OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14279 runs submitted
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14279 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.625, kappa: 0.2482, kb_relative_information_score: 24318.8032, mean_absolute_error: 0.3744, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6254, predictive_accuracy: 0.6247, prior_entropy: 0.9976, recall: 0.6247, relative_absolute_error: 0.7512, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5611, root_relative_squared_error: 1.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7069, f_measure: 0.6511, kappa: 0.3001, kb_relative_information_score: 25760.6739, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6512, predictive_accuracy: 0.651, prior_entropy: 0.9976, recall: 0.651, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5007, root_relative_squared_error: 1.0031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6681, f_measure: 0.6267, kappa: 0.2517, kb_relative_information_score: 24527.0084, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6272, predictive_accuracy: 0.6265, prior_entropy: 0.9976, recall: 0.6265, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5547, root_relative_squared_error: 1.1112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.6528, kappa: 0.3035, kb_relative_information_score: 25953.6463, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6529, predictive_accuracy: 0.6528, prior_entropy: 0.9976, recall: 0.6528, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4894, root_relative_squared_error: 0.9805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.716, f_measure: 0.653, kappa: 0.3038, kb_relative_information_score: 26040.179, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.653, predictive_accuracy: 0.6531, prior_entropy: 0.9976, recall: 0.6531, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4916, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.6477, kappa: 0.2934, kb_relative_information_score: 25754.2727, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6479, predictive_accuracy: 0.6476, prior_entropy: 0.9976, recall: 0.6476, relative_absolute_error: 0.7421, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.509, root_relative_squared_error: 1.0197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6568, kappa: 0.3114, kb_relative_information_score: 26094.237, 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: 0.7424, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4845, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7197, f_measure: 0.6555, kappa: 0.3086, kb_relative_information_score: 26069.639, mean_absolute_error: 0.3699, 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: 0.7421, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7028, f_measure: 0.6452, kappa: 0.2884, kb_relative_information_score: 25783.2579, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6454, predictive_accuracy: 0.6451, prior_entropy: 0.9976, recall: 0.6451, relative_absolute_error: 0.7409, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5099, root_relative_squared_error: 1.0214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.714, f_measure: 0.6555, kappa: 0.309, kb_relative_information_score: 25845.7704, mean_absolute_error: 0.371, 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: 0.7444, 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: 0.6885, f_measure: 0.6392, kappa: 0.2767, kb_relative_information_score: 25966.7848, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6396, 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: 0.6972, f_measure: 0.6457, kappa: 0.2897, kb_relative_information_score: 25658.986, mean_absolute_error: 0.37, 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: 0.7425, 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: 0.7066, f_measure: 0.6513, kappa: 0.3004, kb_relative_information_score: 25744.1568, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6513, predictive_accuracy: 0.6512, prior_entropy: 0.9976, recall: 0.6512, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.501, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7146, f_measure: 0.6559, kappa: 0.3097, kb_relative_information_score: 25907.9552, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.656, predictive_accuracy: 0.6558, prior_entropy: 0.9976, recall: 0.6558, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6435, f_measure: 0.6318, kappa: 0.2622, kb_relative_information_score: 25734.3725, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6324, predictive_accuracy: 0.6316, prior_entropy: 0.9976, recall: 0.6316, relative_absolute_error: 0.7362, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5905, root_relative_squared_error: 1.1829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7043, f_measure: 0.6498, kappa: 0.2978, kb_relative_information_score: 25783.8856, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6501, predictive_accuracy: 0.6496, prior_entropy: 0.9976, recall: 0.6496, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5046, root_relative_squared_error: 1.0109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6568, kappa: 0.3115, kb_relative_information_score: 26088.9854, mean_absolute_error: 0.37, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6569, predictive_accuracy: 0.6568, prior_entropy: 0.9976, recall: 0.6568, relative_absolute_error: 0.7425, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4844, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.6269, kappa: 0.2529, kb_relative_information_score: 24701.3603, mean_absolute_error: 0.3724, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.628, predictive_accuracy: 0.6265, prior_entropy: 0.9976, recall: 0.6265, relative_absolute_error: 0.7472, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.56, root_relative_squared_error: 1.1219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6975, f_measure: 0.6458, kappa: 0.2899, kb_relative_information_score: 25681.4637, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6462, 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: 0.6295, f_measure: 0.6256, kappa: 0.249, kb_relative_information_score: 