OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31695 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31695 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.965, kappa: 0.9141, kb_relative_information_score: 29391.1447, mean_absolute_error: 0.0635, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.965, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.1557, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1634, root_relative_squared_error: 0.3617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9675, kappa: 0.9203, kb_relative_information_score: 29706.046, mean_absolute_error: 0.06, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1471, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, kb_relative_information_score: 622.4784, mean_absolute_error: 0.3986, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9767, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4454, root_relative_squared_error: 0.9861,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.8916, kappa: 0.7345, kb_relative_information_score: -12496.9698, mean_absolute_error: 0.4886, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8917, predictive_accuracy: 0.8916, prior_entropy: 0.863, recall: 0.8916, relative_absolute_error: 1.1973, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4887, root_relative_squared_error: 1.0818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9662, kappa: 0.9172, kb_relative_information_score: 8527.4097, mean_absolute_error: 0.3345, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.8197, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3433, root_relative_squared_error: 0.7599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9443, kappa: 0.8633, kb_relative_information_score: 27879.2685, mean_absolute_error: 0.0791, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9442, predictive_accuracy: 0.9443, prior_entropy: 0.863, recall: 0.9443, relative_absolute_error: 0.1937, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1999, root_relative_squared_error: 0.4425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9499, kappa: 0.8771, kb_relative_information_score: 28354.6211, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9499, predictive_accuracy: 0.9499, prior_entropy: 0.863, recall: 0.9499, relative_absolute_error: 0.1806, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1917, root_relative_squared_error: 0.4245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9502, kappa: 0.8779, kb_relative_information_score: 28357.7663, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9502, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 0.1805, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9639, kappa: 0.9115, kb_relative_information_score: 29995.5468, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9639, predictive_accuracy: 0.9638, prior_entropy: 0.863, recall: 0.9638, relative_absolute_error: 0.1334, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9738, f_measure: 0.9269, kappa: 0.8171, kb_relative_information_score: 25483.5671, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9295, predictive_accuracy: 0.9287, prior_entropy: 0.863, recall: 0.9287, relative_absolute_error: 0.275, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2297, root_relative_squared_error: 0.5086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9785, f_measure: 0.9303, kappa: 0.8289, kb_relative_information_score: 26181.1753, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9302, predictive_accuracy: 0.9304, prior_entropy: 0.863, recall: 0.9304, relative_absolute_error: 0.2413, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2253, root_relative_squared_error: 0.4988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9523, f_measure: 0.8655, kappa: 0.6562, kb_relative_information_score: 18961.0997, mean_absolute_error: 0.1861, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8857, predictive_accuracy: 0.8756, prior_entropy: 0.863, recall: 0.8756, relative_absolute_error: 0.4559, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2955, root_relative_squared_error: 0.6541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9727, kappa: 0.933, kb_relative_information_score: -5224.6055, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9727, predictive_accuracy: 0.9728, prior_entropy: 0.863, recall: 0.9728, relative_absolute_error: 1.0524, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9718, f_measure: 0.9211, kappa: 0.8077, kb_relative_information_score: 24703.573, mean_absolute_error: 0.1165, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9217, predictive_accuracy: 0.9207, prior_entropy: 0.863, recall: 0.9207, relative_absolute_error: 0.2856, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2429, root_relative_squared_error: 0.5378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9628, kappa: 0.9088, kb_relative_information_score: 29306.4048, mean_absolute_error: 0.0639, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9628, predictive_accuracy: 0.9629, prior_entropy: 0.863, recall: 0.9629, relative_absolute_error: 0.1565, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1678, root_relative_squared_error: 0.3715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9666, kappa: 0.9182, kb_relative_information_score: 30094.8231, mean_absolute_error: 0.0534, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9666, predictive_accuracy: 0.9667, prior_entropy: 0.863, recall: 0.9667, relative_absolute_error: 0.1309, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1593, root_relative_squared_error: 0.3527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9461, f_measure: 0.8454, kappa: 0.6033, kb_relative_information_score: 16854.1872, mean_absolute_error: 0.2075, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8738, predictive_accuracy: 0.8595, prior_entropy: 0.863, recall: 0.8595, relative_absolute_error: 0.5083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3128, root_relative_squared_error: 0.6924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9524, kappa: 0.8834, kb_relative_information_score: 28595.6206, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9524, predictive_accuracy: 