OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 31939 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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31939 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9556, kappa: 0.8913, kb_relative_information_score: 28300.4535, mean_absolute_error: 0.0767, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.863, recall: 0.9557, relative_absolute_error: 0.188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1901, root_relative_squared_error: 0.4208,
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: 0.994, f_measure: 0.9673, kappa: 0.9198, kb_relative_information_score: 29777.8596, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9673, predictive_accuracy: 0.9674, prior_entropy: 0.863, recall: 0.9674, relative_absolute_error: 0.1447, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1574, root_relative_squared_error: 0.3484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9501, kappa: 0.8778, kb_relative_information_score: -13063.8792, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9501, predictive_accuracy: 0.9502, prior_entropy: 0.863, recall: 0.9502, relative_absolute_error: 1.209, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4934, root_relative_squared_error: 1.0923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9414, kappa: 0.8563, kb_relative_information_score: 27621.3363, mean_absolute_error: 0.082, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9414, predictive_accuracy: 0.9415, prior_entropy: 0.863, recall: 0.9415, relative_absolute_error: 0.2009, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2044, root_relative_squared_error: 0.4525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9649, kappa: 0.9139, kb_relative_information_score: 24433.3907, mean_absolute_error: 0.1356, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9649, predictive_accuracy: 0.965, prior_entropy: 0.863, recall: 0.965, relative_absolute_error: 0.3323, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2032, root_relative_squared_error: 0.4498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9575, kappa: 0.8957, kb_relative_information_score: -7155.5632, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9574, predictive_accuracy: 0.9576, prior_entropy: 0.863, recall: 0.9576, relative_absolute_error: 1.0912, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9807, f_measure: 0.9387, kappa: 0.8498, kb_relative_information_score: 27353.4608, mean_absolute_error: 0.0843, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.9388, prior_entropy: 0.863, recall: 0.9388, relative_absolute_error: 0.2065, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2157, root_relative_squared_error: 0.4776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9651, kappa: 0.9144, kb_relative_information_score: 29778.2087, mean_absolute_error: 0.0577, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9651, predictive_accuracy: 0.9652, prior_entropy: 0.863, recall: 0.9652, relative_absolute_error: 0.1415, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9586, kappa: 0.8984, kb_relative_information_score: 28543.2974, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9585, predictive_accuracy: 0.9586, prior_entropy: 0.863, recall: 0.9586, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9616, kappa: 0.9058, kb_relative_information_score: 29622.5489, mean_absolute_error: 0.0583, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9616, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1429, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1697, root_relative_squared_error: 0.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.971, f_measure: 0.9039, kappa: 0.757, kb_relative_information_score: 22702.6328, mean_absolute_error: 0.1487, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9127, predictive_accuracy: 0.9084, prior_entropy: 0.863, recall: 0.9084, relative_absolute_error: 0.3644, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2603, root_relative_squared_error: 0.5761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9941, f_measure: 0.9686, kappa: 0.9229, kb_relative_information_score: -3639.9526, mean_absolute_error: 0.4177, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9686, predictive_accuracy: 0.9687, prior_entropy: 0.863, recall: 0.9687, relative_absolute_error: 1.0235, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4194, root_relative_squared_error: 0.9284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9734, kappa: 0.9346, kb_relative_information_score: 28635.948, mean_absolute_error: 0.0806, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9734, predictive_accuracy: 0.9735, prior_entropy: 0.863, recall: 0.9735, relative_absolute_error: 0.1974, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1534, root_relative_squared_error: 0.3397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.9616, kappa: 0.9058, kb_relative_information_score: 28986.434, mean_absolute_error: 0.0684, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9615, predictive_accuracy: 0.9616, prior_entropy: 0.863, recall: 0.9616, relative_absolute_error: 0.1677, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3759,
