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: 0.7215, 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,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7093, f_measure: 0.6526, kappa: 0.3033, kb_relative_information_score: 25774.3225, mean_absolute_error: 0.3708, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6528, predictive_accuracy: 0.6525, prior_entropy: 0.9976, recall: 0.6525, relative_absolute_error: 0.7439, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7078, f_measure: 0.6491, kappa: 0.296, kb_relative_information_score: 25825.8768, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6492, predictive_accuracy: 0.649, prior_entropy: 0.9976, recall: 0.649, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5022, root_relative_squared_error: 1.0061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7082, f_measure: 0.6496, kappa: 0.2972, kb_relative_information_score: 25873.0379, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6497, predictive_accuracy: 0.6496, prior_entropy: 0.9976, recall: 0.6496, 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: 0.7193, f_measure: 0.6598, kappa: 0.3175, kb_relative_information_score: 25831.9776, mean_absolute_error: 0.3718, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6599, predictive_accuracy: 0.6598, prior_entropy: 0.9976, recall: 0.6598, 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: 0.6837, f_measure: 0.6394, kappa: 0.2769, kb_relative_information_score: 25464.7629, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6397, predictive_accuracy: 0.6393, prior_entropy: 0.9976, recall: 0.6393, relative_absolute_error: 0.7421, 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: 0.7064, f_measure: 0.647, kappa: 0.2917, kb_relative_information_score: 25896.7706, 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: 0.7403, 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: 0.6879, f_measure: 0.6417, kappa: 0.2818, kb_relative_information_score: 25429.1361, mean_absolute_error: 0.3704, 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: 0.7433, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5261, root_relative_squared_error: 1.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6604, f_measure: 0.6325, kappa: 0.2635, kb_relative_information_score: 25661.7348, mean_absolute_error: 0.3674, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6331, predictive_accuracy: 0.6323, prior_entropy: 0.9976, recall: 0.6323, relative_absolute_error: 0.7372, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.57, root_relative_squared_error: 1.1419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6473, f_measure: 0.6336, kappa: 0.2656, kb_relative_information_score: 25956.4592, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6342, predictive_accuracy: 0.6333, prior_entropy: 0.9976, recall: 0.6333, relative_absolute_error: 0.7339, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7176, f_measure: 0.6536, kappa: 0.305, kb_relative_information_score: 26004.8252, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6537, predictive_accuracy: 0.6536, prior_entropy: 0.9976, recall: 0.6536, relative_absolute_error: 0.7423, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.6473, kappa: 0.2923, kb_relative_information_score: 25919.1733, mean_absolute_error: 0.3688, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6473, predictive_accuracy: 0.6472, prior_entropy: 0.9976, recall: 0.6472, relative_absolute_error: 0.7401, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5052, root_relative_squared_error: 1.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6693, f_measure: 0.6356, kappa: 0.2696, kb_relative_information_score: 25964.2984, mean_absolute_error: 0.3662, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6361, predictive_accuracy: 0.6353, prior_entropy: 0.9976, recall: 0.6353, relative_absolute_error: 0.7348, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5578, root_relative_squared_error: 1.1174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6843, f_measure: 0.6396, kappa: 0.2773, kb_relative_information_score: 25534.8516, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6399, predictive_accuracy: 0.6394, prior_entropy: 0.9976, recall: 0.6394, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5326, root_relative_squared_error: 1.0669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6646, f_measure: 0.6308, kappa: 0.2606, kb_relative_information_score: 24908.9863, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6318, predictive_accuracy: 0.6305, prior_entropy: 0.9976, recall: 0.6305, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5577, root_relative_squared_error: 1.1173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.6532, kappa: 0.3045, kb_relative_information_score: 25810.5153, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6534, predictive_accuracy: 0.6531, prior_entropy: 0.9976, recall: 0.6531, relative_absolute_error: 0.7436, 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: 0.6891, f_measure: 0.6419, kappa: 0.2822, kb_relative_information_score: 25571.5858, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6424, predictive_accuracy: 0.6416, prior_entropy: 0.9976, recall: 0.6416, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5256, root_relative_squared_error: 1.0528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.6473, kappa: 0.2925, kb_relative_information_score: 25668.2746, mean_absolute_error: 0.3703, 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: 0.7429, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5092, root_relative_squared_error: 1.