0.9525, prior_entropy: 0.863, recall: 0.9525, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1879, root_relative_squared_error: 0.416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9653, kappa: 0.9147, kb_relative_information_score: 29362.8463, mean_absolute_error: 0.064, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9652, predictive_accuracy: 0.9653, prior_entropy: 0.863, recall: 0.9653, relative_absolute_error: 0.1567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9661, kappa: 0.9167, kb_relative_information_score: 29523.3499, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.966, predictive_accuracy: 0.9661, prior_entropy: 0.863, recall: 0.9661, relative_absolute_error: 0.1519, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1631, root_relative_squared_error: 0.3611,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9082, f_measure: 0.7575, kappa: 0.3766, kb_relative_information_score: 9996.6443, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8303, predictive_accuracy: 0.7974, prior_entropy: 0.863, recall: 0.7974, relative_absolute_error: 0.6883, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3671, root_relative_squared_error: 0.8128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.9736, kappa: 0.9352, kb_relative_information_score: -2965.4447, mean_absolute_error: 0.4123, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9736, predictive_accuracy: 0.9737, prior_entropy: 0.863, recall: 0.9737, relative_absolute_error: 1.0102, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4138, root_relative_squared_error: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 29230.3984, mean_absolute_error: 0.0649, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9624, prior_entropy: 0.863, recall: 0.9624, relative_absolute_error: 0.159, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9646, kappa: 0.9132, kb_relative_information_score: 29858.3756, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1646, root_relative_squared_error: 0.3643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9646, kappa: 0.9132, kb_relative_information_score: 29517.1455, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9646, predictive_accuracy: 0.9647, prior_entropy: 0.863, recall: 0.9647, relative_absolute_error: 0.1508, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.3623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9536, kappa: 0.8861, kb_relative_information_score: 7444.04, mean_absolute_error: 0.3432, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9535, predictive_accuracy: 0.9536, prior_entropy: 0.863, recall: 0.9536, relative_absolute_error: 0.8411, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.962, kappa: 0.9068, kb_relative_information_score: 29070.1081, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9621, prior_entropy: 0.863, recall: 0.9621, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1713, root_relative_squared_error: 0.3792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9648, kappa: 0.9136, kb_relative_information_score: 29403.8883, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9648, predictive_accuracy: 0.9649, prior_entropy: 0.863, recall: 0.9649, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9617, kappa: 0.906, kb_relative_information_score: 28769.1254, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9617, predictive_accuracy: 0.9618, prior_entropy: 0.863, recall: 0.9618, relative_absolute_error: 0.1754, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1722, root_relative_squared_error: 0.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9599, kappa: 0.9017, kb_relative_information_score: 28869.377, mean_absolute_error: 0.0697, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9599, predictive_accuracy: 0.96, prior_entropy: 0.863, recall: 0.96, relative_absolute_error: 0.1707, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1743, root_relative_squared_error: 0.3859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8341, f_measure: 0.7062, kappa: 0.2504, kb_relative_information_score: 6323.9266, mean_absolute_error: 0.3205, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8111, predictive_accuracy: 0.7671, prior_entropy: 0.863, recall: 0.7671, relative_absolute_error: 0.7853, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8771,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9188, kappa: 0.8001, kb_relative_information_score: 25352.1451, mean_absolute_error: 0.1077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9186, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.264, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2433, root_relative_squared_error: 0.5385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9504, kappa: 0.8783, kb_relative_information_score: 28405.5868, mean_absolute_error: 0.0731, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9504, predictive_accuracy: 0.9504, prior_entropy: 0.863, recall: 0.9504, relative_absolute_error: 0.1791, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9643, kappa: 0.9124, kb_relative_information_score: 29287.1063, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.863, recall: 0.9643, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1651, root_relative_squared_error: 0.3655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9675, kappa: 0.9204, kb_relative_information_score: 30083.5829, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9675, predictive_accuracy: 0.9676, prior_entropy: 0.863, recall: 0.9676, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9673, kappa: 0.9197, kb_relative_information_score: 29957.9171, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9672, predictive_accuracy: 0.9673, prior_entropy: 0.863, recall: 0.9673, relative_absolute_error: 0.1373, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1587, root_relative_squared_error: 0.3514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9668, kappa: 0.9185, kb_relative_information_score: 29847.7086, mean_absolute_error: 0.0576, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9668, predictive_accuracy: 0.9668, prior_entropy: 0.863, recall: 0.9668, relative_absolute_error: 