Task
Supervised Classification on veteran

Supervised Classification on veteran

Task 3585 Supervised Classification veteran 764 runs submitted
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  • mythbusting_1 study_1 study_107 study_123 study_15 study_20 study_41 study_7 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6049, f_measure: 0.6447, kappa: 0.1458, kb_relative_information_score: 16.1626, mean_absolute_error: 0.3653, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6394, predictive_accuracy: 0.6715, prior_entropy: 0.9006, recall: 0.6715, relative_absolute_error: 0.8463, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5237, root_relative_squared_error: 1.1285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4332, f_measure: 0.5577, kappa: -0.0487, kb_relative_information_score: -5.9671, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.5274, predictive_accuracy: 0.6423, prior_entropy: 0.9006, recall: 0.6423, relative_absolute_error: 1.0224, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4828, root_relative_squared_error: 1.0405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6468, f_measure: 0.617, kappa: 0.0808, kb_relative_information_score: 9.0322, mean_absolute_error: 0.3972, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6193, predictive_accuracy: 0.6715, prior_entropy: 0.9006, recall: 0.6715, relative_absolute_error: 0.92, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4542, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6644, f_measure: 0.7228, kappa: 0.344, kb_relative_information_score: 45.809, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7198, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.6256, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.1198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6212, f_measure: 0.6221, kappa: 0.0954, kb_relative_information_score: 9.5636, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6129, predictive_accuracy: 0.6423, prior_entropy: 0.9006, recall: 0.6423, relative_absolute_error: 0.8987, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4879, root_relative_squared_error: 1.0514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.6534, kappa: 0.1881, kb_relative_information_score: 12.8526, mean_absolute_error: 0.3785, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6505, predictive_accuracy: 0.6569, prior_entropy: 0.9006, recall: 0.6569, relative_absolute_error: 0.8768, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5038, root_relative_squared_error: 1.0855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6162, f_measure: 0.7308, kappa: 0.3769, kb_relative_information_score: 24.5679, mean_absolute_error: 0.3548, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7317, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4427, root_relative_squared_error: 0.9539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6952, f_measure: 0.7139, kappa: 0.3118, kb_relative_information_score: 26.2513, mean_absolute_error: 0.3482, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7216, predictive_accuracy: 0.7372, prior_entropy: 0.9006, recall: 0.7372, relative_absolute_error: 0.8065, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7234, f_measure: 0.7266, kappa: 0.3488, kb_relative_information_score: 20.2355, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7246, predictive_accuracy: 0.7372, prior_entropy: 0.9006, recall: 0.7372, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4347, root_relative_squared_error: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6011, f_measure: 0.6763, kappa: 0.2217, kb_relative_information_score: 16.543, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6759, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.879, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.7308, kappa: 0.3769, kb_relative_information_score: 23.0677, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7317, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5741, f_measure: 0.6121, kappa: 0.0841, kb_relative_information_score: 1.3341, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6059, predictive_accuracy: 0.6204, prior_entropy: 0.9006, recall: 0.6204, relative_absolute_error: 0.928, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5161, root_relative_squared_error: 1.1121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.6829, kappa: 0.2572, kb_relative_information_score: 35.8043, mean_absolute_error: 0.298, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6804, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.6904, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5116, root_relative_squared_error: 1.1024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6258, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 21.5494, mean_absolute_error: 0.3655, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7283, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.8466, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.7485, kappa: 0.3944, kb_relative_information_score: 25.0054, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7735, predictive_accuracy: 0.7737, prior_entropy: 0.9006, recall: 0.7737, relative_absolute_error: 0.816, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4181, root_relative_squared_error: 0.9009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7413, f_measure: 0.7251, kappa: 0.3525, kb_relative_information_score: 27.0471, mean_absolute_error: 0.3433, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7223, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4288, root_relative_squared_error: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6655, f_measure: 0.6829, kappa: 0.2572, kb_relative_information_score: 20.6857, mean_absolute_error: 0.3551, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6804, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.472, root_relative_squared_error: 1.0172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6159, f_measure: 0.7018, kappa: 0.2837, kb_relative_information_score: 13.605, mean_absolute_error: 0.3852, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7037, predictive_accuracy: 0.7226, prior_entropy: 0.9006, recall: 0.7226, relative_absolute_error: 0.8922, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4424, root_relative_squared_error: 0.9533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6816, f_measure: 