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: 0.9813, f_measure: 0.9388, kappa: 0.8499, kb_relative_information_score: 27047.4739, mean_absolute_error: 0.0893, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9387, predictive_accuracy: 0.9388, prior_entropy: 0.863, recall: 0.9388, relative_absolute_error: 0.2188, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9646, kappa: 0.913, kb_relative_information_score: 29600.1913, mean_absolute_error: 0.0604, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9646, prior_entropy: 0.863, recall: 0.9646, relative_absolute_error: 0.1481, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.163, root_relative_squared_error: 0.3609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9551, kappa: 0.89, kb_relative_information_score: 9532.785, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9551, predictive_accuracy: 0.9551, prior_entropy: 0.863, recall: 0.9551, relative_absolute_error: 0.8019, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3365, root_relative_squared_error: 0.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9601, kappa: 0.902, kb_relative_information_score: 28775.1999, mean_absolute_error: 0.0709, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.96, predictive_accuracy: 0.9601, prior_entropy: 0.863, recall: 0.9601, relative_absolute_error: 0.1736, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9633, kappa: 0.9099, kb_relative_information_score: 29774.5783, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.863, recall: 0.9634, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1682, root_relative_squared_error: 0.3724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.962, kappa: 0.9068, kb_relative_information_score: 21517.8299, mean_absolute_error: 0.1747, 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: 0.4281, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.5095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9645, kappa: 0.9131, kb_relative_information_score: 30004.0169, mean_absolute_error: 0.0546, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9645, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1337, 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: 0.9775, f_measure: 0.9411, kappa: 0.8535, kb_relative_information_score: 27299.0307, mean_absolute_error: 0.0895, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.942, prior_entropy: 0.863, recall: 0.942, relative_absolute_error: 0.2194, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2125, root_relative_squared_error: 0.4704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.9256, kappa: 0.8186, kb_relative_information_score: 25472.2421, mean_absolute_error: 0.1065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9261, predictive_accuracy: 0.9253, prior_entropy: 0.863, recall: 0.9253, relative_absolute_error: 0.2611, 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: 0.9917, f_measure: 0.9637, kappa: 0.911, kb_relative_information_score: 29821.7542, mean_absolute_error: 0.0566, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.1388, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9943, f_measure: 0.9691, kappa: 0.9242, kb_relative_information_score: 30106.4773, mean_absolute_error: 0.0545, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9691, predictive_accuracy: 0.9691, prior_entropy: 0.863, recall: 0.9691, relative_absolute_error: 0.1335, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1539, root_relative_squared_error: 0.3408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9386, kappa: 0.8472, kb_relative_information_score: 27109.3013, mean_absolute_error: 0.0911, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9397, predictive_accuracy: 0.9396, prior_entropy: 0.863, recall: 0.9396, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2115, root_relative_squared_error: 0.4683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9623, kappa: 0.9075, kb_relative_information_score: 30305.5942, mean_absolute_error: 0.0487, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9623, predictive_accuracy: 0.9623, prior_entropy: 0.863, recall: 0.9623, relative_absolute_error: 0.1193, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1671, root_relative_squared_error: 0.37,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.595, f_measure: 0.6053, kappa: 0.0128, kb_relative_information_score: 58.3538, mean_absolute_error: 0.4046, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6253, predictive_accuracy: 0.711, prior_entropy: 0.863, recall: 0.711, relative_absolute_error: 0.9915, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, kb_relative_information_score: 0.5535, 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: 0.5951, f_measure: 0.605, kappa: 0.0124, kb_relative_information_score: 56.4614, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.625, predictive_accuracy: 0.711, prior_entropy: 0.863, recall: 0.711, relative_absolute_error: 0.9917, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.45, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9929, f_measure: 0.9644, kappa: 0.9127, kb_relative_information_score: 29294.2869, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9644, predictive_accuracy: 0.9645, prior_entropy: 0.863, recall: 0.9645, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1662, root_relative_squared_error: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9706, kappa: 0.9278, kb_relative_information_score: 