OpenML
Supervised Classification on first-order-theorem-proving

Supervised Classification on first-order-theorem-proving

Task 9985 Supervised Classification first-order-theorem-proving 18740 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.6088, kappa: 0.4815, kb_relative_information_score: 213.9776, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6051, predictive_accuracy: 0.6219, prior_entropy: 2.3005, recall: 0.6219, relative_absolute_error: 1.1008, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3703, root_relative_squared_error: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.775, f_measure: 0.4622, kappa: 0.293, kb_relative_information_score: 186.1055, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4965, predictive_accuracy: 0.5234, prior_entropy: 2.3005, recall: 0.5234, relative_absolute_error: 1.1052, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3718, root_relative_squared_error: 1.0501,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8645, f_measure: 0.6045, kappa: 0.4761, kb_relative_information_score: 2606.6608, mean_absolute_error: 0.1661, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5992, predictive_accuracy: 0.6159, prior_entropy: 2.3005, recall: 0.6159, relative_absolute_error: 0.6624, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.8277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.5933, kappa: 0.4621, kb_relative_information_score: 2399.0346, mean_absolute_error: 0.1786, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5921, predictive_accuracy: 0.6147, prior_entropy: 2.3005, recall: 0.6147, relative_absolute_error: 0.7124, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7388, f_measure: 0.3718, kappa: 0.1618, kb_relative_information_score: 187.4626, mean_absolute_error: 0.2768, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4503, predictive_accuracy: 0.4768, prior_entropy: 2.3005, recall: 0.4768, relative_absolute_error: 1.1039, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3714, root_relative_squared_error: 1.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.6127, kappa: 0.4861, kb_relative_information_score: 203.1181, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6085, predictive_accuracy: 0.6218, prior_entropy: 2.3005, recall: 0.6218, relative_absolute_error: 1.1034, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3712, root_relative_squared_error: 1.0484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7471, f_measure: 0.508, kappa: 0.3466, kb_relative_information_score: 274.1697, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5112, predictive_accuracy: 0.5376, prior_entropy: 2.3005, recall: 0.5376, relative_absolute_error: 1.0919, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3676, root_relative_squared_error: 1.0383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.5899, kappa: 0.458, kb_relative_information_score: 2390.2435, mean_absolute_error: 0.1783, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5872, predictive_accuracy: 0.6107, prior_entropy: 2.3005, recall: 0.6107, relative_absolute_error: 0.711, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.294, root_relative_squared_error: 0.8302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8625, f_measure: 0.5806, kappa: 0.4452, kb_relative_information_score: 2299.4848, mean_absolute_error: 0.182, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5797, predictive_accuracy: 0.6035, prior_entropy: 2.3005, recall: 0.6035, relative_absolute_error: 0.7257, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2962, root_relative_squared_error: 0.8366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.602, kappa: 0.4728, kb_relative_information_score: 202.2191, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5976, predictive_accuracy: 0.6151, prior_entropy: 2.3005, recall: 0.6151, relative_absolute_error: 1.1031, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3711, root_relative_squared_error: 1.0482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.608, kappa: 0.4817, kb_relative_information_score: 2498.9409, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6044, predictive_accuracy: 0.6257, prior_entropy: 2.3005, recall: 0.6257, relative_absolute_error: 0.6934, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2907, root_relative_squared_error: 0.8211,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, f_measure: 0.5676, kappa: 0.4284, kb_relative_information_score: 2151.2729, mean_absolute_error: 0.1871, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.569, predictive_accuracy: 0.5945, prior_entropy: 2.3005, recall: 0.5945, relative_absolute_error: 0.746, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2988, root_relative_squared_error: 0.8438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7541, f_measure: 0.4259, kappa: 0.231, kb_relative_information_score: 366.8725, mean_absolute_error: 0.2678, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4794, predictive_accuracy: 0.4974, prior_entropy: 2.3005, recall: 0.4974, relative_absolute_error: 1.0677, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3603, root_relative_squared_error: 1.0176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8665, f_measure: 0.5895, kappa: 0.4572, kb_relative_information_score: 2323.6577, mean_absolute_error: 0.1802, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5897, predictive_accuracy: 0.6118, prior_entropy: 2.3005, recall: 0.6118, relative_absolute_error: 