0.1412, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1595, root_relative_squared_error: 0.3532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9944, f_measure: 0.9735, kappa: 0.935, kb_relative_information_score: 30740.8272, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9735, predictive_accuracy: 0.9736, prior_entropy: 0.863, recall: 0.9736, relative_absolute_error: 0.1162, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1429, root_relative_squared_error: 0.3164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.979, f_measure: 0.9319, kappa: 0.8329, kb_relative_information_score: 26303.9743, mean_absolute_error: 0.0973, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9318, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.2383, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2235, root_relative_squared_error: 0.4949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9678, kappa: 0.9209, kb_relative_information_score: 30032.1914, mean_absolute_error: 0.0544, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9677, predictive_accuracy: 0.9678, prior_entropy: 0.863, recall: 0.9678, relative_absolute_error: 0.1333, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9581, kappa: 0.8973, kb_relative_information_score: 29193.039, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9581, predictive_accuracy: 0.9582, prior_entropy: 0.863, recall: 0.9582, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.175, root_relative_squared_error: 0.3874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4245, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9541, kappa: 0.8873, kb_relative_information_score: 28969.4195, mean_absolute_error: 0.0665, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.954, predictive_accuracy: 0.9542, prior_entropy: 0.863, recall: 0.9542, relative_absolute_error: 0.163, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9741, kappa: 0.9364, kb_relative_information_score: 26816.7888, mean_absolute_error: 0.1054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9741, predictive_accuracy: 0.9741, prior_entropy: 0.863, recall: 0.9741, relative_absolute_error: 0.2582, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1766, root_relative_squared_error: 0.391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9658, kappa: 0.9161, kb_relative_information_score: 17502.2428, mean_absolute_error: 0.228, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9658, prior_entropy: 0.863, recall: 0.9658, relative_absolute_error: 0.5586, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2641, root_relative_squared_error: 0.5846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9767, f_measure: 0.9369, kappa: 0.8429, kb_relative_information_score: 26737.2105, mean_absolute_error: 0.0964, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9385, predictive_accuracy: 0.9382, prior_entropy: 0.863, recall: 0.9382, relative_absolute_error: 0.2361, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9641, kappa: 0.912, kb_relative_information_score: 29919.4466, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9641, prior_entropy: 0.863, recall: 0.9641, relative_absolute_error: 0.1361, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3681,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.9478, kappa: 0.872, kb_relative_information_score: 29691.6944, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9478, predictive_accuracy: 0.9479, prior_entropy: 0.863, recall: 0.9479, relative_absolute_error: 0.1277, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2282, root_relative_squared_error: 0.5053,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9621, kappa: 0.9069, kb_relative_information_score: 8773.812, mean_absolute_error: 0.3326, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.962, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.815, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3416, root_relative_squared_error: 0.7561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9627, kappa: 0.9086, kb_relative_information_score: 29140.4492, mean_absolute_error: 0.0664, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9627, predictive_accuracy: 0.9628, prior_entropy: 0.863, recall: 0.9628, relative_absolute_error: 0.1628, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1681, root_relative_squared_error: 0.3722,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9659, kappa: 0.9163, kb_relative_information_score: 29610.1136, mean_absolute_error: 0.0608, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9658, predictive_accuracy: 0.9659, prior_entropy: 0.863, recall: 0.9659, relative_absolute_error: 0.1489, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9868, f_measure: 0.9466, kappa: 0.8689, kb_relative_information_score: 28063.2391, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9465, predictive_accuracy: 0.9466, prior_entropy: 0.863, recall: 0.9466, relative_absolute_error: 0.1887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1966, root_relative_squared_error: 0.4352,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7229, kb_relative_information_score: 670.6176, mean_absolute_error: 0.3937, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9646, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.9778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9412, kappa: 0.8557, kb_relative_information_score: 27485.6875, mean_absolute_error: 0.0836, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9411, predictive_accuracy: 0.9412, prior_entropy: 0.863, recall: 0.9412, relative_absolute_error: 0.2049, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9663, kappa: 0.9173, kb_relative_information_score: 29477.0064, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 0.1536, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1627, root_relative_squared_error: 0.3602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.8105, kappa: 0.5424, kb_relative_information_score: 15190.5844, mean_absolute_error: 0.2195, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8141, predictive_accuracy: 0.808, prior_entropy: 0.863, recall: 0.808, relative_absolute_error: 0.5378, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3484, root_relative_squared_error: 