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: 0.7096, f_measure: 0.6528, kappa: 0.3037, kb_relative_information_score: 25820.3532, mean_absolute_error: 0.3705, 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: 0.7434, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.6512, kappa: 0.3002, kb_relative_information_score: 25716.6063, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6513, predictive_accuracy: 0.6511, prior_entropy: 0.9976, recall: 0.6511, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6398, kappa: 0.2776, kb_relative_information_score: 25779.3984, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.64, predictive_accuracy: 0.6397, prior_entropy: 0.9976, recall: 0.6397, relative_absolute_error: 0.7388, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5265, root_relative_squared_error: 1.0548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6797, f_measure: 0.6364, kappa: 0.2712, kb_relative_information_score: 25823.7938, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6369, predictive_accuracy: 0.6362, prior_entropy: 0.9976, recall: 0.6362, relative_absolute_error: 0.7368, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5444, root_relative_squared_error: 1.0905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6527, f_measure: 0.6252, kappa: 0.2487, kb_relative_information_score: 24515.8997, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6256, predictive_accuracy: 0.625, prior_entropy: 0.9976, recall: 0.625, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5763, root_relative_squared_error: 1.1545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.6477, kappa: 0.2934, kb_relative_information_score: 25768.5826, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6478, predictive_accuracy: 0.6476, prior_entropy: 0.9976, recall: 0.6476, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.6496, kappa: 0.2975, kb_relative_information_score: 25715.9185, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.65, predictive_accuracy: 0.6495, prior_entropy: 0.9976, recall: 0.6495, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0116,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.6471, kappa: 0.292, kb_relative_information_score: 25884.6786, 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: 0.7405, 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: 0.7086, f_measure: 0.6495, kappa: 0.2967, kb_relative_information_score: 25927.1882, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6495, predictive_accuracy: 0.6494, prior_entropy: 0.9976, recall: 0.6494, 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: 0.7082, f_measure: 0.6493, kappa: 0.2964, kb_relative_information_score: 25865.8748, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6494, predictive_accuracy: 0.6492, prior_entropy: 0.9976, recall: 0.6492, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.502, root_relative_squared_error: 1.0057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7, f_measure: 0.6433, kappa: 0.2845, kb_relative_information_score: 25821.7046, mean_absolute_error: 0.3687, 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: 0.7399, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5147, root_relative_squared_error: 1.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6611, f_measure: 0.6252, kappa: 0.2486, kb_relative_information_score: 24365.984, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6256, predictive_accuracy: 0.6249, prior_entropy: 0.9976, recall: 0.6249, relative_absolute_error: 0.7506, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5638, root_relative_squared_error: 1.1294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6976, f_measure: 0.6458, kappa: 0.2898, kb_relative_information_score: 25681.771, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6461, predictive_accuracy: 0.6456, prior_entropy: 0.9976, recall: 0.6456, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5137, root_relative_squared_error: 1.0292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.6447, kappa: 0.2872, kb_relative_information_score: 25636.5513, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6448, predictive_accuracy: 0.6445, prior_entropy: 0.9976, recall: 0.6445, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.0402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7123, f_measure: 0.6551, kappa: 0.3079, kb_relative_information_score: 25897.5517, mean_absolute_error: 0.3705, 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: 0.7434, 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: 0.7179, f_measure: 0.6541, kappa: 0.306, kb_relative_information_score: 26044.9229, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6541, predictive_accuracy: 0.654, prior_entropy: 0.9976, recall: 0.654, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.6564, kappa: 0.3106, kb_relative_information_score: 26058.9542, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6564, predictive_accuracy: 0.6563, prior_entropy: 0.9976, recall: 0.6563, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.9707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.6555, kappa: 0.3088, kb_relative_information_score: 25863.2473, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6555, predictive_accuracy: 0.6554, prior_entropy: 0.9976, recall: 0.6554, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9841,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7216, f_measure: 0.6618, kappa: 0.3215, kb_relative_information_score: 25898.2884, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6618, predictive_accuracy: 0.6617, prior_entropy: 0.9976, recall: 0.6617, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6264, kappa: 0.2521, kb_relative_information_score: 24781.3434, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6277, predictive_accuracy: 0.6261, prior_entropy: 