0.6802, kappa: 0.2325, kb_relative_information_score: 18.2505, mean_absolute_error: 0.3628, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.678, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4541, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.7236, kappa: 0.3356, kb_relative_information_score: 39.8526, mean_absolute_error: 0.2927, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7306, predictive_accuracy: 0.7445, prior_entropy: 0.9006, recall: 0.7445, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.684, kappa: 0.2504, kb_relative_information_score: 19.8392, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6794, predictive_accuracy: 0.6934, prior_entropy: 0.9006, recall: 0.6934, relative_absolute_error: 0.8191, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4548, root_relative_squared_error: 0.9801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.666, kappa: 0.2081, kb_relative_information_score: 10.7555, mean_absolute_error: 0.3995, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7481, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.9254, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4633, f_measure: 0.5584, kb_relative_information_score: -0.3589, mean_absolute_error: 0.432, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.4708, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4643, root_relative_squared_error: 1.0005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6188, f_measure: 0.6471, kappa: 0.1566, kb_relative_information_score: 10.1396, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6402, predictive_accuracy: 0.6642, prior_entropy: 0.9006, recall: 0.6642, relative_absolute_error: 0.8734, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4727, root_relative_squared_error: 1.0185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6228, f_measure: 0.7018, kappa: 0.2837, kb_relative_information_score: 14.8512, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7037, predictive_accuracy: 0.7226, prior_entropy: 0.9006, recall: 0.7226, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.704, kappa: 0.2876, kb_relative_information_score: 18.8107, mean_absolute_error: 0.3578, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7123, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.8288, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4559, root_relative_squared_error: 0.9823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.6779, kappa: 0.2376, kb_relative_information_score: 23.4273, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6732, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.1103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7276, f_measure: 0.7243, kappa: 0.364, kb_relative_information_score: 22.8341, mean_absolute_error: 0.351, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7263, predictive_accuracy: 0.7226, prior_entropy: 0.9006, recall: 0.7226, relative_absolute_error: 0.8131, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.9517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.6962, kappa: 0.2765, kb_relative_information_score: 26.077, mean_absolute_error: 0.3429, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6924, predictive_accuracy: 0.708, prior_entropy: 0.9006, recall: 0.708, relative_absolute_error: 0.7944, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4377, root_relative_squared_error: 0.9433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6116, f_measure: 0.6838, kappa: 0.2431, kb_relative_information_score: 35.9994, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6804, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.1788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 21.9398, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7283, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7348, f_measure: 0.7518, kappa: 0.4238, kb_relative_information_score: 24.1715, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7518, predictive_accuracy: 0.7518, prior_entropy: 0.9006, recall: 0.7518, relative_absolute_error: 0.8049, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.73, kappa: 0.3539, kb_relative_information_score: 29.6873, mean_absolute_error: 0.3301, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.731, predictive_accuracy: 0.7445, prior_entropy: 0.9006, recall: 0.7445, relative_absolute_error: 0.7647, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.9102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6275, f_measure: 0.7018, kappa: 0.2837, kb_relative_information_score: 43.3566, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7037, predictive_accuracy: 0.7226, prior_entropy: 0.9006, recall: 0.7226, relative_absolute_error: 0.6425, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5267, root_relative_squared_error: 1.1349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.6779, kappa: 0.2376, kb_relative_information_score: 23.4273, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6732, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.1103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5927, f_measure: 0.672, kappa: 0.2105, kb_relative_information_score: 35.9994, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.674, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.1788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.7592, kappa: 0.4289, kb_relative_information_score: 37.156, mean_absolute_error: 0.3152, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7579, predictive_accuracy: 0.7664, prior_entropy: 0.9006, recall: 0.7664, relative_absolute_error: 0.7301, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4076, root_relative_squared_error: 0.8783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 21.9398, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7283, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6901, kappa: 0.2633, kb_relative_information_score: 35.9994, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6858, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.1788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5584, kb_relative_information_score: 31.0946, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.4708, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.2072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6901, kappa: 0.2633, kb_relative_information_score: 