Task
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 13586 runs submitted
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13586 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6663, f_measure: 0.6352, kappa: 0.2683, kb_relative_information_score: 25850.7708, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6354, predictive_accuracy: 0.635, prior_entropy: 0.9976, recall: 0.635, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.562, root_relative_squared_error: 1.1259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.6351, kappa: 0.2678, kb_relative_information_score: 26004.4247, mean_absolute_error: 0.3657, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6351, predictive_accuracy: 0.635, prior_entropy: 0.9976, recall: 0.635, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5837, root_relative_squared_error: 1.1692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, f_measure: 0.6421, kappa: 0.2822, kb_relative_information_score: 25869.6923, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6423, predictive_accuracy: 0.6419, prior_entropy: 0.9976, recall: 0.6419, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5199, root_relative_squared_error: 1.0416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.6553, kappa: 0.3085, kb_relative_information_score: 25817.8699, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6554, predictive_accuracy: 0.6553, prior_entropy: 0.9976, recall: 0.6553, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.9846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.6569, kappa: 0.3116, kb_relative_information_score: 26098.1019, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6569, predictive_accuracy: 0.6568, prior_entropy: 0.9976, recall: 0.6568, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.659, kappa: 0.3158, kb_relative_information_score: 25811.8158, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.659, predictive_accuracy: 0.6589, prior_entropy: 0.9976, recall: 0.6589, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.6614, kappa: 0.3207, kb_relative_information_score: 25850.6852, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6614, predictive_accuracy: 0.6613, prior_entropy: 0.9976, recall: 0.6613, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4826, root_relative_squared_error: 0.9668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6834, f_measure: 0.6377, kappa: 0.2734, kb_relative_information_score: 25834.2612, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6379, predictive_accuracy: 0.6375, prior_entropy: 0.9976, recall: 0.6375, relative_absolute_error: 0.737, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5399, root_relative_squared_error: 1.0817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6558, kappa: 0.3094, kb_relative_information_score: 25864.1029, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6558, predictive_accuracy: 0.6557, prior_entropy: 0.9976, recall: 0.6557, relative_absolute_error: 0.7443, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9842,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.6512, kappa: 0.3002, kb_relative_information_score: 25778.4352, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6512, predictive_accuracy: 0.6511, prior_entropy: 0.9976, recall: 0.6511, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5009, root_relative_squared_error: 1.0034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6568, f_measure: 0.633, kappa: 0.2646, kb_relative_information_score: 25773.4397, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6337, predictive_accuracy: 0.6328, prior_entropy: 0.9976, recall: 0.6328, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5733, root_relative_squared_error: 1.1485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.6551, kappa: 0.308, kb_relative_information_score: 25904.0019, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6551, predictive_accuracy: 0.6551, prior_entropy: 0.9976, recall: 0.6551, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4939, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6757, f_measure: 0.6382, kappa: 0.2746, kb_relative_information_score: 26075.0514, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6386, predictive_accuracy: 0.638, prior_entropy: 0.9976, recall: 0.638, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5499, root_relative_squared_error: 1.1016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6335, kappa: 0.2655, kb_relative_information_score: 25825.3493, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6341, predictive_accuracy: 0.6332, prior_entropy: 0.9976, recall: 0.6332, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5705, root_relative_squared_error: 1.1428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6357, kappa: 0.2695, kb_relative_information_score: 25746.6973, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.636, predictive_accuracy: 0.6355, prior_entropy: 0.9976, recall: 0.6355, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.556, root_relative_squared_error: 1.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.6522, kappa: 0.302, kb_relative_information_score: 25977.027, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6522, predictive_accuracy: 0.6522, prior_entropy: 0.9976, recall: 0.6522, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6552, kappa: 0.3082, kb_relative_information_score: 26065.2789, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6552, predictive_accuracy: 0.6552, prior_entropy: 0.9976, recall: 0.6552, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.6456, kappa: 0.2893, kb_relative_information_score: 25651.3879, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6459, predictive_accuracy: 0.6454, prior_entropy: 0.9976, recall: 0.6454, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.6595, kappa: 0.3169, kb_relative_information_score: 25871.4521, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6596, predictive_accuracy: 0.6594, prior_entropy: 0.9976, recall: 0.6594, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.6594, kappa: 