28717.7561, mean_absolute_error: 0.0776, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9706, predictive_accuracy: 0.9707, prior_entropy: 0.863, recall: 0.9707, relative_absolute_error: 0.1902, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1608, root_relative_squared_error: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9663, kappa: 0.9172, kb_relative_information_score: 23863.2348, mean_absolute_error: 0.1437, 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: 0.352, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.994, f_measure: 0.9682, kappa: 0.922, kb_relative_information_score: 30128.885, mean_absolute_error: 0.0538, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9682, predictive_accuracy: 0.9683, prior_entropy: 0.863, recall: 0.9683, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1547, root_relative_squared_error: 0.3425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9672, kappa: 0.9196, kb_relative_information_score: 29148.0094, mean_absolute_error: 0.0693, 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: 0.1697, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1619, root_relative_squared_error: 0.3584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5206, f_measure: 0.6113, kappa: -0, kb_relative_information_score: -1633.7843, mean_absolute_error: 0.4192, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5919, predictive_accuracy: 0.6715, prior_entropy: 0.863, recall: 0.6715, relative_absolute_error: 1.0272, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4587, root_relative_squared_error: 1.0156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8566, f_measure: 0.71, kappa: 0.2595, kb_relative_information_score: 6833.072, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8122, predictive_accuracy: 0.7691, prior_entropy: 0.863, recall: 0.7691, relative_absolute_error: 0.7876, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3938, root_relative_squared_error: 0.8717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9665, kappa: 0.9178, kb_relative_information_score: 29860.4186, mean_absolute_error: 0.0571, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9665, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1399, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1592, root_relative_squared_error: 0.3524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9832, f_measure: 0.9397, kappa: 0.852, kb_relative_information_score: 27277.7771, mean_absolute_error: 0.0863, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9396, predictive_accuracy: 0.9397, prior_entropy: 0.863, recall: 0.9397, relative_absolute_error: 0.2115, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2094, root_relative_squared_error: 0.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9615, kappa: 0.9055, kb_relative_information_score: 28879.3306, mean_absolute_error: 0.0699, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9614, predictive_accuracy: 0.9615, prior_entropy: 0.863, recall: 0.9615, relative_absolute_error: 0.1713, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1715, root_relative_squared_error: 0.3798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9529, kappa: 0.8846, kb_relative_information_score: 28743.5974, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9529, predictive_accuracy: 0.953, prior_entropy: 0.863, recall: 0.953, relative_absolute_error: 0.1688, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1862, root_relative_squared_error: 0.4123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9848, f_measure: 0.942, kappa: 0.8578, kb_relative_information_score: 27584.2967, mean_absolute_error: 0.0825, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.942, predictive_accuracy: 0.9421, prior_entropy: 0.863, recall: 0.9421, relative_absolute_error: 0.2021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2047, root_relative_squared_error: 0.4531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9938, f_measure: 0.966, kappa: 0.9165, kb_relative_information_score: 29584.2805, mean_absolute_error: 0.061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9659, predictive_accuracy: 0.966, prior_entropy: 0.863, recall: 0.966, relative_absolute_error: 0.1495, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1611, root_relative_squared_error: 0.3566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.967, kappa: 0.9191, kb_relative_information_score: 30008.0257, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.967, predictive_accuracy: 0.967, prior_entropy: 0.863, recall: 0.967, relative_absolute_error: 0.1345, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1586, root_relative_squared_error: 0.