35.9994, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6858, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.1788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5584, kb_relative_information_score: 31.0946, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.4708, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.2072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6901, kappa: 0.2633, kb_relative_information_score: 35.9994, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6858, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.1788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5584, kb_relative_information_score: 31.0946, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.4708, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.2072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6901, kappa: 0.2633, kb_relative_information_score: 35.9994, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6858, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.1788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5584, kb_relative_information_score: 31.0946, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.4708, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.2072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.6068, kappa: 0.0543, kb_relative_information_score: 21.285, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6006, predictive_accuracy: 0.6569, prior_entropy: 0.9006, recall: 0.6569, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5857, root_relative_squared_error: 1.2621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.6068, kappa: 0.0543, kb_relative_information_score: 21.285, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6006, predictive_accuracy: 0.6569, prior_entropy: 0.9006, recall: 0.6569, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5857, root_relative_squared_error: 1.2621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6901, kappa: 0.2633, kb_relative_information_score: 35.9994, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6858, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.1788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6901, kappa: 0.2633, kb_relative_information_score: 35.9994, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6858, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.1788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.6068, kappa: 0.0543, kb_relative_information_score: 21.285, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6006, predictive_accuracy: 0.6569, prior_entropy: 0.9006, recall: 0.6569, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5857, root_relative_squared_error: 1.2621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5229, f_measure: 0.6068, kappa: 0.0543, kb_relative_information_score: 21.285, mean_absolute_error: 0.3431, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6006, predictive_accuracy: 0.6569, prior_entropy: 0.9006, recall: 0.6569, relative_absolute_error: 0.7947, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5857, root_relative_squared_error: 1.2621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6901, kappa: 0.2633, kb_relative_information_score: 35.9994, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6858, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.1788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6242, f_measure: 0.6901, kappa: 0.2633, kb_relative_information_score: 35.9994, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6858, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.1788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, f_measure: 0.5712, kappa: 0.017, kb_relative_information_score: 6.066, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6296, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.9632, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4537, root_relative_squared_error: 0.9776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.72, kappa: 0.3261, kb_relative_information_score: 21.1265, mean_absolute_error: 0.3569, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7314, predictive_accuracy: 0.7445, prior_entropy: 0.9006, recall: 0.7445, relative_absolute_error: 0.8268, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.9593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5816, f_measure: 0.6412, kappa: 0.1643, kb_relative_information_score: 16.3802, mean_absolute_error: 0.3577, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6401, predictive_accuracy: 0.6423, prior_entropy: 0.9006, recall: 0.6423, relative_absolute_error: 0.8285, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5981, root_relative_squared_error: 1.2887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.6329, kappa: 0.1621, kb_relative_information_score: 11.4754, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6396, predictive_accuracy: 0.6277, prior_entropy: 0.9006, recall: 0.6277, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6101, root_relative_squared_error: 1.3147, scimark_benchmark: 1697.6783, usercpu_time_millis: 10000, usercpu_time_millis_training: 10000,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5584, kb_relative_information_score: 31.0946, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.4708, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.2072, scimark_benchmark: 1697.6783, usercpu_time_millis: 15.625, usercpu_time_millis_testing: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.6376, kappa: 0.1362, kb_relative_information_score: 35.9994, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6716, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.1788, scimark_benchmark: 1862.8608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5584, kb_relative_information_score: 31.0946, mean_absolute_error: 0.3139, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.4708, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5602, root_relative_squared_error: 1.2072, scimark_benchmark: 1380.9567, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.6376, kappa: 0.1362, kb_relative_information_score: 35.9994, mean_absolute_error: 0.2993, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6716, predictive_accuracy: 0.7007, prior_entropy: 0.9006, recall: 0.7007, relative_absolute_error: 0.6932, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5471, root_relative_squared_error: 1.1788, scimark_benchmark: 1620.2848, usercpu_time_millis: 