0.7185, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2943, root_relative_squared_error: 0.8312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.6102, kappa: 0.4835, kb_relative_information_score: 2933.9411, mean_absolute_error: 0.1459, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.609, predictive_accuracy: 0.6241, prior_entropy: 2.3005, recall: 0.6241, relative_absolute_error: 0.5818, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3037, root_relative_squared_error: 0.8576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.6007, kappa: 0.4711, kb_relative_information_score: 2900.9941, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6003, predictive_accuracy: 0.6152, prior_entropy: 2.3005, recall: 0.6152, relative_absolute_error: 0.5829, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3072, root_relative_squared_error: 0.8676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8643, f_measure: 0.585, kappa: 0.4507, kb_relative_information_score: 2316.5046, mean_absolute_error: 0.1818, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5848, predictive_accuracy: 0.6079, prior_entropy: 2.3005, recall: 0.6079, relative_absolute_error: 0.7251, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2954, root_relative_squared_error: 0.8344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8705, f_measure: 0.5972, kappa: 0.4676, kb_relative_information_score: 2463.319, mean_absolute_error: 0.174, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5937, predictive_accuracy: 0.6162, prior_entropy: 2.3005, recall: 0.6162, relative_absolute_error: 0.6938, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2913, root_relative_squared_error: 0.8228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7773, f_measure: 0.4997, kappa: 0.3382, kb_relative_information_score: 183.1169, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5147, predictive_accuracy: 0.5397, prior_entropy: 2.3005, recall: 0.5397, relative_absolute_error: 1.1061, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8392, f_measure: 0.6083, kappa: 0.4802, kb_relative_information_score: 196.6706, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6042, predictive_accuracy: 0.6164, prior_entropy: 2.3005, recall: 0.6164, relative_absolute_error: 1.1044, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3716, root_relative_squared_error: 1.0494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.6048, kappa: 0.4776, kb_relative_information_score: 2535.2531, mean_absolute_error: 0.1701, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6009, predictive_accuracy: 0.6218, prior_entropy: 2.3005, recall: 0.6218, relative_absolute_error: 0.6785, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2902, root_relative_squared_error: 0.8195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, f_measure: 0.5863, kappa: 0.4534, kb_relative_information_score: 2327.3959, mean_absolute_error: 0.1801, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5844, predictive_accuracy: 0.6085, prior_entropy: 2.3005, recall: 0.6085, relative_absolute_error: 0.7182, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.8309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8712, f_measure: 0.6028, kappa: 0.4749, kb_relative_information_score: 2445.8475, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6001, predictive_accuracy: 0.6214, prior_entropy: 2.3005, recall: 0.6214, relative_absolute_error: 0.7003, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.8225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, f_measure: 0.573, kappa: 0.4351, kb_relative_information_score: 2221.7388, mean_absolute_error: 0.1855, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5755, predictive_accuracy: 0.5992, prior_entropy: 2.3005, recall: 0.5992, relative_absolute_error: 0.7396, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2978, root_relative_squared_error: 0.8411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7103, kappa: 0.1767, kb_relative_information_score: 176.3501, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.464, prior_entropy: 2.3005, recall: 0.464, relative_absolute_error: 1.1071, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3725, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7396, kappa: 0.2111, kb_relative_information_score: 179.5781, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4789, prior_entropy: 2.3005, recall: 0.4789, relative_absolute_error: 1.1064, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.0512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8616, f_measure: 0.5762, kappa: 0.4402, kb_relative_information_score: 2203.5081, mean_absolute_error: 0.1851, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5771, predictive_accuracy: 0.6018, prior_entropy: 2.3005, recall: 0.6018, relative_absolute_error: 0.7381, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.8398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7232, kappa: 0.096, kb_relative_information_score: 226.2188, mean_absolute_error: 0.2738, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4493, prior_entropy: 2.3005, recall: 0.4493, relative_absolute_error: 1.0918, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3675, root_relative_squared_error: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8606, f_measure: 0.5692, kappa: 0.4302, kb_relative_information_score: 2218.9507, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5698, predictive_accuracy: 0.5955, prior_entropy: 