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9281, kappa: 0.8238, kb_relative_information_score: 26065.8515, mean_absolute_error: 0.0992, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9281, predictive_accuracy: 0.9281, prior_entropy: 0.863, recall: 0.9281, relative_absolute_error: 0.2432, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2279, root_relative_squared_error: 0.5046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9637, kappa: 0.9109, kb_relative_information_score: 29904.1893, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9637, predictive_accuracy: 0.9637, prior_entropy: 0.863, recall: 0.9637, relative_absolute_error: 0.1371, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1666, root_relative_squared_error: 0.3687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9608, kappa: 0.9038, kb_relative_information_score: 28797.848, mean_absolute_error: 0.071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9608, predictive_accuracy: 0.9608, prior_entropy: 0.863, recall: 0.9608, relative_absolute_error: 0.174, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1718, root_relative_squared_error: 0.3804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9588, kappa: 0.8987, kb_relative_information_score: -4259.6456, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9588, predictive_accuracy: 0.9589, prior_entropy: 0.863, recall: 0.9589, relative_absolute_error: 1.0401, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9614, kappa: 0.9052, kb_relative_information_score: 29397.8874, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.863, recall: 0.9614, relative_absolute_error: 0.1537, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9417, kappa: 0.857, kb_relative_information_score: 27542.4354, mean_absolute_error: 0.0829, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.863, recall: 0.9417, relative_absolute_error: 0.2031, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2081, root_relative_squared_error: 0.4607,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.929, kappa: 0.8259, kb_relative_information_score: 26076.5351, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.929, predictive_accuracy: 0.9291, prior_entropy: 0.863, recall: 0.9291, relative_absolute_error: 0.244, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2267, root_relative_squared_error: 0.5019,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9878, f_measure: 0.9497, kappa: 0.8766, kb_relative_information_score: 28319.2563, mean_absolute_error: 0.0741, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9496, predictive_accuracy: 0.9497, prior_entropy: 0.863, recall: 0.9497, relative_absolute_error: 0.1815, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9631, kappa: 0.9095, kb_relative_information_score: 29228.2255, mean_absolute_error: 0.065, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9632, prior_entropy: 0.863, recall: 0.9632, relative_absolute_error: 0.1593, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1673, root_relative_squared_error: 0.3703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, kb_relative_information_score: 7.2488, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9998, 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: 0.9756, f_measure: 0.9207, kappa: 0.8023, kb_relative_information_score: 7248.698, mean_absolute_error: 0.3413, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9219, predictive_accuracy: 0.9223, prior_entropy: 0.863, recall: 0.9223, relative_absolute_error: 0.8363, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7882,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9664, kappa: 0.9177, kb_relative_information_score: 29929.1369, mean_absolute_error: 0.0558, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9664, predictive_accuracy: 0.9665, prior_entropy: 0.863, recall: 0.9665, relative_absolute_error: 0.1368, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1617, root_relative_squared_error: 0.3579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9876, f_measure: 0.9487, kappa: 0.8742, kb_relative_information_score: 28252.1206, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9487, predictive_accuracy: 0.9488, prior_entropy: 0.863, recall: 0.9488, relative_absolute_error: 0.1834, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9809, f_measure: 0.9357, kappa: 0.8423, kb_relative_information_score: 26709.7455, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9357, predictive_accuracy: 0.9357, prior_entropy: 0.863, recall: 0.9357, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2177, root_relative_squared_error: 0.4819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9734, f_measure: 0.9218, kappa: 0.8035, kb_relative_information_score: 24926.7009, mean_absolute_error: 0.1188, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9263, predictive_accuracy: 0.9243, prior_entropy: 0.863, recall: 0.9243, relative_absolute_error: 0.2911, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2409, root_relative_squared_error: 0.5333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.9425, kappa: 0.8575, kb_relative_information_score: 27246.599, mean_absolute_error: 0.0905, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9431, predictive_accuracy: 0.9433, prior_entropy: 0.863, recall: 0.9433, relative_absolute_error: 0.2217, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2058, root_relative_squared_error: 0.4557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9728, f_measure: 0.9223, kappa: 0.8107, kb_relative_information_score: 24916.157, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.923, predictive_accuracy: 0.9219, prior_entropy: 0.863, recall: 0.9219, relative_absolute_error: 0.2789, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2406, root_relative_squared_error: 0.5326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9534, kappa: 0.8859, kb_relative_information_score: 28783.1006, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9534, predictive_accuracy: 