0.7713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9517, kappa: 0.8815, kb_relative_information_score: 28521.9511, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9516, predictive_accuracy: 0.9517, prior_entropy: 0.863, recall: 0.9517, relative_absolute_error: 0.1757, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.189, root_relative_squared_error: 0.4185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9432, kappa: 0.8606, kb_relative_information_score: 27728.5765, mean_absolute_error: 0.081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9432, prior_entropy: 0.863, recall: 0.9432, relative_absolute_error: 0.1985, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.202, root_relative_squared_error: 0.4471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9591, kappa: 0.8995, kb_relative_information_score: 28861.4524, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.959, predictive_accuracy: 0.9591, prior_entropy: 0.863, recall: 0.9591, relative_absolute_error: 0.17, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9852, f_measure: 0.9429, kappa: 0.86, kb_relative_information_score: 27683.4965, mean_absolute_error: 0.0813, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9429, predictive_accuracy: 0.943, prior_entropy: 0.863, recall: 0.943, relative_absolute_error: 0.1993, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2031, root_relative_squared_error: 0.4496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9642, kappa: 0.9123, kb_relative_information_score: 29887.85, mean_absolute_error: 0.0557, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9642, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1365, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1668, root_relative_squared_error: 0.3692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.968, kappa: 0.9216, kb_relative_information_score: 8916.7913, mean_absolute_error: 0.3311, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.968, predictive_accuracy: 0.9681, prior_entropy: 0.863, recall: 0.9681, relative_absolute_error: 0.8113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3395, root_relative_squared_error: 0.7515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9833, f_measure: 0.9398, kappa: 0.8523, kb_relative_information_score: 27285.3914, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.9398, prior_entropy: 0.863, recall: 0.9398, relative_absolute_error: 0.2113, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9776, f_measure: 0.9309, kappa: 0.8274, kb_relative_information_score: 26325.4398, mean_absolute_error: 0.1005, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9328, predictive_accuracy: 0.9324, prior_entropy: 0.863, recall: 0.9324, relative_absolute_error: 0.2463, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2221, root_relative_squared_error: 0.4917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9923, f_measure: 0.9603, kappa: 0.9026, kb_relative_information_score: 28907.4237, mean_absolute_error: 0.069, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9602, predictive_accuracy: 0.9603, prior_entropy: 0.863, recall: 0.9603, relative_absolute_error: 0.169, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1725, root_relative_squared_error: 0.382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9662, kappa: 0.917, kb_relative_information_score: -2264.2177, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9662, predictive_accuracy: 0.9663, prior_entropy: 0.863, recall: 0.9663, relative_absolute_error: 1.0038, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4126, root_relative_squared_error: 0.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.956, kappa: 0.8919, kb_relative_information_score: 17954.2031, mean_absolute_error: 0.2218, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9559, predictive_accuracy: 0.9561, prior_entropy: 0.863, recall: 0.9561, relative_absolute_error: 0.5436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2614, root_relative_squared_error: 0.5786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9622, kappa: 0.9073, kb_relative_information_score: 29580.7571, mean_absolute_error: 0.0606, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9622, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1485, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1714, root_relative_squared_error: 0.3795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9529, kappa: 0.8845, kb_relative_information_score: 27738.1151, mean_absolute_error: 0.0833, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9529, predictive_accuracy: 0.9529, prior_entropy: 0.863, recall: 0.9529, relative_absolute_error: 0.204, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1972, root_relative_squared_error: 0.4365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9696, kappa: 0.9255, kb_relative_information_score: 30361.6191, mean_absolute_error: 0.0506, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9696, predictive_accuracy: 0.9697, prior_entropy: 0.863, recall: 0.9697, relative_absolute_error: 0.1239, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1523, root_relative_squared_error: 0.3371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9083, f_measure: 0.811, kappa: 0.5433, kb_relative_information_score: 15204.6334, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8144, predictive_accuracy: 0.8087, prior_entropy: 0.863, recall: 0.8087, relative_absolute_error: 0.5377, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3481, root_relative_squared_error: 0.7705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4252, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9164, kappa: 0.7899, kb_relative_information_score: 24631.9922, mean_absolute_error: 0.1213, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9209, predictive_accuracy: 0.9192, prior_entropy: 0.863, recall: 0.9192, relative_absolute_error: 0.2972, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2426, root_relative_squared_error: 0.5371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9641, kappa: 0.912, kb_relative_information_score: 29294.0077, mean_absolute_error: 