OpenML
Supervised Classification on MiceProtein

Supervised Classification on MiceProtein

Task 34538 Supervised Classification MiceProtein 10616 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5524, f_measure: 0.1886, kappa: 0.1007, kb_relative_information_score: 175.3393, mean_absolute_error: 0.1958, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.201, predictive_accuracy: 0.2167, prior_entropy: 2.9931, recall: 0.2167, relative_absolute_error: 0.8964, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4425, root_relative_squared_error: 1.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 36.7357, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9986, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.0032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5179, f_measure: 0.1526, kappa: 0.0318, kb_relative_information_score: 107.9165, mean_absolute_error: 0.2111, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.1803, predictive_accuracy: 0.1556, prior_entropy: 2.9931, recall: 0.1556, relative_absolute_error: 0.9663, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4595, root_relative_squared_error: 1.3902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 108.991, mean_absolute_error: 0.219, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0025, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3442, root_relative_squared_error: 1.0414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 13.0974, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 44.6687, mean_absolute_error: 0.2192, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.0972, prior_entropy: 2.9931, recall: 0.0972, relative_absolute_error: 1.0032, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3324, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 8.1099, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 15.7105, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 11.181, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9935, kappa: 0.9926, kb_relative_information_score: 1015.5354, mean_absolute_error: 0.027, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9935, predictive_accuracy: 0.9935, prior_entropy: 2.9931, recall: 0.9935, relative_absolute_error: 0.1234, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0666, root_relative_squared_error: 0.2016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9815, kappa: 0.9788, kb_relative_information_score: 818.9387, mean_absolute_error: 0.0936, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9826, predictive_accuracy: 0.9815, prior_entropy: 2.9931, recall: 0.9815, relative_absolute_error: 0.4283, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1584, root_relative_squared_error: 0.4793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9503, f_measure: 0.6826, kappa: 0.6473, kb_relative_information_score: 483.8003, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7189, predictive_accuracy: 0.6926, prior_entropy: 2.9931, recall: 0.6926, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2601, root_relative_squared_error: 0.7869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9954, kappa: 0.9947, kb_relative_information_score: 928.1687, mean_absolute_error: 0.0605, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9955, predictive_accuracy: 0.9954, prior_entropy: 2.9931, recall: 0.9954, relative_absolute_error: 0.277, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1069, root_relative_squared_error: 0.3234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 11.7997, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 984.8451, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 1, predictive_accuracy: 1, prior_entropy: 2.9931, recall: 1, relative_absolute_error: 0.186, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0738, root_relative_squared_error: 0.2233,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 9.1871, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 45.9153, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3322, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 15.3817, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 73.7611, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7242, kappa: 0.0265, kb_relative_information_score: 61.2509, mean_absolute_error: 0.2169, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1481, prior_entropy: 2.9931, recall: 0.1481, relative_absolute_error: 0.9927, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 69.9014, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3379, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 7.6551, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 8.6624, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 83.3448, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.464, root_relative_squared_error: 1.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 39.0096, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3319, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 2.2803, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.52, f_measure: 0.1507, kappa: 0.0397, kb_relative_information_score: 114.5677, mean_absolute_error: 0.2093, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.1774, predictive_accuracy: 0.163, prior_entropy: 2.9931, recall: 0.163, relative_absolute_error: 0.9579, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4574, root_relative_squared_error: 1.3841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, kappa: 0.0058, kb_relative_information_score: 82.4173, mean_absolute_error: 0.2164, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1343, prior_entropy: 2.9931, recall: 0.1343, relative_absolute_error: 0.9907, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4652, root_relative_squared_error: 1.4076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9833, kappa: 0.9809, kb_relative_information_score: 930.6165, mean_absolute_error: 0.0563, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9835, predictive_accuracy: 0.9833, prior_entropy: 2.9931, recall: 0.9833, relative_absolute_error: 0.2578, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1107, root_relative_squared_error: 0.3348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9944, kappa: 0.9936, kb_relative_information_score: 841.7888, mean_absolute_error: 0.0897, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9945, predictive_accuracy: 0.9944, prior_entropy: 2.9931, recall: 0.9944, relative_absolute_error: 0.4104, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.4466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9546, kappa: 0.9481, kb_relative_information_score: 876.7525, mean_absolute_error: 0.0736, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9549, predictive_accuracy: 0.9546, prior_entropy: 2.9931, recall: 0.9546, relative_absolute_error: 0.3369, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.4319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 6.6629, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 83.3448, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.464, root_relative_squared_error: 1.