictive_accuracy: 0.8913, prior_entropy: 0.9835, recall: 0.8913, relative_absolute_error: 0.4191, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2869, root_relative_squared_error: 0.5804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9022, kappa: 0.7997, kb_relative_information_score: 32936.46, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9021, predictive_accuracy: 0.9022, prior_entropy: 0.9835, recall: 0.9022, relative_absolute_error: 0.2887, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2645, root_relative_squared_error: 0.5352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.9048, kappa: 0.8049, kb_relative_information_score: 30365.0867, mean_absolute_error: 0.1751, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9048, predictive_accuracy: 0.9049, prior_entropy: 0.9835, recall: 0.9049, relative_absolute_error: 0.3584, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.5445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9632, f_measure: 0.8932, kappa: 0.7809, kb_relative_information_score: 28267.5049, mean_absolute_error: 0.2005, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8935, predictive_accuracy: 0.8936, prior_entropy: 0.9835, recall: 0.8936, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2838, root_relative_squared_error: 0.5742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8548, kappa: 0.7016, kb_relative_information_score: 23567.6972, mean_absolute_error: 0.2528, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.856, predictive_accuracy: 0.8558, prior_entropy: 0.9835, recall: 0.8558, relative_absolute_error: 0.5173, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.326, root_relative_squared_error: 0.6595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9282, f_measure: 0.8453, kappa: 0.6819, kb_relative_information_score: 22003.4864, mean_absolute_error: 0.2708, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8473, predictive_accuracy: 0.8466, prior_entropy: 0.9835, recall: 0.8466, relative_absolute_error: 0.5542, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3372, root_relative_squared_error: 0.6822,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9338, kappa: 0.8644, kb_relative_information_score: 34523.9307, mean_absolute_error: 0.1272, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9337, predictive_accuracy: 0.9338, prior_entropy: 0.9835, recall: 0.9338, relative_absolute_error: 0.2603, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2284, root_relative_squared_error: 0.4621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8896, kappa: 0.7738, kb_relative_information_score: 28437.7815, mean_absolute_error: 0.1965, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8896, predictive_accuracy: 0.8898, prior_entropy: 0.9835, recall: 0.8898, relative_absolute_error: 0.4021, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.288, root_relative_squared_error: 0.5827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8827, kappa: 0.7597, kb_relative_information_score: 27832.1168, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8827, predictive_accuracy: 0.8829, prior_entropy: 0.9835, recall: 0.8829, relative_absolute_error: 0.4156, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.294, root_relative_squared_error: 0.5948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.8631, kappa: 0.7186, kb_relative_information_score: 23917.796, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8643, predictive_accuracy: 0.864, prior_entropy: 0.9835, recall: 0.864, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3204, root_relative_squared_error: 0.6482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.9049, kappa: 0.8052, kb_relative_information_score: 30141.2446, mean_absolute_error: 0.1778, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9049, predictive_accuracy: 0.905, prior_entropy: 0.9835, recall: 0.905, relative_absolute_error: 0.3639, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2706, root_relative_squared_error: 0.5475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8941, kappa: 0.7831, kb_relative_information_score: 29387.6731, mean_absolute_error: 0.1852, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8941, predictive_accuracy: 0.8942, prior_entropy: 0.9835, recall: 0.8942, relative_absolute_error: 0.3791, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2809, root_relative_squared_error: 0.5684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9522, f_measure: 0.8767, kappa: 0.7467, kb_relative_information_score: 25811.9312, mean_absolute_error: 0.2286, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8774, predictive_accuracy: 0.8773, prior_entropy: 0.9835, recall: 0.8773, relative_absolute_error: 0.468, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3044, root_relative_squared_error: 0.6159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.8894, kappa: 0.7733, kb_relative_information_score: 28138.3393, mean_absolute_error: 0.2007, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8895, predictive_accuracy: 0.8897, prior_entropy: 0.9835, recall: 0.8897, relative_absolute_error: 0.4107, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.5832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9478, f_measure: 0.8716, kappa: 0.7366, kb_relative_information_score: 26157.2569, mean_absolute_error: 0.2225, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8718, predictive_accuracy: 0.872, prior_entropy: 0.9835, recall: 0.872, relative_absolute_error: 0.4553, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3074, root_relative_squared_error: 0.6219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9164, kappa: 0.8288, kb_relative_information_score: 32103.2133, mean_absolute_error: 0.1552, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9164, predictive_accuracy: 0.9165, prior_entropy: 0.9835, recall: 0.9165, relative_absolute_error: 0.3176, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9228, f_measure: 