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: 0.7063, f_measure: 0.6509, kappa: 0.2997, kb_relative_information_score: 25723.3694, 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: 0.7438, 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: 0.6522, f_measure: 0.627, kappa: 0.252, kb_relative_information_score: 24646.4989, mean_absolute_error: 0.3725, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6273, predictive_accuracy: 0.6268, prior_entropy: 0.9976, recall: 0.6268, relative_absolute_error: 0.7474, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5741, root_relative_squared_error: 1.1501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.6594, kappa: 0.3166, kb_relative_information_score: 25834.5495, mean_absolute_error: 0.3716, 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: 0.7456, 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: 0.6886, f_measure: 0.638, kappa: 0.2744, kb_relative_information_score: 25909.7385, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6385, predictive_accuracy: 0.6378, prior_entropy: 0.9976, recall: 0.6378, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.533, root_relative_squared_error: 1.0677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.694, f_measure: 0.6443, kappa: 0.2865, kb_relative_information_score: 25648.2646, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6444, predictive_accuracy: 0.6442, prior_entropy: 0.9976, recall: 0.6442, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.647, kappa: 0.2917, kb_relative_information_score: 25882.9292, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.647, predictive_accuracy: 0.6469, prior_entropy: 0.9976, recall: 0.6469, 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: 0.7021, f_measure: 0.6444, kappa: 0.2868, kb_relative_information_score: 25687.3419, 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: 0.5103, root_relative_squared_error: 1.0224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.657, kappa: 0.3118, kb_relative_information_score: 26104.9598, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.657, predictive_accuracy: 0.6569, prior_entropy: 0.9976, recall: 0.6569, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.6593, kappa: 0.3165, kb_relative_information_score: 25845.9091, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6594, predictive_accuracy: 0.6592, prior_entropy: 0.9976, recall: 0.6592, relative_absolute_error: 0.7454, 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: 0.682, f_measure: 0.6372, kappa: 0.2723, kb_relative_information_score: 25860.5235, mean_absolute_error: 0.3671, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6374, predictive_accuracy: 0.637, prior_entropy: 0.9976, recall: 0.637, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5417, root_relative_squared_error: 1.0852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6788, f_measure: 0.6318, kappa: 0.2623, kb_relative_information_score: 25064.9159, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6325, predictive_accuracy: 0.6315, prior_entropy: 0.9976, recall: 0.6315, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5404, root_relative_squared_error: 1.0826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6588, f_measure: 0.6265, kappa: 0.2523, kb_relative_information_score: 24678.8078, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6277, predictive_accuracy: 0.6262, prior_entropy: 0.9976, recall: 0.6262, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5667, root_relative_squared_error: 1.1352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6883, f_measure: 0.6419, kappa: 0.2822, kb_relative_information_score: 25496.4302, mean_absolute_error: 0.3701, 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: 0.7426, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.0539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7144, f_measure: 0.6557, kappa: 0.3093, kb_relative_information_score: 25864.287, 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: 0.7442, 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: 0.6488, f_measure: 0.6271, kappa: 0.252, kb_relative_information_score: 24657.7269, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6272, predictive_accuracy: 0.627, prior_entropy: 0.9976, recall: 0.627, relative_absolute_error: 0.7473, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5786, root_relative_squared_error: 1.1592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.626, kappa: 0.2517, kb_relative_information_score: 24663.2927, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6275, predictive_accuracy: 0.6257, prior_entropy: 0.9976, recall: 0.6257, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.594, root_relative_squared_error: 1.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.6501, kappa: 0.2979, kb_relative_information_score: 25991.8255, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6501, predictive_accuracy: 0.6501, prior_entropy: 0.9976, recall: 0.6501, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4982, root_relative_squared_error: 0.9979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7039, f_measure: 0.6492, kappa: 0.2967, kb_relative_information_score: 25707.5806, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6495, predictive_accuracy: 0.6491, prior_entropy: 0.9976, recall: 0.6491, 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: 0.7178, f_measure: 0.6594, kappa: 0.3167, kb_relative_information_score: 25855.3656, mean_absolute_error: 0.3715, 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: 0.7453, 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: 0.6596, f_measure: 0.6299, kappa: 0.2589, kb_relative_information_score: 24906.8094, mean_absolute_error: 0.3715, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.631, predictive_accuracy: 0.6296, prior_entropy: 0.9976, recall: 0.6296, relative_absolute_error: 0.7455, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.564, root_relative_squared_error: 1.1299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.6592, kappa: 