24389.9635, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6257, predictive_accuracy: 0.6255, prior_entropy: 0.9976, recall: 0.6255, relative_absolute_error: 0.75, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6049, root_relative_squared_error: 1.2118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6524, f_measure: 0.6321, kappa: 0.2629, kb_relative_information_score: 25682.5872, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6328, predictive_accuracy: 0.6319, prior_entropy: 0.9976, recall: 0.6319, relative_absolute_error: 0.7367, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5803, root_relative_squared_error: 1.1625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7027, f_measure: 0.6449, kappa: 0.2878, kb_relative_information_score: 25750.4476, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6451, predictive_accuracy: 0.6448, prior_entropy: 0.9976, recall: 0.6448, relative_absolute_error: 0.7411, 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: 0.7216, f_measure: 0.6618, kappa: 0.3214, kb_relative_information_score: 25899.7814, 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: 0.9664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.709, f_measure: 0.6527, kappa: 0.3033, kb_relative_information_score: 25739.3191, mean_absolute_error: 0.3709, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6528, predictive_accuracy: 0.6526, prior_entropy: 0.9976, recall: 0.6526, relative_absolute_error: 0.7443, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4977, root_relative_squared_error: 0.9971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7134, f_measure: 0.6513, kappa: 0.3004, kb_relative_information_score: 25981.6523, 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: 0.7414, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9918,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6938, f_measure: 0.6444, kappa: 0.2867, kb_relative_information_score: 25602.7435, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6445, predictive_accuracy: 0.6443, prior_entropy: 0.9976, recall: 0.6443, relative_absolute_error: 0.7422, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5193, root_relative_squared_error: 1.0403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.6384, kappa: 0.275, kb_relative_information_score: 25805.425, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6388, predictive_accuracy: 0.6383, prior_entropy: 0.9976, recall: 0.6383, relative_absolute_error: 0.7374, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5438, root_relative_squared_error: 1.0893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6759, f_measure: 0.6384, kappa: 0.2748, kb_relative_information_score: 25884.9397, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6386, predictive_accuracy: 0.6382, prior_entropy: 0.9976, recall: 0.6382, relative_absolute_error: 0.7364, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.548, root_relative_squared_error: 1.0979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6935, f_measure: 0.6442, kappa: 0.2863, kb_relative_information_score: 25580.2555, mean_absolute_error: 0.37, 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: 0.7425, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5194, root_relative_squared_error: 1.0406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.6478, kappa: 0.2934, kb_relative_information_score: 25965.2121, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6478, predictive_accuracy: 0.6478, prior_entropy: 0.9976, recall: 0.6478, 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: 0.7095, f_measure: 0.6531, kappa: 0.3041, kb_relative_information_score: 25814.936, 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: 0.7435, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, f_measure: 0.651, kappa: 0.2998, kb_relative_information_score: 25711.9708, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6511, predictive_accuracy: 0.6509, prior_entropy: 0.9976, recall: 0.6509, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6965, f_measure: 0.6417, kappa: 0.2816, kb_relative_information_score: 25835.5461, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.642, predictive_accuracy: 0.6416, prior_entropy: 0.9976, recall: 0.6416, relative_absolute_error: 0.739, 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: 0.6897, f_measure: 0.6422, kappa: 0.2828, kb_relative_information_score: 25616.6828, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6427, predictive_accuracy: 0.642, prior_entropy: 0.9976, recall: 0.642, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5251, root_relative_squared_error: 1.0519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7068, f_measure: 0.6509, kappa: 0.2997, kb_relative_information_score: 25760.3971, mean_absolute_error: 0.3705, 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: 0.7434, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5008, root_relative_squared_error: 1.0033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.645, kappa: 0.2879, kb_relative_information_score: 25744.5556, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6452, predictive_accuracy: 0.6448, prior_entropy: 0.9976, recall: 0.6448, relative_absolute_error: 0.7413, 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: 0.7063, f_measure: 0.6512, kappa: 0.3001, kb_relative_information_score: 25716.8677, mean_absolute_error: 0.3707, 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: 0.7439, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5012, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7198, f_measure: 0.6557, kappa: 0.3091, kb_relative_information_score: 26090.6328, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6557, predictive_accuracy: 0.6557, prior_entropy: 0.9976, recall: 0.6557, relative_absolute_error: 0.742, 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: 0.7177, f_measure: 0.6591, kappa: 0.3162, kb_relative_information_score: 25827.3984, 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: 0.7456, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4866, root_relative_squared_error: 0.9749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6743, f_measure: 