OpenML
Supervised Classification on phoneme

Supervised Classification on phoneme

Task 9952 Supervised Classification phoneme 113807 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_218 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.853, kappa: 0.6464, kb_relative_information_score: 0.6171, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8534, predictive_accuracy: 0.8527, prior_entropy: 0.8732, recall: 0.8527, relative_absolute_error: 0.3552, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3838, root_relative_squared_error: 0.8428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4869, f_measure: 0.5747, kappa: -0.0263, kb_relative_information_score: -0.1048, mean_absolute_error: 0.4251, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.5744, predictive_accuracy: 0.5749, prior_entropy: 0.8732, recall: 0.5749, relative_absolute_error: 1.0249, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.652, root_relative_squared_error: 1.4318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.8509, kappa: 0.6418, kb_relative_information_score: 0.6109, mean_absolute_error: 0.1497, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8516, predictive_accuracy: 0.8503, prior_entropy: 0.8732, recall: 0.8503, relative_absolute_error: 0.361, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3869, root_relative_squared_error: 0.8497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.8355, kappa: 0.6041, kb_relative_information_score: 0.5714, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8358, predictive_accuracy: 0.8351, prior_entropy: 0.8732, recall: 0.8351, relative_absolute_error: 0.3975, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4061, root_relative_squared_error: 0.8917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4572, f_measure: 0.5496, kappa: -0.0855, kb_relative_information_score: -0.1712, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.5498, predictive_accuracy: 0.5494, prior_entropy: 0.8732, recall: 0.5494, relative_absolute_error: 1.0865, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.6713, root_relative_squared_error: 1.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8312, f_measure: 0.8621, kappa: 0.6664, kb_relative_information_score: 0.6426, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8617, predictive_accuracy: 0.8625, prior_entropy: 0.8732, recall: 0.8625, relative_absolute_error: 0.3315, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3708, root_relative_squared_error: 0.8143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.834, kappa: 0.6014, kb_relative_information_score: 0.5666, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8348, predictive_accuracy: 0.8333, prior_entropy: 0.8732, recall: 0.8333, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.8246, kappa: 0.5793, kb_relative_information_score: 0.5416, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8257, predictive_accuracy: 0.8236, prior_entropy: 0.8732, recall: 0.8236, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.8329, kappa: 0.5988, kb_relative_information_score: 0.5637, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8337, predictive_accuracy: 0.8322, prior_entropy: 0.8732, recall: 0.8322, relative_absolute_error: 0.4047, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4097, root_relative_squared_error: 0.8997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.8527, kappa: 0.6456, kb_relative_information_score: 0.6162, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8531, predictive_accuracy: 0.8523, prior_entropy: 0.8732, recall: 0.8523, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8237, f_measure: 0.8524, kappa: 0.6448, kb_relative_information_score: 0.6157, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8527, predictive_accuracy: 0.8521, prior_entropy: 0.8732, recall: 0.8521, relative_absolute_error: 0.3565, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3845, root_relative_squared_error: 0.8444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5488, f_measure: 0.6263, kappa: 0.0978, kb_relative_information_score: 0.0298, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.6259, predictive_accuracy: 0.6268, prior_entropy: 0.8732, recall: 0.6268, relative_absolute_error: 0.9, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.6109, root_relative_squared_error: 1.3417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7794, f_measure: 0.8137, kappa: 0.553, kb_relative_information_score: 0.5132, mean_absolute_error: 0.1873, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8148, predictive_accuracy: 0.8127, prior_entropy: 0.8732, recall: 0.8127, relative_absolute_error: 0.4515, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4327, root_relative_squared_error: 0.9503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8158, f_measure: 0.8464, kappa: 0.6301, kb_relative_information_score: 0.6003, mean_absolute_error: 0.1538, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8466, predictive_accuracy: 0.8462, prior_entropy: 0.8732, recall: 0.8462, relative_absolute_error: 0.3708, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3921, root_relative_squared_error: 0.8612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8038, f_measure: 0.8357, kappa: 0.6048, kb_relative_information_score: 0.5719, mean_absolute_error: 0.1647, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8361, predictive_accuracy: 0.8353, prior_entropy: 0.8732, recall: 0.8353, relative_absolute_error: 0.3971, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4058, root_relative_squared_error: 