0.3162, kb_relative_information_score: 25819.7199, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6592, predictive_accuracy: 0.6591, prior_entropy: 0.9976, recall: 0.6591, relative_absolute_error: 0.7457, 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: 0.6972, f_measure: 0.6459, kappa: 0.29, kb_relative_information_score: 25655.4994, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6462, predictive_accuracy: 0.6457, prior_entropy: 0.9976, recall: 0.6457, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.514, root_relative_squared_error: 1.0298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7175, f_measure: 0.6539, kappa: 0.3056, kb_relative_information_score: 25983.7325, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6539, predictive_accuracy: 0.6538, prior_entropy: 0.9976, recall: 0.6538, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.6522, kappa: 0.3021, kb_relative_information_score: 25973.3231, mean_absolute_error: 0.3698, 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: 0.742, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.492, root_relative_squared_error: 0.9856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7158, f_measure: 0.6528, kappa: 0.3034, kb_relative_information_score: 26001.6915, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6528, predictive_accuracy: 0.6529, prior_entropy: 0.9976, recall: 0.6529, relative_absolute_error: 0.7417, 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: 0.7168, f_measure: 0.6583, kappa: 0.3144, kb_relative_information_score: 25953.4065, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6583, predictive_accuracy: 0.6584, prior_entropy: 0.9976, recall: 0.6584, relative_absolute_error: 0.744, 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: 0.6939, f_measure: 0.6442, kappa: 0.2864, kb_relative_information_score: 25615.0253, mean_absolute_error: 0.3698, 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: 0.7421, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7174, f_measure: 0.659, kappa: 0.3158, kb_relative_information_score: 25800.0802, 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: 0.7459, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6885, f_measure: 0.6409, kappa: 0.2802, kb_relative_information_score: 25456.2173, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6414, predictive_accuracy: 0.6407, prior_entropy: 0.9976, recall: 0.6407, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.526, root_relative_squared_error: 1.0536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.6373, kappa: 0.2726, kb_relative_information_score: 25888.8056, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6375, predictive_accuracy: 0.6372, prior_entropy: 0.9976, recall: 0.6372, relative_absolute_error: 0.7363, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5415, root_relative_squared_error: 1.0848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.6375, kappa: 0.2735, kb_relative_information_score: 26052.3451, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6381, predictive_accuracy: 0.6373, prior_entropy: 0.9976, recall: 0.6373, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5513, root_relative_squared_error: 1.1044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.6453, kappa: 0.289, kb_relative_information_score: 25630.2603, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6457, predictive_accuracy: 0.6452, prior_entropy: 0.9976, recall: 0.6452, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7084, f_measure: 0.6492, kappa: 0.2963, kb_relative_information_score: 25893.657, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6493, predictive_accuracy: 0.6492, prior_entropy: 0.9976, recall: 0.6492, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.6441, kappa: 0.286, kb_relative_information_score: 25571.133, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6442, predictive_accuracy: 0.644, prior_entropy: 0.9976, recall: 0.644, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5195, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6889, f_measure: 0.6415, kappa: 0.2815, kb_relative_information_score: 25523.5431, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6421, predictive_accuracy: 0.6413, prior_entropy: 0.9976, recall: 0.6413, relative_absolute_error: 0.7422, 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: 0.7143, f_measure: 0.6552, kappa: 0.3083, kb_relative_information_score: 25848.9755, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6553, predictive_accuracy: 0.6552, prior_entropy: 0.9976, recall: 0.6552, 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: 0.694, f_measure: 0.6439, kappa: 0.2856, kb_relative_information_score: 25613.1319, mean_absolute_error: 0.3698, 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: 0.742, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5192, root_relative_squared_error: 1.0402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.706, f_measure: 0.6504, kappa: 0.2986, kb_relative_information_score: 25663.1644, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6504, predictive_accuracy: 0.6503, prior_entropy: 0.9976, recall: 0.6503, relative_absolute_error: 0.7443, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6804, f_measure: 0.6366, kappa: 0.2715, kb_relative_information_score: 25725.3824, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.637, predictive_accuracy: 0.6364, prior_entropy: 0.9976, recall: 0.6364, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5425, root_relative_squared_error: 1.0867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6829, f_measure: 0.6374, kappa: 0.2728, kb_relative_information_score: 25781.5143, mean_absolute_error: 0.3676, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6376, predictive_accuracy: 0.6372, prior_entropy: 0.9976, recall: 0.6372, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5399, root_relative_squared_error: 1.0816,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7047, f_measure: 