0.6354, kappa: 0.2691, kb_relative_information_score: 25786.3647, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6359, predictive_accuracy: 0.6351, prior_entropy: 0.9976, recall: 0.6351, relative_absolute_error: 0.7369, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5517, root_relative_squared_error: 1.1052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.6531, kappa: 0.3043, kb_relative_information_score: 25828.8469, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6533, predictive_accuracy: 0.653, prior_entropy: 0.9976, recall: 0.653, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6736, f_measure: 0.6372, kappa: 0.2728, kb_relative_information_score: 25969.3718, mean_absolute_error: 0.3664, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6377, predictive_accuracy: 0.637, prior_entropy: 0.9976, recall: 0.637, relative_absolute_error: 0.7351, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5517, root_relative_squared_error: 1.1052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7019, f_measure: 0.6444, kappa: 0.2868, kb_relative_information_score: 25664.7299, mean_absolute_error: 0.3698, 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: 0.742, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5104, root_relative_squared_error: 1.0225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6934, f_measure: 0.6446, kappa: 0.287, kb_relative_information_score: 25604.127, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6447, predictive_accuracy: 0.6445, prior_entropy: 0.9976, recall: 0.6445, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5195, root_relative_squared_error: 1.0406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6301, f_measure: 0.6261, kappa: 0.2501, kb_relative_information_score: 24491.091, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6263, predictive_accuracy: 0.626, prior_entropy: 0.9976, recall: 0.626, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.6045, root_relative_squared_error: 1.211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6781, f_measure: 0.6368, kappa: 0.2723, kb_relative_information_score: 25442.4353, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6376, predictive_accuracy: 0.6366, prior_entropy: 0.9976, recall: 0.6366, relative_absolute_error: 0.7416, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5407, root_relative_squared_error: 1.0831,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6704, f_measure: 0.6348, kappa: 0.2677, kb_relative_information_score: 25260.2718, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6351, predictive_accuracy: 0.6346, prior_entropy: 0.9976, recall: 0.6346, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5505, root_relative_squared_error: 1.1029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6918, f_measure: 0.6398, kappa: 0.2776, kb_relative_information_score: 25765.5697, mean_absolute_error: 0.3683, 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: 0.7391, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5268, root_relative_squared_error: 1.0553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7142, f_measure: 0.6557, kappa: 0.3093, kb_relative_information_score: 25843.1841, mean_absolute_error: 0.371, 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: 0.7445, 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: 0.6839, f_measure: 0.6388, kappa: 0.2756, kb_relative_information_score: 25467.7915, mean_absolute_error: 0.3698, 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: 0.7419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5328, root_relative_squared_error: 1.0673,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.6507, kappa: 0.2992, kb_relative_information_score: 25714.3743, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6508, predictive_accuracy: 0.6506, prior_entropy: 0.9976, recall: 0.6506, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7215, f_measure: 0.6566, kappa: 0.3111, kb_relative_information_score: 26090.1677, 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: 0.7424, 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: 0.6971, f_measure: 0.6456, kappa: 0.2894, kb_relative_information_score: 25636.6576, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6459, predictive_accuracy: 0.6454, prior_entropy: 0.9976, recall: 0.6454, relative_absolute_error: 0.7427, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5141, root_relative_squared_error: 1.0299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6932, f_measure: 0.6399, kappa: 0.2778, kb_relative_information_score: 25804.9637, mean_absolute_error: 0.3681, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6401, predictive_accuracy: 0.6398, prior_entropy: 0.9976, recall: 0.6398, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5252, root_relative_squared_error: 1.0522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6493, kappa: 0.2965, kb_relative_information_score: 25883.8708, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6494, predictive_accuracy: 0.6493, prior_entropy: 0.9976, recall: 0.6493, relative_absolute_error: 0.7412, 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: 0.7062, f_measure: 0.6508, kappa: 0.2994, kb_relative_information_score: 25697.0473, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6508, predictive_accuracy: 0.6507, prior_entropy: 0.9976, recall: 0.6507, relative_absolute_error: 0.744, 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: 0.7195, f_measure: 0.6598, kappa: 0.3173, kb_relative_information_score: 25819.3471, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6598, predictive_accuracy: 0.6598, prior_entropy: 0.9976, recall: 0.6598, relative_absolute_error: 0.7461, 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: 0.6709, f_measure: 0.6284, kappa: 0.2558, kb_relative_information_score: 24862.6562, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6294, predictive_accuracy: 0.6281, prior_entropy: 0.9976, recall: 0.6281, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5507, root_relative_squared_error: 1.1033,

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