0.8912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.761, f_measure: 0.8012, kappa: 0.5211, kb_relative_information_score: 0.4829, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8014, predictive_accuracy: 0.8011, prior_entropy: 0.8732, recall: 0.8011, relative_absolute_error: 0.4796, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7403, f_measure: 0.7884, kappa: 0.4867, kb_relative_information_score: 0.4536, mean_absolute_error: 0.2102, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7873, predictive_accuracy: 0.7898, prior_entropy: 0.8732, recall: 0.7898, relative_absolute_error: 0.5069, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4585, root_relative_squared_error: 1.0069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.8, kappa: 0.5176, kb_relative_information_score: 0.4805, mean_absolute_error: 0.1999, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7999, predictive_accuracy: 0.8001, prior_entropy: 0.8732, recall: 0.8001, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.447, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7832, f_measure: 0.8133, kappa: 0.5547, kb_relative_information_score: 0.5099, mean_absolute_error: 0.1886, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8159, predictive_accuracy: 0.8114, prior_entropy: 0.8732, recall: 0.8114, relative_absolute_error: 0.4547, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8857, kappa: 0.7229, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8853, predictive_accuracy: 0.8864, prior_entropy: 0.8732, recall: 0.8864, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8956, kappa: 0.7467, kb_relative_information_score: 0.7302, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8952, predictive_accuracy: 0.8962, prior_entropy: 0.8732, recall: 0.8962, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.7076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8958, kappa: 0.748, kb_relative_information_score: 0.7302, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8956, predictive_accuracy: 0.8962, prior_entropy: 0.8732, recall: 0.8962, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.7076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.8872, kappa: 0.727, kb_relative_information_score: 0.708, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8869, predictive_accuracy: 0.8877, prior_entropy: 0.8732, recall: 0.8877, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.8879, kappa: 0.7283, kb_relative_information_score: 0.71, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8875, predictive_accuracy: 0.8884, prior_entropy: 0.8732, recall: 0.8884, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.334, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.8798, kappa: 0.7076, kb_relative_information_score: 0.6907, mean_absolute_error: 0.119, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8794, predictive_accuracy: 0.881, prior_entropy: 0.8732, recall: 0.881, relative_absolute_error: 0.2869, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3449, root_relative_squared_error: 0.7575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.774, kappa: 0.4444, kb_relative_information_score: 0.4267, mean_absolute_error: 0.2206, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7718, predictive_accuracy: 0.7794, prior_entropy: 0.8732, recall: 0.7794, relative_absolute_error: 0.5319, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4697, root_relative_squared_error: 1.0314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.773, kappa: 0.447, kb_relative_information_score: 0.4166, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7712, predictive_accuracy: 0.7755, prior_entropy: 0.8732, recall: 0.7755, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8722, kappa: 0.6893, kb_relative_information_score: 0.671, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8717, predictive_accuracy: 0.8734, prior_entropy: 0.8732, recall: 0.8734, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.8634, kappa: 0.6698, kb_relative_information_score: 0.646, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8631, predictive_accuracy: 0.8638, prior_entropy: 0.8732, recall: 0.8638, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.369, root_relative_squared_error: 0.8105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8698, kappa: 0.6834, kb_relative_information_score: 0.6648, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8693, predictive_accuracy: 0.871, prior_entropy: 0.8732, recall: 0.871, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8354, f_measure: 0.8682, kappa: 0.6801, kb_relative_information_score: 0.6599, mean_absolute_error: 0.1308, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8677, predictive_accuracy: 0.8692, prior_entropy: 0.8732, recall: 0.8692, relative_absolute_error: 0.3155, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3617, root_relative_squared_error: 0.7943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.7692, kappa: 0.4368, kb_relative_information_score: 0.4084, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7672, predictive_accuracy: 0.7724, prior_entropy: 0.8732, recall: 0.7724, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.0477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.749, kappa: 0.379, kb_relative_information_score: 0.3709, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7463, predictive_accuracy: 0.758, prior_entropy: 0.8732, recall: 0.758, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.492, root_relative_squared_error: 1.0804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.871, kappa: 