OpenML
Supervised Classification on nomao

Supervised Classification on nomao

Task 9977 Supervised Classification nomao 32751 runs submitted
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  • OpenML-CC18 OpenML100 study_123 study_14 study_218 study_99
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32751 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -188.0013, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0021, 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: 0.5001, kb_relative_information_score: -211.5576, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0026, 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: 0.9579, f_measure: 0.9036, kappa: 0.7618, kb_relative_information_score: 20116.677, mean_absolute_error: 0.1814, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9033, predictive_accuracy: 0.9044, prior_entropy: 0.863, recall: 0.9044, relative_absolute_error: 0.4444, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2743, root_relative_squared_error: 0.6073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -108.6445, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0013, 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: 0.4999, kb_relative_information_score: 65.6815, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.998, 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: 0.5001, kb_relative_information_score: 2128.7626, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9325, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4563, root_relative_squared_error: 1.0101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -265.7961, mean_absolute_error: 0.4094, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0032, 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: 0.5001, kb_relative_information_score: 32.1422, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.999, 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: 0.5001, kb_relative_information_score: -92.4832, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0011, 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: 0.5001, kb_relative_information_score: -72.8892, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0009, 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: 0.5001, kb_relative_information_score: -392.0711, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -328.2339, mean_absolute_error: 0.4097, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.004, 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: 0.4999, kb_relative_information_score: -73.0234, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0009, 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: 0.9647, f_measure: 0.91, kappa: 0.779, kb_relative_information_score: 22946.2319, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9098, predictive_accuracy: 0.9101, prior_entropy: 0.863, recall: 0.9101, relative_absolute_error: 0.3443, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2576, root_relative_squared_error: 0.5702,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -106.7717, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0013, 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: 0.8629, f_measure: 0.8509, kappa: 0.6453, kb_relative_information_score: 10809.425, mean_absolute_error: 0.2904, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8591, predictive_accuracy: 0.8474, prior_entropy: 0.863, recall: 0.8474, relative_absolute_error: 0.7115, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 3.3894, 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: 0.9999, 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: 0.9715, f_measure: 0.926, kappa: 0.8187, kb_relative_information_score: 27566.529, mean_absolute_error: 0.076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.926, predictive_accuracy: 0.926, prior_entropy: 0.863, recall: 0.926, relative_absolute_error: 0.1862, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2548, root_relative_squared_error: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9532, kappa: 0.885, kb_relative_information_score: 28233.216, mean_absolute_error: 0.0774, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9531, predictive_accuracy: 0.9533, prior_entropy: 0.863, recall: 0.9533, relative_absolute_error: 0.1895, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1851, root_relative_squared_error: 0.4097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9436, f_measure: 0.8846, kappa: 0.7171, kb_relative_information_score: 19871.1506, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8846, predictive_accuracy: 0.8847, prior_entropy: 0.863, recall: 0.8847, relative_absolute_error: 0.4377, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2893, root_relative_squared_error: 0.6405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -62.2279, 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: 0.9997, 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: 0.4999, kb_relative_information_score: -361.2756, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.452, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.956, f_measure: 0.9025, kappa: 0.7624, kb_relative_information_score: 21404.8954, mean_absolute_error: 0.1611, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9033, predictive_accuracy: 0.9019, prior_entropy: 0.863, recall: 0.9019, relative_absolute_error: 0.3948, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.272, root_relative_squared_error: 0.6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9109, kappa: 0.7812, kb_relative_information_score: 22940.0651, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9108, predictive_accuracy: 0.9112, prior_entropy: 0.863, recall: 0.9112, relative_absolute_error: 0.3437, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -99.0782, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0006, 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: 0.4999, kb_relative_information_score: 82.6431, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9975, 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: 0.4999, kb_relative_information_score: 76.1258, mean_absolute_error: 0.4071, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9977, 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: 0.5001, kb_relative_information_score: -47.1104, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0006, 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: 0.4999, kb_relative_information_score: 268.5884, mean_absolute_error: 0.4047, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9918, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, kb_relative_information_score: 3298.6573, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.422, root_relative_squared_error: 0.9341,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9402, kappa: 0.853, kb_relative_information_score: 26714.9358, mean_absolute_error: 0.0946, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9401, predictive_accuracy: 0.9404, prior_entropy: 0.863, recall: 0.9404, relative_absolute_error: 0.2317, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2084, root_relative_squared_error: 0.4614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, kb_relative_information_score: 3204.1277, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.9292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 195.5766, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.994, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9149, kappa: 0.7909, kb_relative_information_score: 23688.7217, mean_absolute_error: 0.1303, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9147, predictive_accuracy: 0.9151, prior_entropy: 0.863, recall: 0.9151, relative_absolute_error: 0.3192, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.5484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8937, f_measure: 0.9104, kappa: 0.7821, kb_relative_information_score: 25729.6456, mean_absolute_error: 0.0974, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9114, predictive_accuracy: 0.9098, prior_entropy: 0.863, recall: 