0.8396, kappa: 0.6701, kb_relative_information_score: 21313.8177, mean_absolute_error: 0.2785, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8417, predictive_accuracy: 0.8411, prior_entropy: 0.9835, recall: 0.8411, relative_absolute_error: 0.5699, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.343, root_relative_squared_error: 0.6939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8617, kappa: 0.7159, kb_relative_information_score: 23938.0076, mean_absolute_error: 0.2494, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8629, predictive_accuracy: 0.8626, prior_entropy: 0.9835, recall: 0.8626, relative_absolute_error: 0.5104, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.321, root_relative_squared_error: 0.6494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9491, f_measure: 0.8718, kappa: 0.7367, kb_relative_information_score: 25547.0951, mean_absolute_error: 0.2311, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8725, predictive_accuracy: 0.8724, prior_entropy: 0.9835, recall: 0.8724, relative_absolute_error: 0.4729, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3083, root_relative_squared_error: 0.6237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9656, f_measure: 0.899, kappa: 0.7932, kb_relative_information_score: 30258.9584, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.899, predictive_accuracy: 0.8991, prior_entropy: 0.9835, recall: 0.8991, relative_absolute_error: 0.3585, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2736, root_relative_squared_error: 0.5535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9676, f_measure: 0.9025, kappa: 0.8004, kb_relative_information_score: 30496.9353, mean_absolute_error: 0.1728, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9025, predictive_accuracy: 0.9026, prior_entropy: 0.9835, recall: 0.9026, relative_absolute_error: 0.3536, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2701, root_relative_squared_error: 0.5465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9425, f_measure: 0.8637, kappa: 0.7199, kb_relative_information_score: 24145.4843, mean_absolute_error: 0.2472, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8648, predictive_accuracy: 0.8646, prior_entropy: 0.9835, recall: 0.8646, relative_absolute_error: 0.5059, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.319, root_relative_squared_error: 0.6454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9634, f_measure: 0.8953, kappa: 0.7853, kb_relative_information_score: 28916.2905, mean_absolute_error: 0.1917, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8953, predictive_accuracy: 0.8954, prior_entropy: 0.9835, recall: 0.8954, relative_absolute_error: 0.3924, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2814, root_relative_squared_error: 0.5694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.894, kappa: 0.7827, kb_relative_information_score: 28608.6296, mean_absolute_error: 0.1956, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8941, predictive_accuracy: 0.8942, prior_entropy: 0.9835, recall: 0.8942, relative_absolute_error: 0.4002, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2835, root_relative_squared_error: 0.5736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9636, f_measure: 0.8973, kappa: 0.7897, kb_relative_information_score: 29700.4202, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8973, predictive_accuracy: 0.8975, prior_entropy: 0.9835, recall: 0.8975, relative_absolute_error: 0.3723, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.278, root_relative_squared_error: 0.5624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.96, f_measure: 0.888, kappa: 0.7702, kb_relative_information_score: 27807.908, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8882, predictive_accuracy: 0.8883, prior_entropy: 0.9835, recall: 0.8883, relative_absolute_error: 0.4195, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2895, root_relative_squared_error: 0.5857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9056, kappa: 0.8066, kb_relative_information_score: 30325.1443, mean_absolute_error: 0.1755, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9056, predictive_accuracy: 0.9057, prior_entropy: 0.9835, recall: 0.9057, relative_absolute_error: 0.3591, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.269, root_relative_squared_error: 0.5442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9258, f_measure: 0.8423, kappa: 0.6756, kb_relative_information_score: 21742.1055, mean_absolute_error: 0.2735, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8442, predictive_accuracy: 0.8436, prior_entropy: 0.9835, recall: 0.8436, relative_absolute_error: 0.5597, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.6873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.9081, kappa: 0.8116, kb_relative_information_score: 30465.9076, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9081, predictive_accuracy: 0.9082, prior_entropy: 0.9835, recall: 0.9082, relative_absolute_error: 0.3575, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2656, root_relative_squared_error: 0.5373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9428, f_measure: 0.8625, kappa: 0.7176, kb_relative_information_score: 24501.0407, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8633, predictive_accuracy: 0.8633, prior_entropy: 0.9835, recall: 0.8633, relative_absolute_error: 0.4965, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3175, root_relative_squared_error: 0.6424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9759, f_measure: 0.9172, kappa: 0.8303, kb_relative_information_score: 31865.661, mean_absolute_error: 0.1585, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9172, predictive_accuracy: 0.9173, prior_entropy: 0.9835, recall: 0.9173, relative_absolute_error: 0.3243, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9649, f_measure: 0.8978, kappa: 0.7905, kb_relative_information_score: 