0.6865, kb_relative_information_score: 0.6676, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8705, predictive_accuracy: 0.8721, prior_entropy: 0.8732, recall: 0.8721, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7954, kappa: 0.5052, kb_relative_information_score: 0.47, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7948, predictive_accuracy: 0.7961, prior_entropy: 0.8732, recall: 0.7961, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.7772, kappa: 0.4584, kb_relative_information_score: 0.4262, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7757, predictive_accuracy: 0.7792, prior_entropy: 0.8732, recall: 0.7792, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4699, root_relative_squared_error: 1.0318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.817, kappa: 0.564, kb_relative_information_score: 0.5195, mean_absolute_error: 0.1849, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8198, predictive_accuracy: 0.8151, prior_entropy: 0.8732, recall: 0.8151, relative_absolute_error: 0.4457, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.43, root_relative_squared_error: 0.9442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7737, kappa: 0.4489, kb_relative_information_score: 0.418, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7719, predictive_accuracy: 0.7761, prior_entropy: 0.8732, recall: 0.7761, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.7289, kappa: 0.3224, kb_relative_information_score: 0.3372, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7277, predictive_accuracy: 0.745, prior_entropy: 0.8732, recall: 0.745, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.505, root_relative_squared_error: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7318, f_measure: 0.7831, kappa: 0.4723, kb_relative_information_score: 0.4416, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7816, predictive_accuracy: 0.7852, prior_entropy: 0.8732, recall: 0.7852, relative_absolute_error: 0.518, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4635, root_relative_squared_error: 1.0179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4646, f_measure: 0.5556, kappa: -0.0707, kb_relative_information_score: -0.1563, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.556, predictive_accuracy: 0.5551, prior_entropy: 0.8732, recall: 0.5551, relative_absolute_error: 1.0726, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.667, root_relative_squared_error: 1.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.8857, kappa: 0.7229, kb_relative_information_score: 0.7047, mean_absolute_error: 0.1136, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8853, predictive_accuracy: 0.8864, prior_entropy: 0.8732, recall: 0.8864, relative_absolute_error: 0.274, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3371, root_relative_squared_error: 0.7402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.869, f_measure: 0.8956, kappa: 0.7467, kb_relative_information_score: 0.7302, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8952, predictive_accuracy: 0.8962, prior_entropy: 0.8732, recall: 0.8962, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.7076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.8872, kappa: 0.727, kb_relative_information_score: 0.708, mean_absolute_error: 0.1123, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8869, predictive_accuracy: 0.8877, prior_entropy: 0.8732, recall: 0.8877, relative_absolute_error: 0.2708, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3351, root_relative_squared_error: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8499, kappa: 0.6389, kb_relative_information_score: 0.609, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8503, predictive_accuracy: 0.8496, prior_entropy: 0.8732, recall: 0.8496, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, f_measure: 0.8958, kappa: 0.748, kb_relative_information_score: 0.7302, mean_absolute_error: 0.1038, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8956, predictive_accuracy: 0.8962, prior_entropy: 0.8732, recall: 0.8962, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3222, root_relative_squared_error: 0.7076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.8879, kappa: 0.7283, kb_relative_information_score: 0.71, mean_absolute_error: 0.1116, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8875, predictive_accuracy: 0.8884, prior_entropy: 0.8732, recall: 0.8884, relative_absolute_error: 0.269, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.334, root_relative_squared_error: 0.7336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8499, kappa: 0.6389, kb_relative_information_score: 0.609, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8503, predictive_accuracy: 0.8496, prior_entropy: 0.8732, recall: 0.8496, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7258, f_measure: 0.7778, kappa: 0.4596, kb_relative_information_score: 0.4276, mean_absolute_error: 0.2202, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7763, predictive_accuracy: 0.7798, prior_entropy: 0.8732, recall: 0.7798, relative_absolute_error: 0.531, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4693, root_relative_squared_error: 1.0305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8499, kappa: 0.6389, kb_relative_information_score: 0.609, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8503, predictive_accuracy: 0.8496, prior_entropy: 0.8732, recall: 0.8496, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8499, kappa: 0.6389, kb_relative_information_score: 