0.9098, relative_absolute_error: 0.2388, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2873, root_relative_squared_error: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 1854.3447, mean_absolute_error: 0.3842, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9415, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4551, root_relative_squared_error: 1.0076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -514.4876, mean_absolute_error: 0.4107, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0063, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -662.6562, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0082, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9096, kappa: 0.7792, kb_relative_information_score: 22398.3712, mean_absolute_error: 0.1475, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9099, predictive_accuracy: 0.9094, prior_entropy: 0.863, recall: 0.9094, relative_absolute_error: 0.3615, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -234.5474, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0021, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 367.7581, mean_absolute_error: 0.4035, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9887, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -347.9648, mean_absolute_error: 0.4098, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0043, 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: 0.9875, f_measure: 0.9491, kappa: 0.8746, kb_relative_information_score: 26799.796, mean_absolute_error: 0.0985, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9491, predictive_accuracy: 0.9494, prior_entropy: 0.863, recall: 0.9494, relative_absolute_error: 0.2415, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9606, f_measure: 0.906, kappa: 0.7696, kb_relative_information_score: 21961.835, mean_absolute_error: 0.1542, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.906, predictive_accuracy: 0.9061, prior_entropy: 0.863, recall: 0.9061, relative_absolute_error: 0.3779, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2653, root_relative_squared_error: 0.5873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.9023, kappa: 0.7607, kb_relative_information_score: 19414.785, mean_absolute_error: 0.1896, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9024, predictive_accuracy: 0.9022, prior_entropy: 0.863, recall: 0.9022, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2817, root_relative_squared_error: 0.6237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -5034.7992, mean_absolute_error: 0.4358, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0678, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4563, root_relative_squared_error: 1.0102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: -84.4692, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.001, 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: 0.5001, kb_relative_information_score: -220.772, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0027, 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: 0.5001, kb_relative_information_score: -109.9384, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9992, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -60.5462, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0006, 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: 0.4999, kb_relative_information_score: 326.1001, mean_absolute_error: 0.404, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.99, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.939, kappa: 0.8496, kb_relative_information_score: 26111.5093, mean_absolute_error: 0.1042, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9389, predictive_accuracy: 0.9394, prior_entropy: 0.863, recall: 0.9394, relative_absolute_error: 0.2553, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2093, root_relative_squared_error: 0.4633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9739, f_measure: 0.9231, kappa: 0.811, kb_relative_information_score: 25042.2821, mean_absolute_error: 0.1133, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9229, predictive_accuracy: 0.9234, prior_entropy: 0.863, recall: 0.9234, relative_absolute_error: 0.2776, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2375, root_relative_squared_error: 0.5258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -375.98, mean_absolute_error: 0.41, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0046, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9473, kappa: 0.8706, kb_relative_information_score: 27524.3408, mean_absolute_error: 0.0857, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9472, predictive_accuracy: 0.9475, prior_entropy: 0.863, recall: 0.9475, relative_absolute_error: 0.21, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1961, root_relative_squared_error: 0.4342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.8973, kappa: 0.7514, kb_relative_information_score: 17842.8837, mean_absolute_error: 0.2095, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8995, predictive_accuracy: 0.8961, prior_entropy: 0.863, recall: 0.8961, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.6539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 88.5583, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9973, 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: 0.4999, kb_relative_information_score: 345.2231, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9894, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -4492.1738, mean_absolute_error: 0.4325, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0599, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4553, root_relative_squared_error: 1.0079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9502, f_measure: 0.8979, kappa: 0.7463, kb_relative_information_score: 14632.2622, mean_absolute_error: 0.2537, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.898, predictive_accuracy: 0.8995, prior_entropy: 0.863, recall: 0.8995, relative_absolute_error: 0.6216, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3134, root_relative_squared_error: 0.6937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9619, f_measure: 0.9053, kappa: 0.7679, kb_relative_information_score: 22589.3233, mean_absolute_error: 0.1444, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9053, predictive_accuracy: 0.9053, prior_entropy: 0.863, recall: 0.9053, relative_absolute_error: 0.3539, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2637, root_relative_squared_error: 0.5838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9661, f_measure: 0.8918, kappa: 0.7283, kb_relative_information_score: 15488.2859, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8948, predictive_accuracy: 0.8953, prior_entropy: 0.863, recall: 0.8953, relative_absolute_error: 0.6033, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 37.3627, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9989, 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: 0.4999, kb_relative_information_score: -1021.5428, mean_absolute_error: 0.4133, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0127, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4519, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9318, kappa: 0.8325, kb_relative_information_score: 26226.0398, mean_absolute_error: 0.0994, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9317, predictive_accuracy: 0.932, prior_entropy: 0.863, recall: 0.932, relative_absolute_error: 0.2436, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9573, f_measure: 0.909, kappa: 0.7768, kb_relative_information_score: 22721.0057, mean_absolute_error: 0.1429, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9089, predictive_accuracy: 0.909, prior_entropy: 0.863, recall: 0.909, relative_absolute_error: 0.3502, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2668, root_relative_squared_error: 0.5906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -240.515, mean_absolute_error: 0.4093, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0029, 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: 