2.3005, recall: 0.5955, relative_absolute_error: 0.7407, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.298, root_relative_squared_error: 0.8417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8682, f_measure: 0.5967, kappa: 0.467, kb_relative_information_score: 2432.0177, mean_absolute_error: 0.1749, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5937, predictive_accuracy: 0.6162, prior_entropy: 2.3005, recall: 0.6162, relative_absolute_error: 0.6974, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.6037, kappa: 0.4743, kb_relative_information_score: 3033.122, mean_absolute_error: 0.1305, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5995, predictive_accuracy: 0.6151, prior_entropy: 2.3005, recall: 0.6151, relative_absolute_error: 0.5203, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.335, root_relative_squared_error: 0.9461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8629, f_measure: 0.5725, kappa: 0.4337, kb_relative_information_score: 2257.8393, mean_absolute_error: 0.1844, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5748, predictive_accuracy: 0.5986, prior_entropy: 2.3005, recall: 0.5986, relative_absolute_error: 0.7352, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2969, root_relative_squared_error: 0.8385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8328, f_measure: 0.5639, kappa: 0.4237, kb_relative_information_score: 2186.3018, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5652, predictive_accuracy: 0.5878, prior_entropy: 2.3005, recall: 0.5878, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3057, root_relative_squared_error: 0.8634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.873, f_measure: 0.6032, kappa: 0.4755, kb_relative_information_score: 2516.166, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6002, predictive_accuracy: 0.6214, prior_entropy: 2.3005, recall: 0.6214, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.29, root_relative_squared_error: 0.8191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8595, f_measure: 0.5732, kappa: 0.4355, kb_relative_information_score: 2182.4044, mean_absolute_error: 0.1857, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5745, predictive_accuracy: 0.5991, prior_entropy: 2.3005, recall: 0.5991, relative_absolute_error: 0.7406, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2981, root_relative_squared_error: 0.8418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, f_measure: 0.5661, kappa: 0.4258, kb_relative_information_score: 2144.5708, mean_absolute_error: 0.1878, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5706, predictive_accuracy: 0.5946, prior_entropy: 2.3005, recall: 0.5946, relative_absolute_error: 0.7487, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.299, root_relative_squared_error: 0.8445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.5872, kappa: 0.4543, kb_relative_information_score: 2310.6882, mean_absolute_error: 0.1804, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5862, predictive_accuracy: 0.6098, prior_entropy: 2.3005, recall: 0.6098, relative_absolute_error: 0.7194, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2949, root_relative_squared_error: 0.8329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.866, f_measure: 0.5934, kappa: 0.4625, kb_relative_information_score: 2347.2091, mean_absolute_error: 0.1788, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5914, predictive_accuracy: 0.6146, prior_entropy: 2.3005, recall: 0.6146, relative_absolute_error: 0.7131, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.294, root_relative_squared_error: 0.8305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.5557, kappa: 0.4093, kb_relative_information_score: 1101.5344, mean_absolute_error: 0.2422, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5581, predictive_accuracy: 0.5721, prior_entropy: 2.3005, recall: 0.5721, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3369, root_relative_squared_error: 0.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8554, f_measure: 0.6076, kappa: 0.4796, kb_relative_information_score: 3053.2955, mean_absolute_error: 0.1301, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6045, predictive_accuracy: 0.6198, prior_entropy: 2.3005, recall: 0.6198, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3304, root_relative_squared_error: 0.9331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8587, f_measure: 0.5627, kappa: 0.4208, kb_relative_information_score: 2163.8718, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5656, predictive_accuracy: 0.5907, prior_entropy: 2.3005, recall: 0.5907, relative_absolute_error: 0.7501, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.8455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7368, f_measure: 0.4792, kappa: 0.3052, kb_relative_information_score: 191.5392, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4772, predictive_accuracy: 0.507, prior_entropy: 2.3005, recall: 0.507, relative_absolute_error: 1.1049, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8721, f_measure: 0.6201, kappa: 0.4973, kb_relative_information_score: 2727.4027, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6148, predictive_accuracy: 0.6322, prior_entropy: 2.3005, recall: 0.6322, relative_absolute_error: 0.6394, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2891, root_relative_squared_error: 0.8164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8485, f_measure: 