0.9976, recall: 0.6261, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5663, root_relative_squared_error: 1.1345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7002, f_measure: 0.643, kappa: 0.2837, kb_relative_information_score: 25811.7286, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6431, predictive_accuracy: 0.6429, prior_entropy: 0.9976, recall: 0.6429, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.6479, kappa: 0.2935, kb_relative_information_score: 25948.1811, 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: 0.7399, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.6619, kappa: 0.3217, kb_relative_information_score: 25919.2432, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.662, predictive_accuracy: 0.6619, prior_entropy: 0.9976, recall: 0.6619, relative_absolute_error: 0.7456, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4822, root_relative_squared_error: 0.9661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6568, kappa: 0.3114, kb_relative_information_score: 26081.425, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6568, predictive_accuracy: 0.6567, prior_entropy: 0.9976, recall: 0.6567, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.9706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7015, f_measure: 0.6479, kappa: 0.2936, kb_relative_information_score: 25782.781, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.648, predictive_accuracy: 0.6478, prior_entropy: 0.9976, recall: 0.6478, relative_absolute_error: 0.7418, 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: 0.7197, f_measure: 0.6556, kappa: 0.309, kb_relative_information_score: 26060.6743, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6556, predictive_accuracy: 0.6556, prior_entropy: 0.9976, recall: 0.6556, relative_absolute_error: 0.7423, 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: 0.7195, f_measure: 0.6552, kappa: 0.3082, kb_relative_information_score: 26045.0648, mean_absolute_error: 0.37, 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: 0.7424, 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: 0.6566, f_measure: 0.6332, kappa: 0.2649, kb_relative_information_score: 25754.3478, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6338, predictive_accuracy: 0.633, prior_entropy: 0.9976, recall: 0.633, relative_absolute_error: 0.7365, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5733, root_relative_squared_error: 1.1484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.6451, kappa: 0.2883, kb_relative_information_score: 25775.6783, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6453, predictive_accuracy: 0.645, prior_entropy: 0.9976, recall: 0.645, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.65, kappa: 0.2978, kb_relative_information_score: 25985.8561, mean_absolute_error: 0.3689, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6501, predictive_accuracy: 0.6499, prior_entropy: 0.9976, recall: 0.6499, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5014, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.6575, kappa: 0.3127, kb_relative_information_score: 25913.5864, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6575, predictive_accuracy: 0.6575, prior_entropy: 0.9976, recall: 0.6575, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7194, f_measure: 0.66, kappa: 0.3177, kb_relative_information_score: 25828.0704, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.66, predictive_accuracy: 0.66, prior_entropy: 0.9976, recall: 0.66, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6594, f_measure: 0.6254, kappa: 0.249, kb_relative_information_score: 24430.0462, mean_absolute_error: 0.3737, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6258, predictive_accuracy: 0.6252, prior_entropy: 0.9976, recall: 0.6252, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5667, root_relative_squared_error: 1.1353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.6416, kappa: 0.2816, kb_relative_information_score: 25534.8673, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6421, predictive_accuracy: 0.6414, prior_entropy: 0.9976, recall: 0.6414, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5257, root_relative_squared_error: 1.0531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7127, f_measure: 0.6559, kappa: 0.3095, kb_relative_information_score: 25929.3208, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6559, predictive_accuracy: 0.6558, prior_entropy: 0.9976, recall: 0.6558, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4935, root_relative_squared_error: 0.9887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.6509, kappa: 0.2996, kb_relative_information_score: 25731.5378, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6509, predictive_accuracy: 0.6508, prior_entropy: 0.9976, recall: 0.6508, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7014, f_measure: 0.6481, kappa: 0.2942, kb_relative_information_score: 25768.2095, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6483, predictive_accuracy: 0.648, prior_entropy: 0.9976, recall: 0.648, 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: 0.6606, f_measure: 0.6326, kappa: 0.2636, kb_relative_information_score: 25714.9836, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6331, predictive_accuracy: 0.6324, prior_entropy: 0.9976, recall: 0.6324, relative_absolute_error: 0.7366, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5701, root_relative_squared_error: 1.142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.696, f_measure: 0.6422, kappa: 0.2824, kb_relative_information_score: 25798.2089, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6424, predictive_accuracy: 0.642, prior_entropy: 0.9976, recall: 0.642, relative_absolute_error: 0.7395, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6962, f_measure: 