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.7565, kappa: 0.7193, kb_relative_information_score: 754.1274, mean_absolute_error: 0.0835, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.7688, predictive_accuracy: 0.7546, prior_entropy: 2.9931, recall: 0.7546, relative_absolute_error: 0.3821, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2392, root_relative_squared_error: 0.7237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 73.7611, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 38.7618, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3317, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 2.5556, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 55.4114, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3334, root_relative_squared_error: 1.0087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.1475, kappa: 0.0433, kb_relative_information_score: 116.1008, mean_absolute_error: 0.2097, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.2369, predictive_accuracy: 0.1611, prior_entropy: 2.9931, recall: 0.1611, relative_absolute_error: 0.96, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.458, root_relative_squared_error: 1.3856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 83.3448, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.464, root_relative_squared_error: 1.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 7.4589, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 9.1315, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 8.686, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.4167, kappa: 0.3073, kb_relative_information_score: 345.4532, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.4942, predictive_accuracy: 0.3963, prior_entropy: 2.9931, recall: 0.3963, relative_absolute_error: 0.7963, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.362, root_relative_squared_error: 1.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 8.3925, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 999.3916, mean_absolute_error: 0.0341, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.9931, recall: 0.9981, relative_absolute_error: 0.1561, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0641, root_relative_squared_error: 0.1941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 13.932, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 29.744, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3312, root_relative_squared_error: 1.0023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 4.3101, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kappa: -0.0027, kb_relative_information_score: 13.2127, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1296, prior_entropy: 2.9931, recall: 0.1296, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 11.4373, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0004, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 26.3172, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.8691, kappa: 0.8493, kb_relative_information_score: 463.9389, mean_absolute_error: 0.1712, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8759, predictive_accuracy: 0.8685, prior_entropy: 2.9931, recall: 0.8685, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2654, root_relative_squared_error: 0.8029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 26.1428, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.331, root_relative_squared_error: 1.0014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 10.4187, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, kb_relative_information_score: 19.9753, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3308, root_relative_squared_error: 1.0009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 10.2863, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9528, kappa: 0.946, kb_relative_information_score: 957.4464, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9534, predictive_accuracy: 0.9528, prior_entropy: 2.9931, recall: 0.9528, relative_absolute_error: 0.1925, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1117, root_relative_squared_error: 0.3379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, kb_relative_information_score: 73.7611, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9991, kappa: 0.9989, kb_relative_information_score: 1057.1228, mean_absolute_error: 0.0102, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9991, predictive_accuracy: 0.9991, prior_entropy: 2.9931, recall: 0.9991, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0288, root_relative_squared_error: 0.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.922, kappa: 0.911, kb_relative_information_score: 932.2406, mean_absolute_error: 0.0495, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9223, predictive_accuracy: 0.9222, prior_entropy: 2.9931, recall: 0.9222, relative_absolute_error: 0.2268, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.3929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.8515, kappa: 0.8397, kb_relative_information_score: 668.8423, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.862, predictive_accuracy: 0.8602, prior_entropy: 2.9931, recall: 0.8602, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.2073, root_relative_squared_error: 0.6273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 105.5142, mean_absolute_error: 0.2179, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3456, root_relative_squared_error: 1.0457,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 22.881, mean_absolute_error: 0.2187, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, kappa: 0.0064, kb_relative_information_score: 82.6257, mean_absolute_error: 0.216, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1361, prior_entropy: 2.9931, recall: 0.1361, relative_absolute_error: 0.9886, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4647, root_relative_squared_error: 1.4061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 45.0113, mean_absolute_error: 0.2191, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0031, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.333, root_relative_squared_error: 1.0077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, kb_relative_information_score: 8.4197, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 10.2207, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 3.5699, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9981, kappa: 0.9979, kb_relative_information_score: 950.4354, mean_absolute_error: 0.053, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9982, predictive_accuracy: 0.9981, prior_entropy: 