0.5436, kappa: 0.3968, kb_relative_information_score: 1999.965, mean_absolute_error: 0.194, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5515, predictive_accuracy: 0.578, prior_entropy: 2.3005, recall: 0.578, relative_absolute_error: 0.7737, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.304, root_relative_squared_error: 0.8586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8297, f_measure: 0.584, kappa: 0.4476, kb_relative_information_score: 1676.0525, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5855, predictive_accuracy: 0.5987, prior_entropy: 2.3005, recall: 0.5987, relative_absolute_error: 0.8715, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.8974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.5689, kappa: 0.43, kb_relative_information_score: 203.3737, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5747, predictive_accuracy: 0.593, prior_entropy: 2.3005, recall: 0.593, relative_absolute_error: 1.1021, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.0472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.823, f_measure: 0.5666, kappa: 0.4269, kb_relative_information_score: 191.86, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5709, predictive_accuracy: 0.5873, prior_entropy: 2.3005, recall: 0.5873, relative_absolute_error: 1.1047, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.0496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8491, f_measure: 0.6054, kappa: 0.4756, kb_relative_information_score: 2373.1443, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6042, predictive_accuracy: 0.6136, prior_entropy: 2.3005, recall: 0.6136, relative_absolute_error: 0.7432, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.8498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8536, f_measure: 0.6078, kappa: 0.4798, kb_relative_information_score: 212.4999, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6038, predictive_accuracy: 0.6192, prior_entropy: 2.3005, recall: 0.6192, relative_absolute_error: 1.1011, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3705, root_relative_squared_error: 1.0463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8489, f_measure: 0.5425, kappa: 0.3948, kb_relative_information_score: 1996.015, mean_absolute_error: 0.1942, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5507, predictive_accuracy: 0.5773, prior_entropy: 2.3005, recall: 0.5773, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3041, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8466, f_measure: 0.5943, kappa: 0.4624, kb_relative_information_score: 202.9081, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5903, predictive_accuracy: 0.6076, prior_entropy: 2.3005, recall: 0.6076, relative_absolute_error: 1.1029, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3711, root_relative_squared_error: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8562, f_measure: 0.5631, kappa: 0.4221, kb_relative_information_score: 2141.4074, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5666, predictive_accuracy: 0.5917, prior_entropy: 2.3005, recall: 0.5917, relative_absolute_error: 0.7513, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3003, root_relative_squared_error: 0.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7946, f_measure: 0.5252, kappa: 0.3678, kb_relative_information_score: 1038.7471, mean_absolute_error: 0.2462, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5239, predictive_accuracy: 0.5315, prior_entropy: 2.3005, recall: 0.5315, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8321, f_measure: 0.5419, kappa: 0.3951, kb_relative_information_score: 207.5534, mean_absolute_error: 0.276, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5493, predictive_accuracy: 0.5721, prior_entropy: 2.3005, recall: 0.5721, relative_absolute_error: 1.1008, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3704, root_relative_squared_error: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7062, kappa: 0.1249, kb_relative_information_score: 183.0839, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4577, prior_entropy: 2.3005, recall: 0.4577, relative_absolute_error: 1.1047, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.0497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.4611, kappa: 0.2821, kb_relative_information_score: 326.4292, mean_absolute_error: 0.2709, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4851, predictive_accuracy: 0.5132, prior_entropy: 2.3005, recall: 0.5132, relative_absolute_error: 1.0801, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.364, root_relative_squared_error: 1.0279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.6078, kappa: 0.4814, kb_relative_information_score: 2594.508, mean_absolute_error: 0.1673, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6028, predictive_accuracy: 0.6224, prior_entropy: 2.3005, recall: 0.6224, relative_absolute_error: 0.6672, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.8184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.5978, kappa: 0.4654, kb_relative_information_score: 1604.1123, mean_absolute_error: 0.2231, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5978, predictive_accuracy: 0.608, prior_entropy: 2.3005, recall: 0.608, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3192, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.6099, kappa: 0.4821, kb_relative_information_score: 211.2342, mean_absolute_error: 0.2764, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6057, predictive_accuracy: 