0.9535, prior_entropy: 0.863, recall: 0.9535, relative_absolute_error: 0.1679, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1855, root_relative_squared_error: 0.4107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4056, 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: 0.9838, f_measure: 0.9407, kappa: 0.8546, kb_relative_information_score: 27387.111, mean_absolute_error: 0.085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9407, predictive_accuracy: 0.9408, prior_entropy: 0.863, recall: 0.9408, relative_absolute_error: 0.2083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2077, root_relative_squared_error: 0.4597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9583, kappa: 0.8976, kb_relative_information_score: 28528.9857, mean_absolute_error: 0.074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9583, predictive_accuracy: 0.9584, prior_entropy: 0.863, recall: 0.9584, relative_absolute_error: 0.1813, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1781, root_relative_squared_error: 0.3943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9591, kappa: 0.8997, kb_relative_information_score: 28837.8899, mean_absolute_error: 0.0698, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9591, predictive_accuracy: 0.9592, prior_entropy: 0.863, recall: 0.9592, relative_absolute_error: 0.1709, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.174, root_relative_squared_error: 0.3852,
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: 0.9864, f_measure: 0.9411, kappa: 0.8546, kb_relative_information_score: -9872.1938, mean_absolute_error: 0.4668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9411, predictive_accuracy: 0.9416, prior_entropy: 0.863, recall: 0.9416, relative_absolute_error: 1.1438, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4672, root_relative_squared_error: 1.0342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5889, f_measure: 0.6009, kappa: 0.0072, kb_relative_information_score: -4.6131, mean_absolute_error: 0.4061, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.6263, predictive_accuracy: 0.7127, prior_entropy: 0.863, recall: 0.7127, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9435, kappa: 0.8615, kb_relative_information_score: 27852.0117, mean_absolute_error: 0.0794, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9435, predictive_accuracy: 0.9436, prior_entropy: 0.863, recall: 0.9436, relative_absolute_error: 0.1946, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2004, root_relative_squared_error: 0.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9796, f_measure: 0.9398, kappa: 0.8529, kb_relative_information_score: 26425.7102, mean_absolute_error: 0.0968, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.94, predictive_accuracy: 0.9397, prior_entropy: 0.863, recall: 0.9397, relative_absolute_error: 0.2373, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9695, kappa: 0.9252, kb_relative_information_score: -3949.1572, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9695, predictive_accuracy: 0.9696, prior_entropy: 0.863, recall: 0.9696, relative_absolute_error: 1.0321, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.9412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9859, f_measure: 0.9447, kappa: 0.8635, kb_relative_information_score: 2511.546, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9448, predictive_accuracy: 0.9452, prior_entropy: 0.863, recall: 0.9452, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3866, root_relative_squared_error: 0.8559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9592, kappa: 0.9, kb_relative_information_score: 29077.747, mean_absolute_error: 0.0668, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9592, predictive_accuracy: 0.9593, prior_entropy: 0.863, recall: 0.9593, relative_absolute_error: 0.1638, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3932,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9621, kappa: 0.907, kb_relative_information_score: 29392.5116, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9621, predictive_accuracy: 0.9622, prior_entropy: 0.863, recall: 0.9622, relative_absolute_error: 0.153, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1693, root_relative_squared_error: 0.3748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9872, f_measure: 0.948, kappa: 0.8725, kb_relative_information_score: 28313.0351, mean_absolute_error: 0.0737, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.948, predictive_accuracy: 0.9481, prior_entropy: 0.863, recall: 0.9481, relative_absolute_error: 0.1807, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1954, root_relative_squared_error: 0.4326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9931, f_measure: 0.9661, kappa: 0.9168, kb_relative_information_score: 29697.3826, mean_absolute_error: 0.0595, 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: 0.1457, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1618, root_relative_squared_error: 0.3581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9843, f_measure: 0.9413, kappa: 0.8559, kb_relative_information_score: 27477.5769, mean_absolute_error: 0.0838, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9412, predictive_accuracy: 0.9413, prior_entropy: 0.863, recall: 0.9413, relative_absolute_error: 0.2053, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2062, root_relative_squared_error: 0.4566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9564, kappa: 0.8929, kb_relative_information_score: 29251.3628, mean_absolute_error: 0.0636, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9566, prior_entropy: 0.863, recall: 0.9566, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.182, root_relative_squared_error: 0.