2.9931, recall: 0.9981, relative_absolute_error: 0.2425, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.0934, root_relative_squared_error: 0.2827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9306, kappa: 0.9215, kb_relative_information_score: 742.0478, mean_absolute_error: 0.1112, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9329, predictive_accuracy: 0.9315, prior_entropy: 2.9931, recall: 0.9315, relative_absolute_error: 0.5089, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.5644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 13.6705, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 83.3448, mean_absolute_error: 0.2153, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.464, root_relative_squared_error: 1.4039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 35.1309, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3313, root_relative_squared_error: 1.0024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4973, kb_relative_information_score: 13.2593, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 11.3521, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 46.1944, mean_absolute_error: 0.2178, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9969, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3333, root_relative_squared_error: 1.0086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 73.7611, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9712, kappa: 0.9671, kb_relative_information_score: 756.5184, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9719, predictive_accuracy: 0.9713, prior_entropy: 2.9931, recall: 0.9713, relative_absolute_error: 0.5064, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.5467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9636, kappa: 0.9587, kb_relative_information_score: 735.9576, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9664, predictive_accuracy: 0.9639, prior_entropy: 2.9931, recall: 0.9639, relative_absolute_error: 0.5302, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1865, root_relative_squared_error: 0.5642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 24.4324, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3309, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 34.5972, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3315, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9843, kappa: 0.982, kb_relative_information_score: 890.6967, mean_absolute_error: 0.0689, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9844, predictive_accuracy: 0.9843, prior_entropy: 2.9931, recall: 0.9843, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.124, root_relative_squared_error: 0.3753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 73.5566, mean_absolute_error: 0.2174, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9952, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3401, root_relative_squared_error: 1.0291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 13.7351, mean_absolute_error: 0.2186, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0005, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8309, f_measure: 0.4274, kappa: 0.3551, kb_relative_information_score: 339.0046, mean_absolute_error: 0.183, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.4412, predictive_accuracy: 0.437, prior_entropy: 2.9931, recall: 0.437, relative_absolute_error: 0.8378, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.297, root_relative_squared_error: 0.8986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.8934, kappa: 0.8781, kb_relative_information_score: 877.9068, mean_absolute_error: 0.0673, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.8946, predictive_accuracy: 0.8935, prior_entropy: 2.9931, recall: 0.8935, relative_absolute_error: 0.3079, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.153, root_relative_squared_error: 0.4631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 6.9996, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4921, kb_relative_information_score: 9.2531, mean_absolute_error: 0.2184, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 6.7289, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 9.621, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9686, kappa: 0.964, kb_relative_information_score: 813.2397, mean_absolute_error: 0.0951, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9691, predictive_accuracy: 0.9685, prior_entropy: 2.9931, recall: 0.9685, relative_absolute_error: 0.4354, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1637, root_relative_squared_error: 0.4954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 6.9994, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3305, root_relative_squared_error: 1.0001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9639, kappa: 0.9586, kb_relative_information_score: 707.4007, mean_absolute_error: 0.1233, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9661, predictive_accuracy: 0.9639, prior_entropy: 2.9931, recall: 0.9639, relative_absolute_error: 0.5644, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1994, root_relative_squared_error: 0.6034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9935, kappa: 0.9926, kb_relative_information_score: 908.4548, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, precision: 0.9936, predictive_accuracy: 0.9935, prior_entropy: 2.9931, recall: 0.9935, relative_absolute_error: 0.2995, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.1167, root_relative_squared_error: 0.3532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 73.7611, mean_absolute_error: 0.2188, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 1.0013, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4677, root_relative_squared_error: 1.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 18.1819, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3307, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, kb_relative_information_score: 9.2317, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1389, prior_entropy: 2.9931, recall: 0.1389, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3306, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, kappa: -0.0005, kb_relative_information_score: 73.723, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.1259, prior_entropy: 2.9931, recall: 0.1259, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.4675, root_relative_squared_error: 1.4144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 29.7827, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.2185, number_of_instances: 1080, predictive_accuracy: 0.125, prior_entropy: 2.9931, recall: 0.125, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.3305, root_mean_squared_error: 0.3311, root_relative_squared_error: 1.0017,

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