0.65, kappa: 0.2982, kb_relative_information_score: 25830.872, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6503, predictive_accuracy: 0.6498, prior_entropy: 0.9976, recall: 0.6498, relative_absolute_error: 0.742, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5044, root_relative_squared_error: 1.0104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.669, f_measure: 0.6265, kappa: 0.2512, kb_relative_information_score: 24407.6206, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6269, predictive_accuracy: 0.6263, prior_entropy: 0.9976, recall: 0.6263, relative_absolute_error: 0.7507, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5527, root_relative_squared_error: 1.1072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.6501, kappa: 0.2985, kb_relative_information_score: 25772.7999, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6504, predictive_accuracy: 0.6499, prior_entropy: 0.9976, recall: 0.6499, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6554, kappa: 0.3087, kb_relative_information_score: 25843.4083, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6555, predictive_accuracy: 0.6553, prior_entropy: 0.9976, recall: 0.6553, relative_absolute_error: 0.7444, 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: 0.7134, f_measure: 0.6513, kappa: 0.3005, kb_relative_information_score: 25973.377, mean_absolute_error: 0.3695, 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: 0.7415, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4949, root_relative_squared_error: 0.9914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.6457, kappa: 0.2897, kb_relative_information_score: 25705.1088, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6461, predictive_accuracy: 0.6455, prior_entropy: 0.9976, recall: 0.6455, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5136, root_relative_squared_error: 1.029,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.6398, kappa: 0.2776, kb_relative_information_score: 25572.1424, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.64, predictive_accuracy: 0.6396, prior_entropy: 0.9976, recall: 0.6396, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5327, root_relative_squared_error: 1.0671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6631, f_measure: 0.625, kappa: 0.2482, kb_relative_information_score: 24329.9454, mean_absolute_error: 0.3743, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6254, predictive_accuracy: 0.6248, prior_entropy: 0.9976, recall: 0.6248, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.561, root_relative_squared_error: 1.1239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.6247, kappa: 0.2471, kb_relative_information_score: 24210.745, mean_absolute_error: 0.3747, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6248, predictive_accuracy: 0.6246, prior_entropy: 0.9976, recall: 0.6246, relative_absolute_error: 0.7519, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.602, root_relative_squared_error: 1.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.6594, kappa: 0.3167, kb_relative_information_score: 25859.2282, mean_absolute_error: 0.3714, 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: 0.7453, 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: 0.7046, f_measure: 0.6499, kappa: 0.2979, kb_relative_information_score: 25827.0026, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6502, predictive_accuracy: 0.6497, prior_entropy: 0.9976, recall: 0.6497, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5045, root_relative_squared_error: 1.0106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6554, kappa: 0.3086, kb_relative_information_score: 26040.2237, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6554, predictive_accuracy: 0.6554, prior_entropy: 0.9976, recall: 0.6554, relative_absolute_error: 0.7424, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4868, root_relative_squared_error: 0.9752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6966, f_measure: 0.6424, kappa: 0.2829, kb_relative_information_score: 25874.5961, mean_absolute_error: 0.3682, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6427, predictive_accuracy: 0.6423, prior_entropy: 0.9976, recall: 0.6423, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.52, root_relative_squared_error: 1.0417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.666, f_measure: 0.6298, kappa: 0.2579, kb_relative_information_score: 24870.9071, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6303, predictive_accuracy: 0.6295, prior_entropy: 0.9976, recall: 0.6295, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5568, root_relative_squared_error: 1.1153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.6367, kappa: 0.2716, kb_relative_information_score: 25856.6328, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6371, predictive_accuracy: 0.6365, prior_entropy: 0.9976, recall: 0.6365, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5511, root_relative_squared_error: 1.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6658, f_measure: 0.6312, kappa: 0.2615, kb_relative_information_score: 25067.2031, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6322, predictive_accuracy: 0.6309, prior_entropy: 0.9976, recall: 0.6309, relative_absolute_error: 0.744, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5569, root_relative_squared_error: 1.1156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7113, f_measure: 0.6504, kappa: 0.2985, kb_relative_information_score: 25995.0015, mean_absolute_error: 0.3692, 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: 0.7408, 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: 0.6901, f_measure: 0.6418, kappa: 0.2816, kb_relative_information_score: 25548.98, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.642, predictive_accuracy: 0.6417, prior_entropy: 0.9976, recall: 0.6417, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5246, root_relative_squared_error: 1.0509,

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