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 0.4251, 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: 0.9873, f_measure: 0.9482, kappa: 0.8729, kb_relative_information_score: 28202.6072, mean_absolute_error: 0.0753, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9482, predictive_accuracy: 0.9483, prior_entropy: 0.863, recall: 0.9483, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1944, root_relative_squared_error: 0.4305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9631, f_measure: 0.6457, kappa: 0.1102, kb_relative_information_score: 5147.4127, mean_absolute_error: 0.3623, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8019, predictive_accuracy: 0.7369, prior_entropy: 0.863, recall: 0.7369, relative_absolute_error: 0.8877, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4067, root_relative_squared_error: 0.9004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, kb_relative_information_score: 0.7192, 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: 0.9902, f_measure: 0.9564, kappa: 0.8931, kb_relative_information_score: 29062.9987, mean_absolute_error: 0.0653, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9564, predictive_accuracy: 0.9564, prior_entropy: 0.863, recall: 0.9564, relative_absolute_error: 0.1599, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1804, root_relative_squared_error: 0.3993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9639, kappa: 0.9113, kb_relative_information_score: 29942.6398, mean_absolute_error: 0.0548, 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: 0.1342, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.166, root_relative_squared_error: 0.3675,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9022, f_measure: 0.7479, kappa: 0.3525, kb_relative_information_score: 9202.2974, mean_absolute_error: 0.2942, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.827, predictive_accuracy: 0.7915, prior_entropy: 0.863, recall: 0.7915, relative_absolute_error: 0.7208, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.8234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8769, kappa: 0.7071, kb_relative_information_score: 19041.2583, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8846, predictive_accuracy: 0.8741, prior_entropy: 0.863, recall: 0.8741, relative_absolute_error: 0.4455, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.309, root_relative_squared_error: 0.6841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9631, kappa: 0.9095, kb_relative_information_score: 29778.3791, mean_absolute_error: 0.057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9631, predictive_accuracy: 0.9631, prior_entropy: 0.863, recall: 0.9631, relative_absolute_error: 0.1396, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1684, root_relative_squared_error: 0.3727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9549, kappa: 0.8895, kb_relative_information_score: 28937.9254, mean_absolute_error: 0.0667, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9549, predictive_accuracy: 0.955, prior_entropy: 0.863, recall: 0.955, relative_absolute_error: 0.1634, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.9144, kappa: 0.7845, kb_relative_information_score: 24456.152, mean_absolute_error: 0.1229, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9197, predictive_accuracy: 0.9175, prior_entropy: 0.863, recall: 0.9175, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2452, root_relative_squared_error: 0.5428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9596, kappa: 0.9009, kb_relative_information_score: 28902.4521, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9596, predictive_accuracy: 0.9597, prior_entropy: 0.863, recall: 0.9597, relative_absolute_error: 0.1689, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1746, root_relative_squared_error: 0.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9875, f_measure: 0.9568, kappa: 0.894, kb_relative_information_score: 28628.6621, mean_absolute_error: 0.0725, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9567, predictive_accuracy: 0.9568, prior_entropy: 0.863, recall: 0.9568, relative_absolute_error: 0.1776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1843, root_relative_squared_error: 0.4081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9057, f_measure: 0.8172, kappa: 0.5551, kb_relative_information_score: 15181.0587, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8187, predictive_accuracy: 0.8161, prior_entropy: 0.863, recall: 0.8161, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9368, kappa: 0.8451, kb_relative_information_score: 26930.6194, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9368, predictive_accuracy: 0.9369, prior_entropy: 0.863, recall: 0.9369, relative_absolute_error: 0.2213, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.215, root_relative_squared_error: 0.476,

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