OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 13505 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.6374, kappa: 0.2731, kb_relative_information_score: 25738.7891, mean_absolute_error: 0.3679, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6378, predictive_accuracy: 0.6372, prior_entropy: 0.9976, recall: 0.6372, relative_absolute_error: 0.7382, 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: 0.6591, f_measure: 0.6282, kappa: 0.2556, kb_relative_information_score: 24725.9916, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6294, predictive_accuracy: 0.6279, prior_entropy: 0.9976, recall: 0.6279, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5644, root_relative_squared_error: 1.1307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6827, f_measure: 0.6376, kappa: 0.2731, kb_relative_information_score: 25908.7612, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6377, predictive_accuracy: 0.6375, prior_entropy: 0.9976, recall: 0.6375, relative_absolute_error: 0.7361, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.6416, kappa: 0.2816, kb_relative_information_score: 25482.6493, mean_absolute_error: 0.3701, 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: 0.7427, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.0535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7066, f_measure: 0.651, kappa: 0.2998, kb_relative_information_score: 25741.3067, mean_absolute_error: 0.3706, 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: 0.7435, 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: 0.6934, f_measure: 0.6439, kappa: 0.2856, kb_relative_information_score: 25559.8049, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.644, predictive_accuracy: 0.6438, prior_entropy: 0.9976, recall: 0.6438, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5197, root_relative_squared_error: 1.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6796, f_measure: 0.6348, kappa: 0.2681, kb_relative_information_score: 25077.9277, mean_absolute_error: 0.3714, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6354, predictive_accuracy: 0.6345, prior_entropy: 0.9976, recall: 0.6345, relative_absolute_error: 0.7452, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5378, root_relative_squared_error: 1.0775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.6442, kappa: 0.2864, kb_relative_information_score: 25605.4909, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6444, predictive_accuracy: 0.6441, prior_entropy: 0.9976, recall: 0.6441, relative_absolute_error: 0.7422, 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: 0.6967, f_measure: 0.6416, kappa: 0.2812, kb_relative_information_score: 25869.7852, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6418, predictive_accuracy: 0.6414, prior_entropy: 0.9976, recall: 0.6414, relative_absolute_error: 0.7386, 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: 0.6876, f_measure: 0.6385, kappa: 0.2753, kb_relative_information_score: 25856.7503, mean_absolute_error: 0.3675, 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: 0.7375, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.6343, kappa: 0.2663, kb_relative_information_score: 25889.8571, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6343, predictive_accuracy: 0.6342, prior_entropy: 0.9976, recall: 0.6342, relative_absolute_error: 0.735, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.584, root_relative_squared_error: 1.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.6471, kappa: 0.292, kb_relative_information_score: 25914.6198, mean_absolute_error: 0.3689, 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: 0.7401, 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: 0.6874, f_measure: 0.6382, kappa: 0.2746, kb_relative_information_score: 25232.4597, mean_absolute_error: 0.3711, 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: 0.7446, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.0564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.6558, kappa: 0.3095, kb_relative_information_score: 25919.1153, mean_absolute_error: 0.3706, 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: 0.7437, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.6442, kappa: 0.2863, kb_relative_information_score: 25566.6495, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6443, predictive_accuracy: 0.6441, prior_entropy: 0.9976, recall: 0.6441, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5196, root_relative_squared_error: 1.0409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7137, f_measure: 0.6518, kappa: 0.3014, kb_relative_information_score: 26010.0916, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6519, predictive_accuracy: 0.6517, prior_entropy: 0.9976, recall: 0.6517, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7152, f_measure: 0.6523, kappa: 0.3022, kb_relative_information_score: 25935.0909, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6523, predictive_accuracy: 0.6523, prior_entropy: 0.9976, recall: 0.6523, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9859,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7167, f_measure: 0.6579, kappa: 0.3136, kb_relative_information_score: 25938.7667, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6579, predictive_accuracy: 0.658, prior_entropy: 0.9976, recall: 0.658, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4885, root_relative_squared_error: 0.9785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.702, f_measure: 0.6444, kappa: 0.2868, kb_relative_information_score: 25682.1966, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6446, predictive_accuracy: 0.6443, prior_entropy: 0.9976, recall: 0.6443, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5105, root_relative_squared_error: 1.0227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.6336, kappa: 0.2658, kb_relative_information_score: 25787.0534, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6342, predictive_accuracy: 0.6334, prior_entropy: 0.9976, recall: 0.6334, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5709, root_relative_squared_error: 