0.609, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8503, predictive_accuracy: 0.8496, prior_entropy: 0.8732, recall: 0.8496, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8209, f_measure: 0.8499, kappa: 0.6389, kb_relative_information_score: 0.609, mean_absolute_error: 0.1504, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8503, predictive_accuracy: 0.8496, prior_entropy: 0.8732, recall: 0.8496, relative_absolute_error: 0.3627, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4572, f_measure: 0.5496, kappa: -0.0855, kb_relative_information_score: -0.1712, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.5498, predictive_accuracy: 0.5494, prior_entropy: 0.8732, recall: 0.5494, relative_absolute_error: 1.0865, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.6713, root_relative_squared_error: 1.4741,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8033, f_measure: 0.834, kappa: 0.6014, kb_relative_information_score: 0.5666, mean_absolute_error: 0.1667, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8348, predictive_accuracy: 0.8333, prior_entropy: 0.8732, recall: 0.8333, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4083, root_relative_squared_error: 0.8967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7928, f_measure: 0.8246, kappa: 0.5793, kb_relative_information_score: 0.5416, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8257, predictive_accuracy: 0.8236, prior_entropy: 0.8732, recall: 0.8236, relative_absolute_error: 0.4252, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.9222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.8527, kappa: 0.6456, kb_relative_information_score: 0.6162, mean_absolute_error: 0.1477, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8531, predictive_accuracy: 0.8523, prior_entropy: 0.8732, recall: 0.8523, relative_absolute_error: 0.3561, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3843, root_relative_squared_error: 0.8439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7737, kappa: 0.4489, kb_relative_information_score: 0.418, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7719, predictive_accuracy: 0.7761, prior_entropy: 0.8732, recall: 0.7761, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.7722, kappa: 0.4453, kb_relative_information_score: 0.4142, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7704, predictive_accuracy: 0.7746, prior_entropy: 0.8732, recall: 0.7746, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7561, kappa: 0.4003, kb_relative_information_score: 0.3814, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7533, predictive_accuracy: 0.762, prior_entropy: 0.8732, recall: 0.762, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.0713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.7754, kappa: 0.4538, kb_relative_information_score: 0.4219, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7739, predictive_accuracy: 0.7776, prior_entropy: 0.8732, recall: 0.7776, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.7728, kappa: 0.4465, kb_relative_information_score: 0.4161, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.771, predictive_accuracy: 0.7754, prior_entropy: 0.8732, recall: 0.7754, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.474, root_relative_squared_error: 1.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.7752, kappa: 0.4518, kb_relative_information_score: 0.4228, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7733, predictive_accuracy: 0.7779, prior_entropy: 0.8732, recall: 0.7779, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.0349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.7647, kappa: 0.4233, kb_relative_information_score: 0.4002, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7622, predictive_accuracy: 0.7692, prior_entropy: 0.8732, recall: 0.7692, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.0549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.765, kappa: 0.4243, kb_relative_information_score: 0.4007, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7626, predictive_accuracy: 0.7694, prior_entropy: 0.8732, recall: 0.7694, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.0545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7552, kappa: 0.3968, kb_relative_information_score: 0.3814, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7524, predictive_accuracy: 0.762, prior_entropy: 0.8732, recall: 0.762, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.0713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7182, f_measure: 0.7728, kappa: 0.4464, kb_relative_information_score: 0.4166, mean_absolute_error: 0.2245, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.771, predictive_accuracy: 0.7755, prior_entropy: 0.8732, recall: 0.7755, relative_absolute_error: 0.5412, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.744, kappa: 0.3656, kb_relative_information_score: 0.3603, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7413, predictive_accuracy: 0.7539, prior_entropy: 0.8732, recall: 0.7539, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.7666, kappa: 0.427, kb_relative_information_score: 0.4065, mean_absolute_error: 0.2283, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7641, predictive_accuracy: 0.7717, prior_entropy: 0.8732, recall: 0.7717, relative_absolute_error: 0.5506, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7116, f_measure: 0.7689, kappa: 0.4353, kb_relative_information_score: 0.4084, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7667, predictive_accuracy: 0.7724, prior_entropy: 