0.642, kappa: 0.2821, kb_relative_information_score: 25820.8388, mean_absolute_error: 0.3684, 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: 0.7393, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5201, root_relative_squared_error: 1.0419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7117, f_measure: 0.6504, kappa: 0.2985, kb_relative_information_score: 26028.5391, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6504, predictive_accuracy: 0.6504, prior_entropy: 0.9976, recall: 0.6504, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6902, f_measure: 0.6427, kappa: 0.2838, kb_relative_information_score: 25591.2312, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6432, predictive_accuracy: 0.6425, prior_entropy: 0.9976, recall: 0.6425, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.524, root_relative_squared_error: 1.0497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7025, f_measure: 0.6446, kappa: 0.2871, kb_relative_information_score: 25744.5975, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6448, predictive_accuracy: 0.6444, prior_entropy: 0.9976, recall: 0.6444, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5101, root_relative_squared_error: 1.022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.6473, kappa: 0.2925, kb_relative_information_score: 25722.4347, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6474, predictive_accuracy: 0.6472, prior_entropy: 0.9976, recall: 0.6472, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.6619, kappa: 0.3218, kb_relative_information_score: 25889.2154, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.662, predictive_accuracy: 0.6619, prior_entropy: 0.9976, recall: 0.6619, relative_absolute_error: 0.7459, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4824, root_relative_squared_error: 0.9665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7157, f_measure: 0.6525, kappa: 0.3026, kb_relative_information_score: 25995.7235, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6525, predictive_accuracy: 0.6525, prior_entropy: 0.9976, recall: 0.6525, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9856,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7126, f_measure: 0.6556, kappa: 0.3091, kb_relative_information_score: 25903.7055, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6557, predictive_accuracy: 0.6556, prior_entropy: 0.9976, recall: 0.6556, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4936, root_relative_squared_error: 0.9888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6661, f_measure: 0.6293, kappa: 0.2569, kb_relative_information_score: 24839.2696, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6298, predictive_accuracy: 0.629, prior_entropy: 0.9976, recall: 0.629, relative_absolute_error: 0.7461, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5565, root_relative_squared_error: 1.1149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7166, f_measure: 0.6577, kappa: 0.3132, kb_relative_information_score: 25925.4874, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6577, predictive_accuracy: 0.6578, prior_entropy: 0.9976, recall: 0.6578, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6558, kappa: 0.3095, kb_relative_information_score: 25891.8819, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6559, predictive_accuracy: 0.6557, prior_entropy: 0.9976, recall: 0.6557, relative_absolute_error: 0.744, 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: 0.7166, f_measure: 0.6576, kappa: 0.3129, kb_relative_information_score: 25915.8849, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6576, predictive_accuracy: 0.6576, prior_entropy: 0.9976, recall: 0.6576, relative_absolute_error: 0.7442, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4886, root_relative_squared_error: 0.9787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7181, f_measure: 0.6545, kappa: 0.3069, kb_relative_information_score: 26079.8874, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6546, predictive_accuracy: 0.6545, prior_entropy: 0.9976, recall: 0.6545, 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: 0.7062, f_measure: 0.6472, kappa: 0.2921, kb_relative_information_score: 25881.4556, mean_absolute_error: 0.369, 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: 0.7405, 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: 0.7194, f_measure: 0.6555, kappa: 0.3087, kb_relative_information_score: 26050.1925, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6555, predictive_accuracy: 0.6555, prior_entropy: 0.9976, recall: 0.6555, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.6513, kappa: 0.3004, kb_relative_information_score: 25760.7098, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6514, predictive_accuracy: 0.6512, prior_entropy: 0.9976, recall: 0.6512, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.648, kappa: 0.2937, kb_relative_information_score: 25972.755, mean_absolute_error: 0.3686, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.648, predictive_accuracy: 0.6479, prior_entropy: 0.9976, recall: 0.6479, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5049, root_relative_squared_error: 1.0115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.6353, kappa: 0.269, kb_relative_information_score: 25876.255, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6359, 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: 0.5582, root_relative_squared_error: 1.1182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.639, kappa: 0.2761, kb_relative_information_score: 26014.7615, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6393, predictive_accuracy: 0.6388, prior_entropy: 0.9976, recall: 0.6388, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5475, root_relative_squared_error: 1.0968,

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