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.6524, kappa: 0.3025, kb_relative_information_score: 25980.32, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6524, predictive_accuracy: 0.6524, prior_entropy: 0.9976, recall: 0.6524, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4921, root_relative_squared_error: 0.9858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6865, f_measure: 0.639, kappa: 0.276, kb_relative_information_score: 25954.3586, mean_absolute_error: 0.3669, 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: 0.7362, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5353, root_relative_squared_error: 1.0724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7097, f_measure: 0.6538, kappa: 0.3055, kb_relative_information_score: 25846.4675, mean_absolute_error: 0.3705, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6539, predictive_accuracy: 0.6536, prior_entropy: 0.9976, recall: 0.6536, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4971, root_relative_squared_error: 0.9958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6769, f_measure: 0.6353, kappa: 0.2694, kb_relative_information_score: 25206.4694, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6361, predictive_accuracy: 0.6351, prior_entropy: 0.9976, recall: 0.6351, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5418, root_relative_squared_error: 1.0854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.6419, kappa: 0.2819, kb_relative_information_score: 25504.0431, mean_absolute_error: 0.3701, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6422, predictive_accuracy: 0.6418, prior_entropy: 0.9976, recall: 0.6418, relative_absolute_error: 0.7426, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5228, root_relative_squared_error: 1.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6963, f_measure: 0.6417, kappa: 0.2814, kb_relative_information_score: 25795.0594, mean_absolute_error: 0.3685, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6419, predictive_accuracy: 0.6415, prior_entropy: 0.9976, recall: 0.6415, relative_absolute_error: 0.7394, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5203, root_relative_squared_error: 1.0423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6803, f_measure: 0.6371, kappa: 0.2728, kb_relative_information_score: 25298.665, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6378, predictive_accuracy: 0.6368, prior_entropy: 0.9976, recall: 0.6368, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5369, root_relative_squared_error: 1.0756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.6508, kappa: 0.2995, kb_relative_information_score: 25735.102, mean_absolute_error: 0.3706, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6509, predictive_accuracy: 0.6507, prior_entropy: 0.9976, recall: 0.6507, relative_absolute_error: 0.7436, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5011, root_relative_squared_error: 1.0037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.6444, kappa: 0.2868, kb_relative_information_score: 25718.6145, mean_absolute_error: 0.3695, 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: 0.7414, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5103, root_relative_squared_error: 1.0222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7138, f_measure: 0.6517, kappa: 0.3012, kb_relative_information_score: 26023.0306, mean_absolute_error: 0.3693, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6517, predictive_accuracy: 0.6516, prior_entropy: 0.9976, recall: 0.6516, relative_absolute_error: 0.741, 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: 0.7135, f_measure: 0.6514, kappa: 0.3007, kb_relative_information_score: 25986.3605, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6515, predictive_accuracy: 0.6514, prior_entropy: 0.9976, recall: 0.6514, relative_absolute_error: 0.7413, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4951, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7192, f_measure: 0.6595, kappa: 0.3168, kb_relative_information_score: 25798.9067, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6595, predictive_accuracy: 0.6595, prior_entropy: 0.9976, recall: 0.6595, relative_absolute_error: 0.7463, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4848, root_relative_squared_error: 0.9712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6842, f_measure: 0.6389, kappa: 0.2759, kb_relative_information_score: 25482.8352, mean_absolute_error: 0.3696, 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: 0.7417, 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: 0.7162, f_measure: 0.6574, kappa: 0.3126, kb_relative_information_score: 25851.8544, mean_absolute_error: 0.3712, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6574, predictive_accuracy: 0.6575, prior_entropy: 0.9976, recall: 0.6575, relative_absolute_error: 0.7449, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.6492, kappa: 0.2963, kb_relative_information_score: 25892.4992, mean_absolute_error: 0.3694, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6493, predictive_accuracy: 0.6491, prior_entropy: 0.9976, recall: 0.6491, relative_absolute_error: 0.7411, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5019, root_relative_squared_error: 1.0054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7114, f_measure: 0.6505, kappa: 0.2988, kb_relative_information_score: 26009.6886, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6505, predictive_accuracy: 0.6505, prior_entropy: 0.9976, recall: 0.6505, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.498, root_relative_squared_error: 0.9976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7095, f_measure: 0.6528, kappa: 0.3036, kb_relative_information_score: 25797.1205, mean_absolute_error: 0.3706, 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: 0.7437, 