0.617, prior_entropy: 2.3005, recall: 0.617, relative_absolute_error: 1.1022, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3708, root_relative_squared_error: 1.0473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.5782, kappa: 0.442, kb_relative_information_score: 199.0784, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5796, predictive_accuracy: 0.5989, prior_entropy: 2.3005, recall: 0.5989, relative_absolute_error: 1.1033, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3712, root_relative_squared_error: 1.0483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7861, f_measure: 0.5058, kappa: 0.3442, kb_relative_information_score: 178.1273, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5071, predictive_accuracy: 0.5329, prior_entropy: 2.3005, recall: 0.5329, relative_absolute_error: 1.1071, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3725, root_relative_squared_error: 1.0519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7778, f_measure: 0.4812, kappa: 0.3166, kb_relative_information_score: 183.8805, mean_absolute_error: 0.2773, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5057, predictive_accuracy: 0.5301, prior_entropy: 2.3005, recall: 0.5301, relative_absolute_error: 1.1059, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3721, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.5625, kappa: 0.4209, kb_relative_information_score: 2121.7168, mean_absolute_error: 0.1884, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5672, predictive_accuracy: 0.591, prior_entropy: 2.3005, recall: 0.591, relative_absolute_error: 0.7511, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2997, root_relative_squared_error: 0.8465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8529, f_measure: 0.6067, kappa: 0.4787, kb_relative_information_score: 2965.5643, mean_absolute_error: 0.1417, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6057, predictive_accuracy: 0.6216, prior_entropy: 2.3005, recall: 0.6216, relative_absolute_error: 0.5649, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.8743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.865, f_measure: 0.5851, kappa: 0.451, kb_relative_information_score: 2298.3138, mean_absolute_error: 0.1817, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5848, predictive_accuracy: 0.6077, prior_entropy: 2.3005, recall: 0.6077, relative_absolute_error: 0.7247, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2951, root_relative_squared_error: 0.8335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8652, f_measure: 0.5904, kappa: 0.4579, kb_relative_information_score: 2389.8027, mean_absolute_error: 0.1781, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5882, predictive_accuracy: 0.6108, prior_entropy: 2.3005, recall: 0.6108, relative_absolute_error: 0.7104, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2942, root_relative_squared_error: 0.8309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8628, f_measure: 0.5764, kappa: 0.4391, kb_relative_information_score: 2240.2401, mean_absolute_error: 0.1841, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5777, predictive_accuracy: 0.601, prior_entropy: 2.3005, recall: 0.601, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2967, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8449, f_measure: 0.6105, kappa: 0.4838, kb_relative_information_score: 196.8829, mean_absolute_error: 0.277, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6056, predictive_accuracy: 0.6182, prior_entropy: 2.3005, recall: 0.6182, relative_absolute_error: 1.1045, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3716, root_relative_squared_error: 1.0495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8686, f_measure: 0.5935, kappa: 0.4626, kb_relative_information_score: 2459.1019, mean_absolute_error: 0.1752, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.591, predictive_accuracy: 0.6138, prior_entropy: 2.3005, recall: 0.6138, relative_absolute_error: 0.6987, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.8258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7147, kappa: 0.1533, kb_relative_information_score: 176.2864, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4632, prior_entropy: 2.3005, recall: 0.4632, relative_absolute_error: 1.1072, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3725, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8269, f_measure: 0.5249, kappa: 0.3734, kb_relative_information_score: 209.8673, mean_absolute_error: 0.2758, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5332, predictive_accuracy: 0.5606, prior_entropy: 2.3005, recall: 0.5606, relative_absolute_error: 1.1, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3701, root_relative_squared_error: 1.0453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.4326, kappa: 0.2471, kb_relative_information_score: 191.1304, mean_absolute_error: 0.2767, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4698, predictive_accuracy: 0.5072, prior_entropy: 2.3005, recall: 0.5072, relative_absolute_error: 1.1034, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3712, root_relative_squared_error: 1.0485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8405, f_measure: 0.5978, kappa: 0.4672, kb_relative_information_score: 1701.7912, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5998, predictive_accuracy: 0.6125, prior_entropy: 2.3005, recall: 0.6125, relative_absolute_error: 