0.8732, recall: 0.7724, relative_absolute_error: 0.5488, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4771, root_relative_squared_error: 1.0477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.7657, kappa: 0.4264, kb_relative_information_score: 0.4021, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7634, predictive_accuracy: 0.77, prior_entropy: 0.8732, recall: 0.77, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.7767, kappa: 0.4569, kb_relative_information_score: 0.4252, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7751, predictive_accuracy: 0.7789, prior_entropy: 0.8732, recall: 0.7789, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.7799, kappa: 0.4638, kb_relative_information_score: 0.4344, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7782, predictive_accuracy: 0.7824, prior_entropy: 0.8732, recall: 0.7824, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4665, root_relative_squared_error: 1.0245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7848, f_measure: 0.8153, kappa: 0.559, kb_relative_information_score: 0.5156, mean_absolute_error: 0.1863, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8176, predictive_accuracy: 0.8137, prior_entropy: 0.8732, recall: 0.8137, relative_absolute_error: 0.4493, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4317, root_relative_squared_error: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.7116, kappa: 0.2736, kb_relative_information_score: 0.3189, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7159, predictive_accuracy: 0.738, prior_entropy: 0.8732, recall: 0.738, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.7293, kappa: 0.3231, kb_relative_information_score: 0.3396, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7285, predictive_accuracy: 0.7459, prior_entropy: 0.8732, recall: 0.7459, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7269, f_measure: 0.7799, kappa: 0.4638, kb_relative_information_score: 0.4344, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7782, predictive_accuracy: 0.7824, prior_entropy: 0.8732, recall: 0.7824, relative_absolute_error: 0.5247, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4665, root_relative_squared_error: 1.0245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7243, f_measure: 0.7767, kappa: 0.4569, kb_relative_information_score: 0.4252, mean_absolute_error: 0.2211, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7751, predictive_accuracy: 0.7789, prior_entropy: 0.8732, recall: 0.7789, relative_absolute_error: 0.5332, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4702, root_relative_squared_error: 1.0327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.7116, kappa: 0.2736, kb_relative_information_score: 0.3189, mean_absolute_error: 0.262, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7159, predictive_accuracy: 0.738, prior_entropy: 0.8732, recall: 0.738, relative_absolute_error: 0.6318, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5119, root_relative_squared_error: 1.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7042, f_measure: 0.7647, kappa: 0.4233, kb_relative_information_score: 0.4002, mean_absolute_error: 0.2308, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7622, predictive_accuracy: 0.7692, prior_entropy: 0.8732, recall: 0.7692, relative_absolute_error: 0.5564, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.0549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7207, f_measure: 0.7752, kappa: 0.4518, kb_relative_information_score: 0.4228, mean_absolute_error: 0.2221, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7733, predictive_accuracy: 0.7779, prior_entropy: 0.8732, recall: 0.7779, relative_absolute_error: 0.5354, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4712, root_relative_squared_error: 1.0349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6463, f_measure: 0.7289, kappa: 0.3224, kb_relative_information_score: 0.3372, mean_absolute_error: 0.255, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7277, predictive_accuracy: 0.745, prior_entropy: 0.8732, recall: 0.745, relative_absolute_error: 0.6148, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.505, root_relative_squared_error: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.7561, kappa: 0.4003, kb_relative_information_score: 0.3814, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7533, predictive_accuracy: 0.762, prior_entropy: 0.8732, recall: 0.762, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.0713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7228, f_measure: 0.7754, kappa: 0.4538, kb_relative_information_score: 0.4219, mean_absolute_error: 0.2224, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7739, predictive_accuracy: 0.7776, prior_entropy: 0.8732, recall: 0.7776, relative_absolute_error: 0.5363, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7737, kappa: 0.4489, kb_relative_information_score: 0.418, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7719, predictive_accuracy: 0.7761, prior_entropy: 0.8732, recall: 0.7761, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.7728, kappa: 0.4465, kb_relative_information_score: 0.4161, mean_absolute_error: 0.2246, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.771, predictive_accuracy: 0.7754, prior_entropy: 0.8732, recall: 0.7754, relative_absolute_error: 0.5417, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.474, root_relative_squared_error: 1.