29320.1207, mean_absolute_error: 0.187, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8978, predictive_accuracy: 0.8979, prior_entropy: 0.9835, recall: 0.8979, relative_absolute_error: 0.3826, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2782, root_relative_squared_error: 0.5628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9162, kappa: 0.8284, kb_relative_information_score: 32176.0084, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9162, predictive_accuracy: 0.9163, prior_entropy: 0.9835, recall: 0.9163, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2528, root_relative_squared_error: 0.5114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9022, kappa: 0.7997, kb_relative_information_score: 30786.1172, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9022, predictive_accuracy: 0.9023, prior_entropy: 0.9835, recall: 0.9023, relative_absolute_error: 0.3456, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2708, root_relative_squared_error: 0.5479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.964, f_measure: 0.8957, kappa: 0.7859, kb_relative_information_score: 28553.0072, mean_absolute_error: 0.197, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8961, predictive_accuracy: 0.896, prior_entropy: 0.9835, recall: 0.896, relative_absolute_error: 0.4032, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2819, root_relative_squared_error: 0.5703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9317, f_measure: 0.8496, kappa: 0.6909, kb_relative_information_score: 22576.1041, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8512, predictive_accuracy: 0.8508, prior_entropy: 0.9835, recall: 0.8508, relative_absolute_error: 0.5414, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.6729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8761, kappa: 0.746, kb_relative_information_score: 27134.3676, mean_absolute_error: 0.2108, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8761, predictive_accuracy: 0.8764, prior_entropy: 0.9835, recall: 0.8764, relative_absolute_error: 0.4314, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3011, root_relative_squared_error: 0.6091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9434, f_measure: 0.8657, kappa: 0.7244, kb_relative_information_score: 25490.0633, mean_absolute_error: 0.2298, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.866, predictive_accuracy: 0.8662, prior_entropy: 0.9835, recall: 0.8662, relative_absolute_error: 0.4702, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3136, root_relative_squared_error: 0.6345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9533, f_measure: 0.8787, kappa: 0.7512, kb_relative_information_score: 27008.1815, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8789, predictive_accuracy: 0.8791, prior_entropy: 0.9835, recall: 0.8791, relative_absolute_error: 0.4362, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2992, root_relative_squared_error: 0.6054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9743, f_measure: 0.9147, kappa: 0.8254, kb_relative_information_score: 34348.4599, mean_absolute_error: 0.1252, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9147, predictive_accuracy: 0.9148, prior_entropy: 0.9835, recall: 0.9148, relative_absolute_error: 0.2563, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2475, root_relative_squared_error: 0.5006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9681, f_measure: 0.9052, kappa: 0.8058, kb_relative_information_score: 30871.9204, mean_absolute_error: 0.1686, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9051, predictive_accuracy: 0.9052, prior_entropy: 0.9835, recall: 0.9052, relative_absolute_error: 0.345, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2674, root_relative_squared_error: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9221, kappa: 0.8405, kb_relative_information_score: 33199.7954, mean_absolute_error: 0.142, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9221, predictive_accuracy: 0.9222, prior_entropy: 0.9835, recall: 0.9222, relative_absolute_error: 0.2906, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2437, root_relative_squared_error: 0.4929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.8869, kappa: 0.7683, kb_relative_information_score: 28379.5782, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8869, predictive_accuracy: 0.8871, prior_entropy: 0.9835, recall: 0.8871, relative_absolute_error: 0.4028, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2901, root_relative_squared_error: 0.5869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.926, kappa: 0.8485, kb_relative_information_score: 33571.9956, mean_absolute_error: 0.1382, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.926, predictive_accuracy: 0.9261, prior_entropy: 0.9835, recall: 0.9261, relative_absolute_error: 0.2828, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.238, root_relative_squared_error: 0.4815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.98, f_measure: 0.9278, kappa: 0.8522, kb_relative_information_score: 33935.5544, mean_absolute_error: 0.1338, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9278, predictive_accuracy: 0.9279, prior_entropy: 0.9835, recall: 0.9279, relative_absolute_error: 0.2738, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2357, root_relative_squared_error: 0.4768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9677, f_measure: 0.9033, kappa: 0.8021, kb_relative_information_score: 32597.3157, mean_absolute_error: 0.1453, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9033, predictive_accuracy: 0.9033, prior_entropy: 0.9835, recall: 0.9033, relative_absolute_error: 0.2975, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2643, root_relative_squared_error: 0.5348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9093, kappa: 0.8143, kb_relative_information_score: 31282.1774, mean_absolute_error: 