0.8702, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3164, root_relative_squared_error: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8479, f_measure: 0.5959, kappa: 0.4643, kb_relative_information_score: 2924.4983, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5926, predictive_accuracy: 0.6087, prior_entropy: 2.3005, recall: 0.6087, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.314, root_relative_squared_error: 0.8869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8561, f_measure: 0.6008, kappa: 0.4712, kb_relative_information_score: 225.7499, mean_absolute_error: 0.2754, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5963, predictive_accuracy: 0.6144, prior_entropy: 2.3005, recall: 0.6144, relative_absolute_error: 1.0984, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3696, root_relative_squared_error: 1.0438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8675, f_measure: 0.5984, kappa: 0.4692, kb_relative_information_score: 2434.1263, mean_absolute_error: 0.1747, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.595, predictive_accuracy: 0.6172, prior_entropy: 2.3005, recall: 0.6172, relative_absolute_error: 0.6967, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2926, root_relative_squared_error: 0.8264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.5858, kappa: 0.4523, kb_relative_information_score: 208.6063, mean_absolute_error: 0.2762, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5842, predictive_accuracy: 0.6043, prior_entropy: 2.3005, recall: 0.6043, relative_absolute_error: 1.1014, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3706, root_relative_squared_error: 1.0465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7308, f_measure: 0.4716, kappa: 0.2955, kb_relative_information_score: 195.7461, mean_absolute_error: 0.2769, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.4692, predictive_accuracy: 0.4995, prior_entropy: 2.3005, recall: 0.4995, relative_absolute_error: 1.1041, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3715, root_relative_squared_error: 1.0492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8727, f_measure: 0.6082, kappa: 0.4823, kb_relative_information_score: 2538.1698, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6037, predictive_accuracy: 0.6247, prior_entropy: 2.3005, recall: 0.6247, relative_absolute_error: 0.6841, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2896, root_relative_squared_error: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8681, f_measure: 0.5953, kappa: 0.465, kb_relative_information_score: 2434.3352, mean_absolute_error: 0.1764, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5932, predictive_accuracy: 0.6159, prior_entropy: 2.3005, recall: 0.6159, relative_absolute_error: 0.7034, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2928, root_relative_squared_error: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8592, f_measure: 0.6107, kappa: 0.4837, kb_relative_information_score: 3027.9859, mean_absolute_error: 0.1375, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6084, predictive_accuracy: 0.6205, prior_entropy: 2.3005, recall: 0.6205, relative_absolute_error: 0.5483, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3131, root_relative_squared_error: 0.8843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8093, f_measure: 0.5575, kappa: 0.4145, kb_relative_information_score: 1132.6664, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5618, predictive_accuracy: 0.5775, prior_entropy: 2.3005, recall: 0.5775, relative_absolute_error: 0.9603, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3353, root_relative_squared_error: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8611, f_measure: 0.5774, kappa: 0.4413, kb_relative_information_score: 2242.8118, mean_absolute_error: 0.1846, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5784, predictive_accuracy: 0.6028, prior_entropy: 2.3005, recall: 0.6028, relative_absolute_error: 0.736, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2973, root_relative_squared_error: 0.8395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6964, kappa: 0.1303, kb_relative_information_score: 176.8598, mean_absolute_error: 0.2776, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4479, prior_entropy: 2.3005, recall: 0.4479, relative_absolute_error: 1.1069, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3724, root_relative_squared_error: 1.0517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.5316, kappa: 0.3822, kb_relative_information_score: 1615.0344, mean_absolute_error: 0.2161, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5392, predictive_accuracy: 0.5659, prior_entropy: 2.3005, recall: 0.5659, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3168, root_relative_squared_error: 0.8946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.6014, kappa: 0.4729, kb_relative_information_score: 2526.7982, mean_absolute_error: 0.1723, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5982, predictive_accuracy: 0.6198, prior_entropy: 2.3005, recall: 0.6198, relative_absolute_error: 0.687, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.8212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, kappa: 0.0447, kb_relative_information_score: 239.5978, mean_absolute_error: 0.2712, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4335, prior_entropy: 2.3005, recall: 0.4335, relative_absolute_error: 