10, usercpu_time_millis_testing: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5836, f_measure: 0.6329, kappa: 0.1621, kb_relative_information_score: 11.4754, mean_absolute_error: 0.3723, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6396, predictive_accuracy: 0.6277, prior_entropy: 0.9006, recall: 0.6277, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.6101, root_relative_squared_error: 1.3147, scimark_benchmark: 1384.9149, usercpu_time_millis: 7840, usercpu_time_millis_testing: 10, usercpu_time_millis_training: 7830,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6561, f_measure: 0.6788, kappa: 0.2784, kb_relative_information_score: 21.7435, mean_absolute_error: 0.3495, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6917, predictive_accuracy: 0.6715, prior_entropy: 0.9006, recall: 0.6715, relative_absolute_error: 0.8096, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4738, root_relative_squared_error: 1.0209, scimark_benchmark: 1918.4916, usercpu_time_millis: 390.625, usercpu_time_millis_training: 390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6847, f_measure: 0.7228, kappa: 0.344, kb_relative_information_score: 34.984, mean_absolute_error: 0.3081, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7198, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.7137, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4823, root_relative_squared_error: 1.0393, scimark_benchmark: 1918.4916, usercpu_time_millis: 390.625, usercpu_time_millis_training: 390.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.7039, kappa: 0.3046, kb_relative_information_score: 38.4518, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7011, predictive_accuracy: 0.708, prior_entropy: 0.9006, recall: 0.708, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5403, root_relative_squared_error: 1.1644, scimark_benchmark: 1427.64, usercpu_time_millis: 109.375, usercpu_time_millis_training: 109.375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7339, f_measure: 0.7226, kappa: 0.356, kb_relative_information_score: 35.1248, mean_absolute_error: 0.3054, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7226, predictive_accuracy: 0.7226, prior_entropy: 0.9006, recall: 0.7226, relative_absolute_error: 0.7075, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4882, root_relative_squared_error: 1.0519, scimark_benchmark: 1405.593, usercpu_time_millis: 160, usercpu_time_millis_training: 160,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.7203, kappa: 0.3352, kb_relative_information_score: 35.6766, mean_absolute_error: 0.3058, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7175, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4619, root_relative_squared_error: 0.9953, scimark_benchmark: 1871.4229, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable).
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.7016, kappa: 0.2954, kb_relative_information_score: 38.4518, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.698, predictive_accuracy: 0.708, prior_entropy: 0.9006, recall: 0.708, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5403, root_relative_squared_error: 1.1644, usercpu_time_millis: 206.39, usercpu_time_millis_testing: 3.234, usercpu_time_millis_training: 203.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 21.9398, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7283, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.967, scimark_benchmark: 1187.8333, usercpu_time_millis: 10, usercpu_time_millis_training: 10,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6742, kappa: 0.2193, kb_relative_information_score: 33.547, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6706, predictive_accuracy: 0.6934, prior_entropy: 0.9006, recall: 0.6934, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5537, root_relative_squared_error: 1.1931, scimark_benchmark: 1618.1738,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.7039, kappa: 0.3046, kb_relative_information_score: 38.4518, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7011, predictive_accuracy: 0.708, prior_entropy: 0.9006, recall: 0.708, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5403, root_relative_squared_error: 1.1644, scimark_benchmark: 1618.1738, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6642, f_measure: 0.6854, kappa: 0.2902, kb_relative_information_score: 21.9195, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6964, predictive_accuracy: 0.6788, prior_entropy: 0.9006, recall: 0.6788, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0106, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.7228, kappa: 0.344, kb_relative_information_score: 26.0687, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7198, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9341, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.6599, kappa: 0.2183, kb_relative_information_score: 20.7328, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6635, predictive_accuracy: 0.6569, prior_entropy: 0.9006, recall: 0.6569, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5811, root_relative_squared_error: 1.2521, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.7455, kappa: 0.3908, kb_relative_information_score: 30.4115, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7479, predictive_accuracy: 0.7591, prior_entropy: 0.9006, recall: 0.7591, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.9185, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5922, f_measure: 0.6718, kappa: 0.2169, kb_relative_information_score: 14.5548, mean_absolute_error: 0.3824, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6666, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.8857, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4866, root_relative_squared_error: 1.0486, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.6625, kappa: 0.1891, kb_relative_information_score: 16.4885, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6821, predictive_accuracy: 0.708, prior_entropy: 0.9006, recall: 0.708, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9798, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7233, f_measure: 0.7203, kappa: 0.3352, kb_relative_information_score: 26.6301, mean_absolute_error: 0.3383, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7175, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.7837, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9279, scimark_benchmark: 