0.0645, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.158, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1672, root_relative_squared_error: 0.3702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9258, kappa: 0.8189, kb_relative_information_score: 25497.6464, mean_absolute_error: 0.1063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9262, predictive_accuracy: 0.9256, prior_entropy: 0.863, recall: 0.9256, relative_absolute_error: 0.2606, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.235, root_relative_squared_error: 0.5202,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9565, f_measure: 0.914, kappa: 0.7876, kb_relative_information_score: 24398.2626, mean_absolute_error: 0.1201, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9139, predictive_accuracy: 0.9148, prior_entropy: 0.863, recall: 0.9148, relative_absolute_error: 0.2942, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5653,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5959, f_measure: 0.6032, kappa: 0.0098, kb_relative_information_score: 77.8677, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6235, predictive_accuracy: 0.7115, prior_entropy: 0.863, recall: 0.7115, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9932, f_measure: 0.9638, kappa: 0.9113, kb_relative_information_score: 29274.3887, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9638, predictive_accuracy: 0.9639, prior_entropy: 0.863, recall: 0.9639, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9641, kappa: 0.912, kb_relative_information_score: 29087.0216, mean_absolute_error: 0.068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9641, predictive_accuracy: 0.9642, prior_entropy: 0.863, recall: 0.9642, relative_absolute_error: 0.1666, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1659, root_relative_squared_error: 0.3672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8759, f_measure: 0.729, kappa: 0.3058, kb_relative_information_score: 7772.7715, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8196, predictive_accuracy: 0.7801, prior_entropy: 0.863, recall: 0.7801, relative_absolute_error: 0.7567, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3832, root_relative_squared_error: 0.8482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9052, kappa: 0.7605, kb_relative_information_score: 23229.8415, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9127, predictive_accuracy: 0.9093, prior_entropy: 0.863, recall: 0.9093, relative_absolute_error: 0.3419, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9371, kappa: 0.8456, kb_relative_information_score: 26945.5493, mean_absolute_error: 0.0902, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.937, predictive_accuracy: 0.9372, prior_entropy: 0.863, recall: 0.9372, relative_absolute_error: 0.221, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2147, root_relative_squared_error: 0.4753,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4254, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9565, kappa: 0.8933, kb_relative_information_score: 29230.6194, mean_absolute_error: 0.0632, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9565, prior_entropy: 0.863, recall: 0.9565, relative_absolute_error: 0.1549, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9589, kappa: 0.8993, kb_relative_information_score: 29477.9894, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9589, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 0.1477, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1749, root_relative_squared_error: 0.3872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9453, f_measure: 0.8904, kappa: 0.7252, kb_relative_information_score: 1339.2266, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8928, predictive_accuracy: 0.8937, prior_entropy: 0.863, recall: 0.8937, relative_absolute_error: 0.9624, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4027, root_relative_squared_error: 0.8915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9539, kappa: 0.8867, kb_relative_information_score: 27636.0702, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9538, predictive_accuracy: 0.954, prior_entropy: 0.863, recall: 0.954, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1974, root_relative_squared_error: 0.4371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9686, kappa: 0.9228, kb_relative_information_score: 30127.9386, mean_absolute_error: 0.054, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9685, predictive_accuracy: 0.9686, prior_entropy: 0.863, recall: 0.9686, relative_absolute_error: 0.1323, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.154, root_relative_squared_error: 0.3409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4252, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5143, f_measure: 0.6026, kappa: 0.0097, kb_relative_information_score: -2105.2676, mean_absolute_error: 0.419, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6287, predictive_accuracy: 0.7124, prior_entropy: 0.863, recall: 0.7124, relative_absolute_error: 1.0267, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4524, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9545, kappa: 0.8884, kb_relative_information_score: 29007.6282, mean_absolute_error: 0.0658, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9545, predictive_accuracy: 0.9545, prior_entropy: 0.863, recall: 0.9545, relative_absolute_error: 0.1612, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1837, root_relative_squared_error: 0.4067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9547, kappa: 0.8889, kb_relative_information_score: 28896.1025, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9547, predictive_accuracy: 0.9547, prior_entropy: 0.863, recall: 0.9547, relative_absolute_error: 0.1648, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.4059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.9412, kappa: 0.854, kb_relative_information_score: 27449.0754, mean_absolute_error: 0.0868, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9421, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.2126, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2074, root_relative_squared_error: 0.4592,

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