1.0815, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3644, root_relative_squared_error: 1.0292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8523, f_measure: 0.6074, kappa: 0.4794, kb_relative_information_score: 3053.6406, mean_absolute_error: 0.13, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6039, predictive_accuracy: 0.6188, prior_entropy: 2.3005, recall: 0.6188, relative_absolute_error: 0.5184, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3308, root_relative_squared_error: 0.9343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8683, f_measure: 0.5906, kappa: 0.4587, kb_relative_information_score: 2404.7152, mean_absolute_error: 0.1779, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5887, predictive_accuracy: 0.6123, prior_entropy: 2.3005, recall: 0.6123, relative_absolute_error: 0.7095, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2932, root_relative_squared_error: 0.8281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.6093, kappa: 0.4834, kb_relative_information_score: 2603.6997, mean_absolute_error: 0.1675, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6049, predictive_accuracy: 0.625, prior_entropy: 2.3005, recall: 0.625, relative_absolute_error: 0.6678, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.8153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, kb_relative_information_score: 177.612, mean_absolute_error: 0.2771, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, predictive_accuracy: 0.4175, prior_entropy: 2.3005, recall: 0.4175, relative_absolute_error: 1.1049, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3717, root_relative_squared_error: 1.0499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8573, f_measure: 0.6111, kappa: 0.4839, kb_relative_information_score: 3044.3318, mean_absolute_error: 0.1351, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6091, predictive_accuracy: 0.6231, prior_entropy: 2.3005, recall: 0.6231, relative_absolute_error: 0.5387, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.316, root_relative_squared_error: 0.8925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8447, f_measure: 0.5822, kappa: 0.4465, kb_relative_information_score: 210.7739, mean_absolute_error: 0.2761, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5815, predictive_accuracy: 0.6004, prior_entropy: 2.3005, recall: 0.6004, relative_absolute_error: 1.1009, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3704, root_relative_squared_error: 1.0461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8461, f_measure: 0.5367, kappa: 0.3875, kb_relative_information_score: 1934.0109, mean_absolute_error: 0.1955, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5492, predictive_accuracy: 0.5736, prior_entropy: 2.3005, recall: 0.5736, relative_absolute_error: 0.7795, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.305, root_relative_squared_error: 0.8615,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8143, f_measure: 0.5653, kappa: 0.4226, kb_relative_information_score: 1023.1626, mean_absolute_error: 0.2458, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5708, predictive_accuracy: 0.5822, prior_entropy: 2.3005, recall: 0.5822, relative_absolute_error: 0.9801, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.9579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8711, f_measure: 0.6156, kappa: 0.4906, kb_relative_information_score: 2758.448, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6106, predictive_accuracy: 0.6263, prior_entropy: 2.3005, recall: 0.6263, relative_absolute_error: 0.6354, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.2898, root_relative_squared_error: 0.8185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.5305, kappa: 0.3789, kb_relative_information_score: 1904.0671, mean_absolute_error: 0.1967, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5444, predictive_accuracy: 0.5688, prior_entropy: 2.3005, recall: 0.5688, relative_absolute_error: 0.7843, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3059, root_relative_squared_error: 0.8638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8476, f_measure: 0.6168, kappa: 0.4921, kb_relative_information_score: 205.9567, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.6124, predictive_accuracy: 0.6263, prior_entropy: 2.3005, recall: 0.6263, relative_absolute_error: 1.1029, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3711, root_relative_squared_error: 1.0479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7484, f_measure: 0.5132, kappa: 0.3536, kb_relative_information_score: 260.3359, mean_absolute_error: 0.2743, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.5142, predictive_accuracy: 0.5404, prior_entropy: 2.3005, recall: 0.5404, relative_absolute_error: 1.094, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3683, root_relative_squared_error: 1.0401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.5981, kappa: 0.4656, kb_relative_information_score: 184.2195, mean_absolute_error: 0.2774, mean_prior_absolute_error: 0.2508, number_of_instances: 6118, precision: 0.597, predictive_accuracy: 0.6054, prior_entropy: 2.3005, recall: 0.6054, relative_absolute_error: 1.1063, root_mean_prior_squared_error: 0.3541, root_mean_squared_error: 0.3722, root_relative_squared_error: 1.0512,

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

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Use one of our APIs to download data from OpenML and upload your results

OpenML APIs