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.8722, kappa: 0.6893, kb_relative_information_score: 0.671, mean_absolute_error: 0.1266, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8717, predictive_accuracy: 0.8734, prior_entropy: 0.8732, recall: 0.8734, relative_absolute_error: 0.3052, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3558, root_relative_squared_error: 0.7813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.833, f_measure: 0.8634, kappa: 0.6698, kb_relative_information_score: 0.646, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8631, predictive_accuracy: 0.8638, prior_entropy: 0.8732, recall: 0.8638, relative_absolute_error: 0.3284, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.369, root_relative_squared_error: 0.8105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7253, f_measure: 0.7772, kappa: 0.4584, kb_relative_information_score: 0.4262, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7757, predictive_accuracy: 0.7792, prior_entropy: 0.8732, recall: 0.7792, relative_absolute_error: 0.5323, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4699, root_relative_squared_error: 1.0318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8357, f_measure: 0.8698, kappa: 0.6834, kb_relative_information_score: 0.6648, mean_absolute_error: 0.129, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8693, predictive_accuracy: 0.871, prior_entropy: 0.8732, recall: 0.871, relative_absolute_error: 0.311, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3591, root_relative_squared_error: 0.7887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8376, f_measure: 0.871, kappa: 0.6865, kb_relative_information_score: 0.6676, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.8705, predictive_accuracy: 0.8721, prior_entropy: 0.8732, recall: 0.8721, relative_absolute_error: 0.3083, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.3576, root_relative_squared_error: 0.7853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.751, f_measure: 0.7954, kappa: 0.5052, kb_relative_information_score: 0.47, mean_absolute_error: 0.2039, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7948, predictive_accuracy: 0.7961, prior_entropy: 0.8732, recall: 0.7961, relative_absolute_error: 0.4917, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.749, kappa: 0.379, kb_relative_information_score: 0.3709, mean_absolute_error: 0.242, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7463, predictive_accuracy: 0.758, prior_entropy: 0.8732, recall: 0.758, relative_absolute_error: 0.5836, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.492, root_relative_squared_error: 1.0804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7199, f_measure: 0.7737, kappa: 0.4489, kb_relative_information_score: 0.418, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7719, predictive_accuracy: 0.7761, prior_entropy: 0.8732, recall: 0.7761, relative_absolute_error: 0.5399, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.7657, kappa: 0.4264, kb_relative_information_score: 0.4021, mean_absolute_error: 0.23, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7634, predictive_accuracy: 0.77, prior_entropy: 0.8732, recall: 0.77, relative_absolute_error: 0.5546, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.765, kappa: 0.4243, kb_relative_information_score: 0.4007, mean_absolute_error: 0.2306, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7626, predictive_accuracy: 0.7694, prior_entropy: 0.8732, recall: 0.7694, relative_absolute_error: 0.5559, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4802, root_relative_squared_error: 1.0545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6462, f_measure: 0.7293, kappa: 0.3231, kb_relative_information_score: 0.3396, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7285, predictive_accuracy: 0.7459, prior_entropy: 0.8732, recall: 0.7459, relative_absolute_error: 0.6126, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.5041, root_relative_squared_error: 1.1069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6888, f_measure: 0.7552, kappa: 0.3968, kb_relative_information_score: 0.3814, mean_absolute_error: 0.238, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7524, predictive_accuracy: 0.762, prior_entropy: 0.8732, recall: 0.762, relative_absolute_error: 0.5738, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4878, root_relative_squared_error: 1.0713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.671, f_measure: 0.744, kappa: 0.3656, kb_relative_information_score: 0.3603, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7413, predictive_accuracy: 0.7539, prior_entropy: 0.8732, recall: 0.7539, relative_absolute_error: 0.5934, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4961, root_relative_squared_error: 1.0895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4646, f_measure: 0.5556, kappa: -0.0707, kb_relative_information_score: -0.1563, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.556, predictive_accuracy: 0.5551, prior_entropy: 0.8732, recall: 0.5551, relative_absolute_error: 1.0726, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.667, root_relative_squared_error: 1.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.7722, kappa: 0.4453, kb_relative_information_score: 0.4142, mean_absolute_error: 0.2254, mean_prior_absolute_error: 0.4147, number_of_instances: 5404, precision: 0.7704, predictive_accuracy: 0.7746, prior_entropy: 0.8732, recall: 0.7746, relative_absolute_error: 0.5435, root_mean_prior_squared_error: 0.4554, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0426,

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

OpenML APIs