1.1436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.661, f_measure: 0.6335, kappa: 0.2654, kb_relative_information_score: 25801.1276, mean_absolute_error: 0.3667, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.634, predictive_accuracy: 0.6332, prior_entropy: 0.9976, recall: 0.6332, relative_absolute_error: 0.7358, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5697, root_relative_squared_error: 1.1412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6595, f_measure: 0.6288, kappa: 0.2569, kb_relative_information_score: 24812.7957, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.63, predictive_accuracy: 0.6285, prior_entropy: 0.9976, recall: 0.6285, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5643, root_relative_squared_error: 1.1304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6791, f_measure: 0.6398, kappa: 0.2777, kb_relative_information_score: 26117.4532, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6401, predictive_accuracy: 0.6397, prior_entropy: 0.9976, recall: 0.6397, relative_absolute_error: 0.7342, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.6477, kappa: 0.2931, kb_relative_information_score: 25966.551, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6477, predictive_accuracy: 0.6477, prior_entropy: 0.9976, recall: 0.6477, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6838, f_measure: 0.6392, kappa: 0.2764, kb_relative_information_score: 25486.2923, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6394, predictive_accuracy: 0.639, prior_entropy: 0.9976, recall: 0.639, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.0674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7211, f_measure: 0.6565, kappa: 0.3109, kb_relative_information_score: 26050.536, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6566, predictive_accuracy: 0.6565, prior_entropy: 0.9976, recall: 0.6565, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6974, f_measure: 0.6456, kappa: 0.2895, kb_relative_information_score: 25669.5893, 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: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5139, root_relative_squared_error: 1.0296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.6567, kappa: 0.3112, kb_relative_information_score: 26080.0922, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6567, predictive_accuracy: 0.6566, prior_entropy: 0.9976, recall: 0.6566, 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: 0.7193, f_measure: 0.6599, kappa: 0.3177, kb_relative_information_score: 25821.4795, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6599, predictive_accuracy: 0.6599, prior_entropy: 0.9976, recall: 0.6599, relative_absolute_error: 0.7461, 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: 0.7084, f_measure: 0.6496, kappa: 0.2971, kb_relative_information_score: 25886.2295, mean_absolute_error: 0.3694, 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: 0.7413, 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: 0.7145, f_measure: 0.6558, kappa: 0.3094, kb_relative_information_score: 25890.5413, mean_absolute_error: 0.3708, 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: 0.744, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7115, f_measure: 0.6506, kappa: 0.2988, kb_relative_information_score: 26011.6592, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6506, predictive_accuracy: 0.6506, prior_entropy: 0.9976, recall: 0.6506, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4979, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6684, f_measure: 0.6268, kappa: 0.2519, kb_relative_information_score: 24583.2097, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6272, predictive_accuracy: 0.6266, prior_entropy: 0.9976, recall: 0.6266, relative_absolute_error: 0.7488, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5545, root_relative_squared_error: 1.1108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.6448, kappa: 0.2876, kb_relative_information_score: 25735.5721, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.645, predictive_accuracy: 0.6447, prior_entropy: 0.9976, recall: 0.6447, relative_absolute_error: 0.7414, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, f_measure: 0.6557, kappa: 0.3093, kb_relative_information_score: 25905.1788, mean_absolute_error: 0.3707, 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: 0.7438, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6741, f_measure: 0.6343, kappa: 0.2671, kb_relative_information_score: 25693.2029, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6349, predictive_accuracy: 0.6341, prior_entropy: 0.9976, recall: 0.6341, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5519, root_relative_squared_error: 1.1055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.6556, kappa: 0.309, kb_relative_information_score: 25910.0663, mean_absolute_error: 0.3704, 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: 0.7433, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4938, root_relative_squared_error: 0.9892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.688, f_measure: 0.6383, kappa: 0.2749, kb_relative_information_score: 25874.018, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6387, predictive_accuracy: 0.638, prior_entropy: 0.9976, recall: 0.638, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5331, root_relative_squared_error: 1.