1744.8652, usercpu_time_millis: 31.25, usercpu_time_millis_testing: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.7308, kappa: 0.3769, kb_relative_information_score: 23.0677, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7317, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9561, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.6779, kappa: 0.2376, kb_relative_information_score: 23.4273, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6732, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.1103, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7204, f_measure: 0.7291, kappa: 0.369, kb_relative_information_score: 21.9398, mean_absolute_error: 0.3522, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7283, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.8159, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.967, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6, f_measure: 0.6742, kappa: 0.2193, kb_relative_information_score: 33.547, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6706, predictive_accuracy: 0.6934, prior_entropy: 0.9006, recall: 0.6934, relative_absolute_error: 0.7101, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5537, root_relative_squared_error: 1.1931, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6484, f_measure: 0.7039, kappa: 0.3046, kb_relative_information_score: 38.4518, mean_absolute_error: 0.292, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7011, predictive_accuracy: 0.708, prior_entropy: 0.9006, recall: 0.708, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5403, root_relative_squared_error: 1.1644, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6854, kappa: 0.2902, kb_relative_information_score: 21.9193, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6964, predictive_accuracy: 0.6788, prior_entropy: 0.9006, recall: 0.6788, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0106, scimark_benchmark: 1744.8652, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.7228, kappa: 0.344, kb_relative_information_score: 26.0687, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7198, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9341, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6032, f_measure: 0.6599, kappa: 0.2183, kb_relative_information_score: 20.7328, mean_absolute_error: 0.3456, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6635, predictive_accuracy: 0.6569, prior_entropy: 0.9006, recall: 0.6569, relative_absolute_error: 0.8005, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5811, root_relative_squared_error: 1.2521, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.7455, kappa: 0.3908, kb_relative_information_score: 30.4115, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7479, predictive_accuracy: 0.7591, prior_entropy: 0.9006, recall: 0.7591, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.9185, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6123, f_measure: 0.6742, kappa: 0.2193, kb_relative_information_score: 15.5744, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6706, predictive_accuracy: 0.6934, prior_entropy: 0.9006, recall: 0.6934, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.023, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5877, f_measure: 0.6625, kappa: 0.1891, kb_relative_information_score: 16.4885, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6821, predictive_accuracy: 0.708, prior_entropy: 0.9006, recall: 0.708, relative_absolute_error: 0.8713, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9798, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7241, f_measure: 0.7203, kappa: 0.3352, kb_relative_information_score: 24.9351, mean_absolute_error: 0.3435, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7175, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.936, scimark_benchmark: 1744.8652, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7281, f_measure: 0.7308, kappa: 0.3769, kb_relative_information_score: 23.0677, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7317, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.8088, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9561, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.6779, kappa: 0.2376, kb_relative_information_score: 23.4273, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6732, predictive_accuracy: 0.6861, prior_entropy: 0.9006, recall: 0.6861, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.5153, root_relative_squared_error: 1.1103, scimark_benchmark: 1744.8652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7387, f_measure: 0.7228, kappa: 0.344, kb_relative_information_score: 26.0687, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7198, predictive_accuracy: 0.7299, prior_entropy: 0.9006, recall: 0.7299, relative_absolute_error: 0.7958, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9341, scimark_benchmark: 1834.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7478, f_measure: 0.7455, kappa: 0.3908, kb_relative_information_score: 30.4115, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7479, predictive_accuracy: 0.7591, prior_entropy: 0.9006, recall: 0.7591, relative_absolute_error: 0.7736, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.9185, scimark_benchmark: 1788.6668, usercpu_time_millis: 15.625, usercpu_time_millis_training: 15.625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6648, f_measure: 0.6854, kappa: 0.2902, kb_relative_information_score: 21.921, mean_absolute_error: 0.349, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.6964, predictive_accuracy: 0.6788, prior_entropy: 0.9006, recall: 0.6788, relative_absolute_error: 0.8084, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.469, root_relative_squared_error: 1.0106, scimark_benchmark: 1788.6668, usercpu_time_millis: 46.875, usercpu_time_millis_training: 46.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.7085, kappa: 0.3033, kb_relative_information_score: 25.3542, mean_absolute_error: 0.3491, mean_prior_absolute_error: 0.4317, number_of_instances: 137, precision: 0.7066, predictive_accuracy: 0.7226, prior_entropy: 0.9006, recall: 0.7226, relative_absolute_error: 0.8086, root_mean_prior_squared_error: 0.4641, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.9391, scimark_benchmark: 1788.6668,

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