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: 0.7192, f_measure: 0.6551, kappa: 0.308, kb_relative_information_score: 26011.1675, mean_absolute_error: 0.3701, 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: 0.7427, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4869, root_relative_squared_error: 0.9755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.721, f_measure: 0.6565, kappa: 0.3108, kb_relative_information_score: 26032.8918, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6565, predictive_accuracy: 0.6564, prior_entropy: 0.9976, recall: 0.6564, relative_absolute_error: 0.7429, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4847, root_relative_squared_error: 0.9711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.6541, kappa: 0.306, kb_relative_information_score: 26062.0461, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6541, predictive_accuracy: 0.6541, prior_entropy: 0.9976, recall: 0.6541, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.6527, kappa: 0.3034, kb_relative_information_score: 25777.8664, mean_absolute_error: 0.3707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6529, predictive_accuracy: 0.6526, prior_entropy: 0.9976, recall: 0.6526, relative_absolute_error: 0.7438, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4974, root_relative_squared_error: 0.9964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6555, kappa: 0.3089, kb_relative_information_score: 25870.3563, mean_absolute_error: 0.3708, 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: 0.7441, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4912, root_relative_squared_error: 0.9839,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.6475, kappa: 0.2927, kb_relative_information_score: 25957.0937, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6475, predictive_accuracy: 0.6474, prior_entropy: 0.9976, recall: 0.6474, relative_absolute_error: 0.7398, 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: 0.7182, f_measure: 0.6597, kappa: 0.3174, kb_relative_information_score: 25884.2331, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6598, predictive_accuracy: 0.6597, prior_entropy: 0.9976, recall: 0.6597, relative_absolute_error: 0.7451, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4865, root_relative_squared_error: 0.9745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.6452, kappa: 0.2886, kb_relative_information_score: 25587.9599, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6455, predictive_accuracy: 0.645, prior_entropy: 0.9976, recall: 0.645, relative_absolute_error: 0.7431, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5142, root_relative_squared_error: 1.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6555, f_measure: 0.6279, kappa: 0.254, kb_relative_information_score: 24779.3002, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6283, predictive_accuracy: 0.6278, prior_entropy: 0.9976, recall: 0.6278, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5704, root_relative_squared_error: 1.1426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6998, f_measure: 0.6429, kappa: 0.2836, kb_relative_information_score: 25763.6986, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.643, predictive_accuracy: 0.6428, prior_entropy: 0.9976, recall: 0.6428, relative_absolute_error: 0.7404, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5146, root_relative_squared_error: 1.0309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6968, f_measure: 0.6453, kappa: 0.2888, kb_relative_information_score: 25598.6514, mean_absolute_error: 0.3703, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6456, predictive_accuracy: 0.6451, prior_entropy: 0.9976, recall: 0.6451, relative_absolute_error: 0.743, 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: 0.7061, f_measure: 0.6513, kappa: 0.3005, kb_relative_information_score: 25723.6597, mean_absolute_error: 0.3707, 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: 0.7438, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5013, root_relative_squared_error: 1.0043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7195, f_measure: 0.6597, kappa: 0.3172, kb_relative_information_score: 25846.9622, mean_absolute_error: 0.3717, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6597, predictive_accuracy: 0.6597, prior_entropy: 0.9976, recall: 0.6597, relative_absolute_error: 0.7458, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9709,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7139, f_measure: 0.6551, kappa: 0.3082, kb_relative_information_score: 25808.7611, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6552, predictive_accuracy: 0.6551, prior_entropy: 0.9976, recall: 0.6551, relative_absolute_error: 0.7447, 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: 0.7016, f_measure: 0.648, kappa: 0.294, kb_relative_information_score: 25794.0658, mean_absolute_error: 0.3696, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6482, predictive_accuracy: 0.6479, prior_entropy: 0.9976, recall: 0.6479, relative_absolute_error: 0.7417, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5088, root_relative_squared_error: 1.0194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7214, f_measure: 0.6566, kappa: 0.3111, kb_relative_information_score: 26086.2569, 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: 0.4845, root_relative_squared_error: 0.9706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7024, f_measure: 0.6451, kappa: 0.2882, kb_relative_information_score: 25748.0286, mean_absolute_error: 0.3694, 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: 0.7413, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.5102, root_relative_squared_error: 1.0221,

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