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7136, f_measure: 0.6514, kappa: 0.3006, kb_relative_information_score: 25986.1686, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6514, predictive_accuracy: 0.6513, prior_entropy: 0.9976, recall: 0.6513, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.6483, kappa: 0.2946, kb_relative_information_score: 25741.5814, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6485, predictive_accuracy: 0.6482, prior_entropy: 0.9976, recall: 0.6482, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5091, root_relative_squared_error: 1.0199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7196, f_measure: 0.6559, kappa: 0.3095, kb_relative_information_score: 26079.5968, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6559, predictive_accuracy: 0.6559, prior_entropy: 0.9976, recall: 0.6559, relative_absolute_error: 0.7421, 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: 0.6957, f_measure: 0.6411, kappa: 0.2803, kb_relative_information_score: 25750.1746, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6414, predictive_accuracy: 0.641, prior_entropy: 0.9976, recall: 0.641, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5205, root_relative_squared_error: 1.0427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.6521, kappa: 0.3019, kb_relative_information_score: 25965.2389, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6521, predictive_accuracy: 0.6521, prior_entropy: 0.9976, recall: 0.6521, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4919, root_relative_squared_error: 0.9854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6886, f_measure: 0.6416, kappa: 0.2817, kb_relative_information_score: 25495.3929, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6422, predictive_accuracy: 0.6414, prior_entropy: 0.9976, recall: 0.6414, relative_absolute_error: 0.7426, 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: 0.6543, f_measure: 0.6244, kappa: 0.2469, kb_relative_information_score: 24343.9289, mean_absolute_error: 0.374, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6248, predictive_accuracy: 0.6242, prior_entropy: 0.9976, recall: 0.6242, relative_absolute_error: 0.7504, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5736, root_relative_squared_error: 1.1491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6818, f_measure: 0.6347, kappa: 0.2681, kb_relative_information_score: 25118.1079, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6354, predictive_accuracy: 0.6345, prior_entropy: 0.9976, recall: 0.6345, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5356, root_relative_squared_error: 1.073,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.625, kappa: 0.2479, kb_relative_information_score: 24366.0136, mean_absolute_error: 0.3739, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6252, predictive_accuracy: 0.6248, prior_entropy: 0.9976, recall: 0.6248, relative_absolute_error: 0.7503, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5884, root_relative_squared_error: 1.1787,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.6259, kappa: 0.2501, kb_relative_information_score: 24535.949, mean_absolute_error: 0.3732, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6264, predictive_accuracy: 0.6257, prior_entropy: 0.9976, recall: 0.6257, relative_absolute_error: 0.7489, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5631, root_relative_squared_error: 1.128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7026, f_measure: 0.6451, kappa: 0.2882, kb_relative_information_score: 25750.927, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6453, predictive_accuracy: 0.6449, prior_entropy: 0.9976, recall: 0.6449, relative_absolute_error: 0.7412, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.51, root_relative_squared_error: 1.0217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.6558, kappa: 0.3095, kb_relative_information_score: 25867.3317, mean_absolute_error: 0.3709, 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: 0.7442, 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: 0.676, f_measure: 0.6363, kappa: 0.2708, kb_relative_information_score: 25782.108, mean_absolute_error: 0.3673, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6367, predictive_accuracy: 0.6361, prior_entropy: 0.9976, recall: 0.6361, relative_absolute_error: 0.737, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5486, root_relative_squared_error: 1.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.6557, kappa: 0.3093, kb_relative_information_score: 25836.9031, mean_absolute_error: 0.3711, 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: 0.7446, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4914, root_relative_squared_error: 0.9844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6587, f_measure: 0.6337, kappa: 0.266, kb_relative_information_score: 25900.7924, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6344, predictive_accuracy: 0.6335, prior_entropy: 0.9976, recall: 0.6335, relative_absolute_error: 0.7347, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5729, root_relative_squared_error: 1.1476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, f_measure: 0.6517, kappa: 0.3013, kb_relative_information_score: 25996.105, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6518, predictive_accuracy: 0.6517, prior_entropy: 0.9976, recall: 0.6517, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4947, root_relative_squared_error: 0.9911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.6468, kappa: 0.2914, kb_relative_information_score: 25871.6649, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6469, predictive_accuracy: 0.6468, prior_entropy: 0.9976, recall: 0.6468, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6916, f_measure: 0.639, kappa: 0.2759, kb_relative_information_score: 25681.5011, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6392, predictive_accuracy: 0.6388, prior_entropy: 0.9976, recall: 0.6388, relative_absolute_error: 0.7397, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5272, root_relative_squared_error: 1.0561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.6364, kappa: 0.271, kb_relative_information_score: 25746.051, mean_absolute_error: 0.3677, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6368, predictive_accuracy: 0.6362, prior_entropy: 0.9976, recall: 0.6362, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5422, root_relative_squared_error: 1.0863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.6377, kappa: 0.2734, kb_relative_information_score: 25954.4919, mean_absolute_error: 0.3666, 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: 0.7356, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0844,

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