0.1642, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9093, predictive_accuracy: 0.9093, prior_entropy: 0.9835, recall: 0.9093, relative_absolute_error: 0.3361, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2623, root_relative_squared_error: 0.5306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9444, f_measure: 0.8661, kappa: 0.7249, kb_relative_information_score: 24829.2617, mean_absolute_error: 0.239, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8669, predictive_accuracy: 0.8668, prior_entropy: 0.9835, recall: 0.8668, relative_absolute_error: 0.4891, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3149, root_relative_squared_error: 0.637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9145, kappa: 0.8248, kb_relative_information_score: 31686.6495, mean_absolute_error: 0.1602, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9145, predictive_accuracy: 0.9146, prior_entropy: 0.9835, recall: 0.9146, relative_absolute_error: 0.3278, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2558, root_relative_squared_error: 0.5176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.8838, kappa: 0.7616, kb_relative_information_score: 27518.2452, mean_absolute_error: 0.2076, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8839, predictive_accuracy: 0.884, prior_entropy: 0.9835, recall: 0.884, relative_absolute_error: 0.4248, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2941, root_relative_squared_error: 0.5951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9665, f_measure: 0.9002, kappa: 0.7954, kb_relative_information_score: 29250.4396, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9003, predictive_accuracy: 0.9004, prior_entropy: 0.9835, recall: 0.9004, relative_absolute_error: 0.3866, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2759, root_relative_squared_error: 0.5583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9725, f_measure: 0.9121, kappa: 0.8199, kb_relative_information_score: 30933.8282, mean_absolute_error: 0.1693, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9121, predictive_accuracy: 0.9122, prior_entropy: 0.9835, recall: 0.9122, relative_absolute_error: 0.3464, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2613, root_relative_squared_error: 0.5287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9334, kappa: 0.8636, kb_relative_information_score: 34751.5248, mean_absolute_error: 0.1243, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9334, predictive_accuracy: 0.9334, prior_entropy: 0.9835, recall: 0.9334, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2271, root_relative_squared_error: 0.4595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9588, f_measure: 0.8878, kappa: 0.77, kb_relative_information_score: 27921.7606, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8879, predictive_accuracy: 0.8881, prior_entropy: 0.9835, recall: 0.8881, relative_absolute_error: 0.4157, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.5871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.969, f_measure: 0.9061, kappa: 0.8076, kb_relative_information_score: 30203.6725, mean_absolute_error: 0.1774, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9061, predictive_accuracy: 0.9062, prior_entropy: 0.9835, recall: 0.9062, relative_absolute_error: 0.3631, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2689, root_relative_squared_error: 0.5441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9094, kappa: 0.8145, kb_relative_information_score: 31044.74, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9094, predictive_accuracy: 0.9095, prior_entropy: 0.9835, recall: 0.9095, relative_absolute_error: 0.3424, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2629, root_relative_squared_error: 0.5318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8548, kappa: 0.7015, kb_relative_information_score: 23044.072, mean_absolute_error: 0.2596, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8563, predictive_accuracy: 0.8558, prior_entropy: 0.9835, recall: 0.8558, relative_absolute_error: 0.5313, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3277, root_relative_squared_error: 0.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9476, f_measure: 0.8697, kappa: 0.7326, kb_relative_information_score: 25715.4802, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8701, predictive_accuracy: 0.8702, prior_entropy: 0.9835, recall: 0.8702, relative_absolute_error: 0.4669, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3092, root_relative_squared_error: 0.6255,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8615, kappa: 0.7155, kb_relative_information_score: 23913.3594, mean_absolute_error: 0.2499, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8625, predictive_accuracy: 0.8624, prior_entropy: 0.9835, recall: 0.8624, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.649,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9762, f_measure: 0.9205, kappa: 0.8373, kb_relative_information_score: 34122.3104, mean_absolute_error: 0.1296, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.9205, predictive_accuracy: 0.9206, prior_entropy: 0.9835, recall: 0.9206, relative_absolute_error: 0.2653, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9424, f_measure: 0.8619, kappa: 0.7162, kb_relative_information_score: 24430.4234, mean_absolute_error: 0.2432, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8628, predictive_accuracy: 0.8627, prior_entropy: 0.9835, recall: 0.8627, relative_absolute_error: 0.4978, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.954, f_measure: 0.8802, kappa: 0.7542, kb_relative_information_score: 27098.283, mean_absolute_error: 0.2122, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8803, predictive_accuracy: 0.8805, prior_entropy: 0.9835, recall: 0.8805, relative_absolute_error: 0.4342, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.2982, root_relative_squared_error: 0.6032,

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