0.3166, kb_relative_information_score: 25858.9337, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6594, predictive_accuracy: 0.6593, prior_entropy: 0.9976, recall: 0.6593, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.6512, kappa: 0.3002, kb_relative_information_score: 25734.6756, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6512, predictive_accuracy: 0.6511, prior_entropy: 0.9976, recall: 0.6511, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7063, f_measure: 0.6511, kappa: 0.3, kb_relative_information_score: 25713.5203, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6512, predictive_accuracy: 0.651, prior_entropy: 0.9976, recall: 0.651, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.6472, kappa: 0.2921, kb_relative_information_score: 25877.288, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6472, predictive_accuracy: 0.6471, prior_entropy: 0.9976, recall: 0.6471, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6695, f_measure: 0.6326, kappa: 0.2633, kb_relative_information_score: 25045.1153, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6329, predictive_accuracy: 0.6324, prior_entropy: 0.9976, recall: 0.6324, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5516, root_relative_squared_error: 1.1049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6497, f_measure: 0.632, kappa: 0.2624, kb_relative_information_score: 25767.0605, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6325, predictive_accuracy: 0.6317, prior_entropy: 0.9976, recall: 0.6317, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5836, root_relative_squared_error: 1.1692,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6713, f_measure: 0.636, kappa: 0.2701, kb_relative_information_score: 25820.0775, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6363, predictive_accuracy: 0.6358, prior_entropy: 0.9976, recall: 0.6358, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5559, root_relative_squared_error: 1.1135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.6495, kappa: 0.2969, kb_relative_information_score: 25924.4305, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6496, predictive_accuracy: 0.6495, prior_entropy: 0.9976, recall: 0.6495, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5017, root_relative_squared_error: 1.0051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.6547, kappa: 0.3073, kb_relative_information_score: 25835.3902, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6548, predictive_accuracy: 0.6547, prior_entropy: 0.9976, recall: 0.6547, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.494, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.718, f_measure: 0.6544, kappa: 0.3066, kb_relative_information_score: 26080.909, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6544, predictive_accuracy: 0.6543, prior_entropy: 0.9976, recall: 0.6543, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4888, root_relative_squared_error: 0.9793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.6595, kappa: 0.3169, kb_relative_information_score: 25851.058, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6596, predictive_accuracy: 0.6594, prior_entropy: 0.9976, recall: 0.6594, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7079, f_measure: 0.6496, kappa: 0.297, kb_relative_information_score: 25860.267, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6497, predictive_accuracy: 0.6495, prior_entropy: 0.9976, recall: 0.6495, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5021, root_relative_squared_error: 1.0058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.6457, kappa: 0.2896, kb_relative_information_score: 25720.4301, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.646, predictive_accuracy: 0.6455, prior_entropy: 0.9976, recall: 0.6455, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.0289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.642, kappa: 0.282, kb_relative_information_score: 25551.2622, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6422, predictive_accuracy: 0.6418, prior_entropy: 0.9976, recall: 0.6418, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5227, root_relative_squared_error: 1.047,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.6577, kappa: 0.3131, kb_relative_information_score: 25918.503, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6577, predictive_accuracy: 0.6577, prior_entropy: 0.9976, recall: 0.6577, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.6414, kappa: 0.281, kb_relative_information_score: 25423.8349, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6418, predictive_accuracy: 0.6412, prior_entropy: 0.9976, recall: 0.6412, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.524, root_relative_squared_error: 1.0496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6514, kappa: 0.3007, kb_relative_information_score: 26004.4603, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6515, predictive_accuracy: 0.6514, prior_entropy: 0.9976, recall: 0.6514, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4948, root_relative_squared_error: 0.9912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6456, f_measure: 0.6249, kappa: 0.2479, kb_relative_information_score: 24388.4055, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6252, predictive_accuracy: 0.6247, prior_entropy: 0.9976, recall: 0.6247, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5843, root_relative_squared_error: 1.1705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.6383, kappa: 0.2747, kb_relative_information_score: 25246.8028, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6386, predictive_accuracy: 0.6381, prior_entropy: 0.9976, recall: 0.6381, relative_absolute_error: 0.7444, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.0563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7119, f_measure: 0.6512, kappa: 0.3001, kb_relative_information_score: 26081.2896, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6512, predictive_accuracy: 0.6512, prior_entropy: 0.9976, recall: 0.6512, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6528, kappa: 0.3037, kb_relative_information_score: 25789.4356, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.653, predictive_accuracy: 0.6527, prior_entropy: 0.9976, recall: 0.6527, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4976, root_relative_squared_error: 0.9968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6738, f_measure: 0.6347, kappa: 0.2678, kb_relative_information_score: 25696.0094, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6352, predictive_accuracy: 0.6345, prior_entropy: 0.9976, recall: 0.6345, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5519, root_relative_squared_error: 1.1056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6569, f_measure: 0.6339, kappa: 0.2658, kb_relative_information_score: 25929.6354, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6342, predictive_accuracy: 0.6337, prior_entropy: 0.9976, recall: 0.6337, relative_absolute_error: 0.7344, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5759, root_relative_squared_error: 1.1536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, f_measure: 0.6324, kappa: 0.2625, kb_relative_information_score: 25703.9414, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6324, predictive_accuracy: 0.6324, prior_entropy: 0.9976, recall: 0.6324, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6033, root_relative_squared_error: 1.2086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.6602, kappa: 0.3182, kb_relative_information_score: 25863.5103, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6602, predictive_accuracy: 0.6602, prior_entropy: 0.9976, recall: 0.6602, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9703,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.6472, kappa: 0.2921, kb_relative_information_score: 25873.8897, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6472, predictive_accuracy: 0.6471, prior_entropy: 0.9976, recall: 0.6471, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.6444, kappa: 0.2867, kb_relative_information_score: 25597.7489, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6445, predictive_accuracy: 0.6443, prior_entropy: 0.9976, recall: 0.6443, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5195, root_relative_squared_error: 1.0408,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.6384, kappa: 0.2752, kb_relative_information_score: 25920.7654, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6389, predictive_accuracy: 0.6382, prior_entropy: 0.9976, recall: 0.6382, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5332, root_relative_squared_error: 1.0682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.6312, kappa: 0.2615, kb_relative_information_score: 25066.3671, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6323, predictive_accuracy: 0.6309, prior_entropy: 0.9976, recall: 0.6309, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5536, root_relative_squared_error: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.6509, kappa: 0.2997, kb_relative_information_score: 25713.0499, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.651, predictive_accuracy: 0.6509, prior_entropy: 0.9976, recall: 0.6509, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.648, kappa: 0.294, kb_relative_information_score: 25770.6985, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6482, predictive_accuracy: 0.6479, prior_entropy: 0.9976, recall: 0.6479, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.0193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6398, kappa: 0.2775, kb_relative_information_score: 25802.8451, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6399, predictive_accuracy: 0.6396, prior_entropy: 0.9976, recall: 0.6396, relative_absolute_error: 0.7386, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.6557, kappa: 0.3093, kb_relative_information_score: 25863.6088, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6558, predictive_accuracy: 0.6556, prior_entropy: 0.9976, recall: 0.6556, relative_absolute_error: 0.7443, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.6447, kappa: 0.2873, kb_relative_information_score: 25724.2436, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6449, predictive_accuracy: 0.6445, prior_entropy: 0.9976, recall: 0.6445, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5102, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.6552, kappa: 0.3082, kb_relative_information_score: 25876.9981, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6552, predictive_accuracy: 0.6552, prior_entropy: 0.9976, recall: 0.6552, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7003, f_measure: 0.6433, kappa: 0.2845, kb_relative_information_score: 25845.6717, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6434, predictive_accuracy: 0.6433, prior_entropy: 0.9976, recall: 0.6433, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5144, root_relative_squared_error: 1.0304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6553, kappa: 0.3084, kb_relative_information_score: 25916.3231, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6553, predictive_accuracy: 0.6553, prior_entropy: 0.9976, recall: 0.6553, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4937, root_relative_squared_error: 0.9889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.6344, kappa: 0.2668, kb_relative_information_score: 25947.7655, mean_absolute_error: 0.366, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6346, predictive_accuracy: 0.6343, prior_entropy: 0.9976, recall: 0.6343, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5779, root_relative_squared_error: 1.1576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.6456, kappa: 0.2894, kb_relative_information_score: 25677.1862, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.646, predictive_accuracy: 0.6454, prior_entropy: 0.9976, recall: 0.6454, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0293,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs