OpenML
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: 0.6937, f_measure: 0.6441, kappa: 0.2861, kb_relative_information_score: 25593.13, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6443, predictive_accuracy: 0.644, prior_entropy: 0.9976, recall: 0.644, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5195, root_relative_squared_error: 1.0407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7217, f_measure: 0.6616, kappa: 0.3212, kb_relative_information_score: 25899.4754, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6617, predictive_accuracy: 0.6616, prior_entropy: 0.9976, recall: 0.6616, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4823, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7168, f_measure: 0.658, kappa: 0.3138, kb_relative_information_score: 25945.8463, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.658, predictive_accuracy: 0.6581, prior_entropy: 0.9976, recall: 0.6581, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6581, f_measure: 0.629, kappa: 0.2563, kb_relative_information_score: 24804.7419, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6295, predictive_accuracy: 0.6288, prior_entropy: 0.9976, recall: 0.6288, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5666, root_relative_squared_error: 1.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.6437, kappa: 0.2851, kb_relative_information_score: 25863.7636, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6437, predictive_accuracy: 0.6436, prior_entropy: 0.9976, recall: 0.6436, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.637, kappa: 0.2727, kb_relative_information_score: 25370.2621, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6377, predictive_accuracy: 0.6367, prior_entropy: 0.9976, recall: 0.6367, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.539, root_relative_squared_error: 1.0798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.6351, kappa: 0.2687, kb_relative_information_score: 25803.93, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6357, predictive_accuracy: 0.6349, prior_entropy: 0.9976, recall: 0.6349, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5515, root_relative_squared_error: 1.1048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6977, f_measure: 0.6461, kappa: 0.2904, kb_relative_information_score: 25708.9802, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6465, predictive_accuracy: 0.6459, prior_entropy: 0.9976, recall: 0.6459, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6884, f_measure: 0.6391, kappa: 0.2765, kb_relative_information_score: 25967.0671, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6395, predictive_accuracy: 0.6389, prior_entropy: 0.9976, recall: 0.6389, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5329, root_relative_squared_error: 1.0675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7061, f_measure: 0.6474, kappa: 0.2926, kb_relative_information_score: 25896.2911, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6475, predictive_accuracy: 0.6474, prior_entropy: 0.9976, recall: 0.6474, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5053, root_relative_squared_error: 1.0123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6876, f_measure: 0.638, kappa: 0.2745, kb_relative_information_score: 25817.4518, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6386, predictive_accuracy: 0.6378, prior_entropy: 0.9976, recall: 0.6378, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5333, root_relative_squared_error: 1.0684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.6472, kappa: 0.2922, kb_relative_information_score: 25916.758, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6473, predictive_accuracy: 0.6472, prior_entropy: 0.9976, recall: 0.6472, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.0121,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.6576, kappa: 0.313, kb_relative_information_score: 25903.8263, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6576, predictive_accuracy: 0.6577, prior_entropy: 0.9976, recall: 0.6577, relative_absolute_error: 0.7443, 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: 0.7178, f_measure: 0.6594, kappa: 0.3167, kb_relative_information_score: 25838.8375, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6595, predictive_accuracy: 0.6593, prior_entropy: 0.9976, recall: 0.6593, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4867, root_relative_squared_error: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.6383, kappa: 0.2746, kb_relative_information_score: 25815.1155, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6385, predictive_accuracy: 0.6381, prior_entropy: 0.9976, recall: 0.6381, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5379, root_relative_squared_error: 1.0776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6809, f_measure: 0.6387, kappa: 0.2755, kb_relative_information_score: 25833.1982, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.639, predictive_accuracy: 0.6386, prior_entropy: 0.9976, recall: 0.6386, relative_absolute_error: 0.7373, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.636, kappa: 0.2702, kb_relative_information_score: 25859.1643, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6364, predictive_accuracy: 0.6358, prior_entropy: 0.9976, recall: 0.6358, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5563, root_relative_squared_error: 1.1144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6602, f_measure: 0.6256, kappa: 0.2495, kb_relative_information_score: 24515.4059, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.626, predictive_accuracy: 0.6254, prior_entropy: 0.9976, recall: 0.6254, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5662, root_relative_squared_error: 1.1342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.645, kappa: 0.2881, kb_relative_information_score: 25766.2629, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6452, predictive_accuracy: 0.6449, prior_entropy: 0.9976, recall: 0.6449, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5101, root_relative_squared_error: 1.0218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.6461, kappa: 0.2904, kb_relative_information_score: 25722.6389, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6465, predictive_accuracy: 0.6459, prior_entropy: 0.9976, recall: 0.6459, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0297,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.653, kappa: 0.304, kb_relative_information_score: 25830.638, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6532, predictive_accuracy: 0.6529, prior_entropy: 0.9976, recall: 0.6529, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4972, root_relative_squared_error: 0.996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6697, f_measure: 0.6342, kappa: 0.2665, kb_relative_information_score: 25204.1973, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6345, predictive_accuracy: 0.6341, prior_entropy: 0.9976, recall: 0.6341, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5513, root_relative_squared_error: 1.1045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6779, f_measure: 0.634, kappa: 0.2666, kb_relative_information_score: 25058.0488, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6347, predictive_accuracy: 0.6337, prior_entropy: 0.9976, recall: 0.6337, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5402, root_relative_squared_error: 1.0821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6825, f_measure: 0.6378, kappa: 0.2735, kb_relative_information_score: 25918.5933, mean_absolute_error: 0.3668, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6379, predictive_accuracy: 0.6376, prior_entropy: 0.9976, recall: 0.6376, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.0847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.6412, kappa: 0.2809, kb_relative_information_score: 25500.0887, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6417, predictive_accuracy: 0.641, prior_entropy: 0.9976, recall: 0.641, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5258, root_relative_squared_error: 1.0533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6649, f_measure: 0.6281, kappa: 0.2553, kb_relative_information_score: 24874.4718, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6292, predictive_accuracy: 0.6278, prior_entropy: 0.9976, recall: 0.6278, relative_absolute_error: 0.7454, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5594, root_relative_squared_error: 1.1206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7092, f_measure: 0.6525, kappa: 0.3031, kb_relative_information_score: 25769.3844, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6527, predictive_accuracy: 0.6524, prior_entropy: 0.9976, recall: 0.6524, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4975, root_relative_squared_error: 0.9967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6793, f_measure: 0.6365, kappa: 0.2715, kb_relative_information_score: 25180.7762, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6371, predictive_accuracy: 0.6362, prior_entropy: 0.9976, recall: 0.6362, relative_absolute_error: 0.7445, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5376, root_relative_squared_error: 1.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6367, kappa: 0.2713, kb_relative_information_score: 25820.6192, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6369, predictive_accuracy: 0.6366, prior_entropy: 0.9976, recall: 0.6366, relative_absolute_error: 0.737, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5419, root_relative_squared_error: 1.0856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6773, f_measure: 0.6361, kappa: 0.271, kb_relative_information_score: 25296.7201, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6369, predictive_accuracy: 0.6358, prior_entropy: 0.9976, recall: 0.6358, relative_absolute_error: 0.743, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.676, f_measure: 0.6382, kappa: 0.2744, kb_relative_information_score: 25885.8957, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6384, predictive_accuracy: 0.638, prior_entropy: 0.9976, recall: 0.638, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.548, root_relative_squared_error: 1.0977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6958, f_measure: 0.6417, kappa: 0.2815, kb_relative_information_score: 25772.485, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.642, predictive_accuracy: 0.6415, prior_entropy: 0.9976, recall: 0.6415, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6341, kappa: 0.2662, kb_relative_information_score: 25229.068, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6343, predictive_accuracy: 0.6339, prior_entropy: 0.9976, recall: 0.6339, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.551, root_relative_squared_error: 1.1038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6507, f_measure: 0.6269, kappa: 0.2531, kb_relative_information_score: 24757.1384, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6282, predictive_accuracy: 0.6266, prior_entropy: 0.9976, recall: 0.6266, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5769, root_relative_squared_error: 1.1556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.6393, kappa: 0.2765, kb_relative_information_score: 25687.3627, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6395, predictive_accuracy: 0.6391, prior_entropy: 0.9976, recall: 0.6391, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.527, root_relative_squared_error: 1.0558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6614, f_measure: 0.6346, kappa: 0.2674, kb_relative_information_score: 25897.9135, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6349, predictive_accuracy: 0.6344, prior_entropy: 0.9976, recall: 0.6344, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5684, root_relative_squared_error: 1.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6476, f_measure: 0.6337, kappa: 0.265, kb_relative_information_score: 25767.7813, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6337, predictive_accuracy: 0.6336, prior_entropy: 0.9976, recall: 0.6336, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5846, root_relative_squared_error: 1.1712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6887, f_measure: 0.6419, kappa: 0.2821, kb_relative_information_score: 25512.4759, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6424, predictive_accuracy: 0.6417, prior_entropy: 0.9976, recall: 0.6417, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5257, root_relative_squared_error: 1.0532,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.6385, kappa: 0.275, kb_relative_information_score: 25763.7415, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6387, predictive_accuracy: 0.6383, prior_entropy: 0.9976, recall: 0.6383, relative_absolute_error: 0.738, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.0849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.642, kappa: 0.282, kb_relative_information_score: 25855.3918, mean_absolute_error: 0.3682, 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: 0.7388, 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: 0.6858, f_measure: 0.6403, kappa: 0.2787, kb_relative_information_score: 25555.7898, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6406, predictive_accuracy: 0.6401, prior_entropy: 0.9976, recall: 0.6401, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5305, root_relative_squared_error: 1.0627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.6456, kappa: 0.2894, kb_relative_information_score: 25662.9629, mean_absolute_error: 0.37, 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: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.6556, kappa: 0.3089, kb_relative_information_score: 25949.9925, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6556, predictive_accuracy: 0.6555, prior_entropy: 0.9976, recall: 0.6555, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6572, f_measure: 0.6274, kappa: 0.254, kb_relative_information_score: 24850.9444, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6286, predictive_accuracy: 0.627, prior_entropy: 0.9976, recall: 0.627, relative_absolute_error: 0.7453, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5694, root_relative_squared_error: 1.1407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.6423, kappa: 0.2831, kb_relative_information_score: 25571.8605, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6428, predictive_accuracy: 0.6421, prior_entropy: 0.9976, recall: 0.6421, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5239, root_relative_squared_error: 1.0494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6432, kappa: 0.2843, kb_relative_information_score: 25837.4607, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6433, predictive_accuracy: 0.6432, prior_entropy: 0.9976, recall: 0.6432, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.0307,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.6479, kappa: 0.2935, kb_relative_information_score: 25956.8302, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6479, predictive_accuracy: 0.6478, prior_entropy: 0.9976, recall: 0.6478, relative_absolute_error: 0.7398, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5051, root_relative_squared_error: 1.0118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6748, f_measure: 0.6342, kappa: 0.2666, kb_relative_information_score: 25248.4508, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6346, predictive_accuracy: 0.634, prior_entropy: 0.9976, recall: 0.634, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5453, root_relative_squared_error: 1.0923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7005, f_measure: 0.6437, kappa: 0.2851, kb_relative_information_score: 25894.93, mean_absolute_error: 0.3684, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6437, predictive_accuracy: 0.6436, prior_entropy: 0.9976, recall: 0.6436, relative_absolute_error: 0.7392, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6765, f_measure: 0.6331, kappa: 0.2649, kb_relative_information_score: 25071.8237, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6339, predictive_accuracy: 0.6328, prior_entropy: 0.9976, recall: 0.6328, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5425, root_relative_squared_error: 1.0868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6643, f_measure: 0.6279, kappa: 0.2551, kb_relative_information_score: 24779.0785, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6291, predictive_accuracy: 0.6276, prior_entropy: 0.9976, recall: 0.6276, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5598, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6877, f_measure: 0.6376, kappa: 0.2736, kb_relative_information_score: 25821.298, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6381, predictive_accuracy: 0.6374, prior_entropy: 0.9976, recall: 0.6374, relative_absolute_error: 0.7377, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5334, root_relative_squared_error: 1.0686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, f_measure: 0.6366, kappa: 0.272, kb_relative_information_score: 25376.3989, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6374, predictive_accuracy: 0.6363, prior_entropy: 0.9976, recall: 0.6363, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5411, root_relative_squared_error: 1.084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.6468, kappa: 0.2914, kb_relative_information_score: 25903.6905, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6468, predictive_accuracy: 0.6468, prior_entropy: 0.9976, recall: 0.6468, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.6445, kappa: 0.2869, kb_relative_information_score: 25657.7744, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6446, predictive_accuracy: 0.6444, prior_entropy: 0.9976, recall: 0.6444, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5191, root_relative_squared_error: 1.0398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.6335, kappa: 0.2655, kb_relative_information_score: 25816.5812, mean_absolute_error: 0.3666, 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: 0.5661, root_relative_squared_error: 1.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7133, f_measure: 0.6512, kappa: 0.3001, kb_relative_information_score: 25947.8058, mean_absolute_error: 0.3696, 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: 0.7417, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.6556, kappa: 0.3091, kb_relative_information_score: 25863.7523, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6557, predictive_accuracy: 0.6555, prior_entropy: 0.9976, recall: 0.6555, relative_absolute_error: 0.7443, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4913, root_relative_squared_error: 0.9842,

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