0.9816, f_measure: 0.9341, kappa: 0.8369, kb_relative_information_score: 25287.2953, mean_absolute_error: 0.1147, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9342, predictive_accuracy: 0.9347, prior_entropy: 0.863, recall: 0.9347, relative_absolute_error: 0.281, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2187, root_relative_squared_error: 0.4841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -298.4183, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0037, 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: 0.9775, f_measure: 0.9301, kappa: 0.8282, kb_relative_information_score: 27334.1139, mean_absolute_error: 0.0814, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.93, predictive_accuracy: 0.9303, prior_entropy: 0.863, recall: 0.9303, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2311, root_relative_squared_error: 0.5116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -73.9596, mean_absolute_error: 0.4085, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0009, 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: 0.5, kb_relative_information_score: -1124.9349, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.014, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4519, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4377, f_measure: 0.5379, kappa: -0.1225, kb_relative_information_score: -8198.84, mean_absolute_error: 0.4659, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.5418, predictive_accuracy: 0.5341, prior_entropy: 0.863, recall: 0.5341, relative_absolute_error: 1.1416, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.6826, root_relative_squared_error: 1.5111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 104.1602, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9968, 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: 0.4999, kb_relative_information_score: 299.3941, mean_absolute_error: 0.4044, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9908, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9574, f_measure: 0.9049, kappa: 0.7679, kb_relative_information_score: 21809.7601, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9054, predictive_accuracy: 0.9044, prior_entropy: 0.863, recall: 0.9044, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2692, root_relative_squared_error: 0.5959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -223.9405, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0027, 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: 0.5001, kb_relative_information_score: -20.9452, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9997, 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: 0.5001, kb_relative_information_score: 33.0309, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.999, 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: 0.4999, kb_relative_information_score: -37.371, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0005, 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: 0.9634, f_measure: 0.9102, kappa: 0.7797, kb_relative_information_score: 22937.0576, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9101, predictive_accuracy: 0.9103, prior_entropy: 0.863, recall: 0.9103, relative_absolute_error: 0.3444, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2589, root_relative_squared_error: 0.5732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 12.8142, mean_absolute_error: 0.4079, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9996, 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: 0.8228, f_measure: 0.8557, kappa: 0.6451, kb_relative_information_score: 16275.3109, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8552, predictive_accuracy: 0.8562, prior_entropy: 0.863, recall: 0.8562, relative_absolute_error: 0.5505, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.3458, root_relative_squared_error: 0.7655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: 141.9191, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9957, 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: 0.4999, kb_relative_information_score: -206.7771, mean_absolute_error: 0.4091, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0025, 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: 0.9692, f_measure: 0.9142, kappa: 0.7888, kb_relative_information_score: 23374.8646, mean_absolute_error: 0.1354, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.914, predictive_accuracy: 0.9147, prior_entropy: 0.863, recall: 0.9147, relative_absolute_error: 0.3318, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2494, root_relative_squared_error: 0.5521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 54.8568, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9983, 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: 0.9574, f_measure: 0.9042, kappa: 0.7654, kb_relative_information_score: 21768.6418, mean_absolute_error: 0.1564, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9043, predictive_accuracy: 0.9042, prior_entropy: 0.863, recall: 0.9042, relative_absolute_error: 0.3833, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2698, root_relative_squared_error: 0.5974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -676.8581, mean_absolute_error: 0.4115, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0083, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: 26.0881, mean_absolute_error: 0.4078, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 0.9992, 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: 0.942, f_measure: 0.858, kappa: 0.6477, kb_relative_information_score: 17408.1865, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.8573, predictive_accuracy: 0.86, prior_entropy: 0.863, recall: 0.86, relative_absolute_error: 0.5151, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.306, root_relative_squared_error: 0.6775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, kb_relative_information_score: -291.6622, mean_absolute_error: 0.4095, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0036, 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: 0.9878, f_measure: 0.9499, kappa: 0.8768, kb_relative_information_score: 27503.2101, mean_absolute_error: 0.0874, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9498, predictive_accuracy: 0.9501, prior_entropy: 0.863, recall: 0.9501, relative_absolute_error: 0.2143, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.1935, root_relative_squared_error: 0.4283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -166.4266, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.002, 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: 0.4999, kb_relative_information_score: -393.7793, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0048, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4517, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -3.2005, 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: 0.9999, 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: 0.9729, f_measure: 0.9151, kappa: 0.7893, kb_relative_information_score: 22379.895, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, precision: 0.9155, predictive_accuracy: 0.9164, prior_entropy: 0.863, recall: 0.9164, relative_absolute_error: 0.372, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.5457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -651.2487, mean_absolute_error: 0.4114, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.008, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, kb_relative_information_score: -63.7098, mean_absolute_error: 0.4084, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0007, 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: 0.5, kb_relative_information_score: -747.6796, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4081, number_of_instances: 34465, predictive_accuracy: 0.7144, prior_entropy: 0.863, recall: 0.7144, relative_absolute_error: 1.0092, root_mean_prior_squared_error: 0.4517, root_mean_squared_error: 0.4518, root_relative_squared_error: 1.0002,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs