OpenML
Supervised Classification on Bioresponse

Supervised Classification on Bioresponse

Task 14966 Supervised Classification Bioresponse 19049 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.657, f_measure: 0.6593, kappa: 0.3139, kb_relative_information_score: 1168.4713, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6594, predictive_accuracy: 0.6593, prior_entropy: 0.9948, recall: 0.6593, relative_absolute_error: 0.6863, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5837, root_relative_squared_error: 1.1716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5079, f_measure: 0.4003, kappa: 0.0172, kb_relative_information_score: 333.905, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6668, predictive_accuracy: 0.5492, prior_entropy: 0.9948, recall: 0.5492, relative_absolute_error: 0.9081, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6714, root_relative_squared_error: 1.3477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5141, f_measure: 0.5176, kappa: 0.0281, kb_relative_information_score: 95.4574, mean_absolute_error: 0.4823, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5175, predictive_accuracy: 0.5177, prior_entropy: 0.9948, recall: 0.5177, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6945, root_relative_squared_error: 1.3939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5297, f_measure: 0.533, kappa: 0.0594, kb_relative_information_score: 210.6397, mean_absolute_error: 0.4671, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5331, predictive_accuracy: 0.5329, prior_entropy: 0.9948, recall: 0.5329, relative_absolute_error: 0.9409, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6834, root_relative_squared_error: 1.3718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5009, f_measure: 0.3831, kappa: 0.0019, kb_relative_information_score: 287.4279, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.752, predictive_accuracy: 0.5431, prior_entropy: 0.9948, recall: 0.5431, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.676, root_relative_squared_error: 1.3568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.78, kappa: 0.5562, kb_relative_information_score: 2087.9088, mean_absolute_error: 0.2194, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7803, predictive_accuracy: 0.7806, prior_entropy: 0.9948, recall: 0.7806, relative_absolute_error: 0.442, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.7771, kappa: 0.5504, kb_relative_information_score: 2065.6806, mean_absolute_error: 0.2223, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7774, predictive_accuracy: 0.7777, prior_entropy: 0.9948, recall: 0.7777, relative_absolute_error: 0.4479, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7843, f_measure: 0.7863, kappa: 0.5693, kb_relative_information_score: 2132.3651, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7863, predictive_accuracy: 0.7865, prior_entropy: 0.9948, recall: 0.7865, relative_absolute_error: 0.4302, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9275,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7769, f_measure: 0.7803, kappa: 0.5567, kb_relative_information_score: 2091.9503, mean_absolute_error: 0.2189, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7811, predictive_accuracy: 0.7811, prior_entropy: 0.9948, recall: 0.7811, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4678, root_relative_squared_error: 0.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7676, f_measure: 0.7712, kappa: 0.5383, kb_relative_information_score: 2023.2451, mean_absolute_error: 0.2279, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.772, predictive_accuracy: 0.7721, prior_entropy: 0.9948, recall: 0.7721, relative_absolute_error: 0.4592, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4774, root_relative_squared_error: 0.9583,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.5211, kappa: 0.035, kb_relative_information_score: 121.7271, mean_absolute_error: 0.4788, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5209, predictive_accuracy: 0.5212, prior_entropy: 0.9948, recall: 0.5212, relative_absolute_error: 0.9645, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.692, root_relative_squared_error: 1.3889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5198, f_measure: 0.5234, kappa: 0.0396, kb_relative_information_score: 139.9137, mean_absolute_error: 0.4764, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5232, predictive_accuracy: 0.5236, prior_entropy: 0.9948, recall: 0.5236, relative_absolute_error: 0.9597, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6902, root_relative_squared_error: 1.3854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.5143, kappa: 0.0216, kb_relative_information_score: 69.1878, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5143, predictive_accuracy: 0.5143, prior_entropy: 0.9948, recall: 0.5143, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6969, root_relative_squared_error: 1.3989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7422, f_measure: 0.7442, kappa: 0.4846, kb_relative_information_score: 1813.0879, mean_absolute_error: 0.2557, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7442, predictive_accuracy: 0.7443, prior_entropy: 0.9948, recall: 0.7443, relative_absolute_error: 0.515, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5056, root_relative_squared_error: 1.0149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7595, kappa: 0.5156, kb_relative_information_score: 1928.2702, mean_absolute_error: 0.2405, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7595, predictive_accuracy: 0.7595, prior_entropy: 0.9948, recall: 0.7595, relative_absolute_error: 0.4844, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4904, root_relative_squared_error: 0.9843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7338, f_measure: 0.7363, kappa: 0.4685, kb_relative_information_score: 1754.4864, mean_absolute_error: 0.2634, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7362, predictive_accuracy: 0.7366, prior_entropy: 0.9948, recall: 0.7366, relative_absolute_error: 0.5306, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5132, root_relative_squared_error: 1.0301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5203, f_measure: 0.5238, kappa: 0.0406, kb_relative_information_score: 141.9345, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5237, predictive_accuracy: 0.5239, prior_entropy: 0.9948, recall: 0.5239, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.69, root_relative_squared_error: 1.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6076, f_measure: 0.584, kappa: 0.2272, kb_relative_information_score: 996.7082, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7032, predictive_accuracy: 0.6366, prior_entropy: 0.9948, recall: 0.6366, relative_absolute_error: 0.732, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6028, root_relative_squared_error: 1.2099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7423, f_measure: 0.7449, kappa: 0.4856, kb_relative_information_score: 1819.1501, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7448, predictive_accuracy: 0.7451, prior_entropy: 0.9948, recall: 0.7451, relative_absolute_error: 0.5134, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5048, root_relative_squared_error: 1.0133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5901, f_measure: 0.5928, kappa: 0.18, kb_relative_information_score: 663.2859, mean_absolute_error: 0.4074, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5929, predictive_accuracy: 0.5926, prior_entropy: 0.9948, recall: 0.5926, relative_absolute_error: 0.8206, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6382, root_relative_squared_error: 1.2811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6936, f_measure: 0.696, kappa: 0.3996, kb_relative_information_score: 1562.5159, mean_absolute_error: 0.2887, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7358, predictive_accuracy: 0.7113, prior_entropy: 0.9948, recall: 0.7113, relative_absolute_error: 0.5816, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5373, root_relative_squared_error: 1.0785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5027, f_measure: 0.3876, kappa: 0.0059, kb_relative_information_score: 299.5523, mean_absolute_error: 0.4553, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6821, predictive_accuracy: 0.5447, prior_entropy: 0.9948, recall: 0.5447, relative_absolute_error: 0.9172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6748, root_relative_squared_error: 1.3544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5711, f_measure: 0.5255, kappa: 0.1515, kb_relative_information_score: 754.2192, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6912, predictive_accuracy: 0.6046, prior_entropy: 0.9948, recall: 0.6046, relative_absolute_error: 0.7964, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6288, root_relative_squared_error: 1.2621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, f_measure: 0.5855, kappa: 0.1641, kb_relative_information_score: 614.7881, mean_absolute_error: 0.4138, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5851, predictive_accuracy: 0.5862, prior_entropy: 0.9948, recall: 0.5862, relative_absolute_error: 0.8335, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6432, root_relative_squared_error: 1.2911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.7497, kappa: 0.4948, kb_relative_information_score: 1863.6065, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.751, predictive_accuracy: 0.751, prior_entropy: 0.9948, recall: 0.751, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7155, f_measure: 0.7208, kappa: 0.4397, kb_relative_information_score: 1683.7604, mean_absolute_error: 0.2727, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7347, predictive_accuracy: 0.7273, prior_entropy: 0.9948, recall: 0.7273, relative_absolute_error: 0.5494, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.0482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7443, f_measure: 0.7482, kappa: 0.4919, kb_relative_information_score: 1851.482, mean_absolute_error: 0.2506, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7492, predictive_accuracy: 0.7494, prior_entropy: 0.9948, recall: 0.7494, relative_absolute_error: 0.5048, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5006, root_relative_squared_error: 1.0048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6616, f_measure: 0.66, kappa: 0.3353, kb_relative_information_score: 1340.2343, mean_absolute_error: 0.318, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7107, predictive_accuracy: 0.682, prior_entropy: 0.9948, recall: 0.682, relative_absolute_error: 0.6407, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.564, root_relative_squared_error: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6922, f_measure: 0.6946, kappa: 0.3846, kb_relative_information_score: 1437.23, mean_absolute_error: 0.3053, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6945, predictive_accuracy: 0.6947, prior_entropy: 0.9948, recall: 0.6947, relative_absolute_error: 0.6149, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5525, root_relative_squared_error: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6873, f_measure: 0.6903, kappa: 0.3854, kb_relative_information_score: 1503.9144, mean_absolute_error: 0.2965, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7207, predictive_accuracy: 0.7035, prior_entropy: 0.9948, recall: 0.7035, relative_absolute_error: 0.5972, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5445, root_relative_squared_error: 1.0929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7544, f_measure: 0.7582, kappa: 0.512, kb_relative_information_score: 1926.2495, mean_absolute_error: 0.2407, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7592, predictive_accuracy: 0.7593, prior_entropy: 0.9948, recall: 0.7593, relative_absolute_error: 0.4849, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4906, root_relative_squared_error: 0.9848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7651, f_measure: 0.7654, kappa: 0.5285, kb_relative_information_score: 1970.7058, mean_absolute_error: 0.2349, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7663, predictive_accuracy: 0.7651, prior_entropy: 0.9948, recall: 0.7651, relative_absolute_error: 0.4731, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4846, root_relative_squared_error: 0.9727,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5195, f_measure: 0.5231, kappa: 0.0391, kb_relative_information_score: 137.893, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.523, predictive_accuracy: 0.5233, prior_entropy: 0.9948, recall: 0.5233, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6904, root_relative_squared_error: 1.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7457, f_measure: 0.7497, kappa: 0.4948, kb_relative_information_score: 1863.6065, mean_absolute_error: 0.249, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.751, predictive_accuracy: 0.751, prior_entropy: 0.9948, recall: 0.751, relative_absolute_error: 0.5016, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.499, root_relative_squared_error: 1.0016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.5248, kappa: 0.0426, kb_relative_information_score: 150.0175, mean_absolute_error: 0.4751, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5247, predictive_accuracy: 0.5249, prior_entropy: 0.9948, recall: 0.5249, relative_absolute_error: 0.957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6893, root_relative_squared_error: 1.3835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.555, f_measure: 0.4958, kappa: 0.1178, kb_relative_information_score: 649.1407, mean_absolute_error: 0.4092, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.692, predictive_accuracy: 0.5908, prior_entropy: 0.9948, recall: 0.5908, relative_absolute_error: 0.8243, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6397, root_relative_squared_error: 1.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6538, f_measure: 0.6563, kappa: 0.3077, kb_relative_information_score: 1146.2431, mean_absolute_error: 0.3436, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6563, predictive_accuracy: 0.6564, prior_entropy: 0.9948, recall: 0.6564, relative_absolute_error: 0.6922, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5862, root_relative_squared_error: 1.1766,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.7405, kappa: 0.4771, kb_relative_information_score: 1784.7975, mean_absolute_error: 0.2594, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7404, predictive_accuracy: 0.7406, prior_entropy: 0.9948, recall: 0.7406, relative_absolute_error: 0.5225, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5093, root_relative_squared_error: 1.0223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7008, f_measure: 0.704, kappa: 0.403, kb_relative_information_score: 1511.9974, mean_absolute_error: 0.2954, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7039, predictive_accuracy: 0.7046, prior_entropy: 0.9948, recall: 0.7046, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5435, root_relative_squared_error: 1.0909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6819, f_measure: 0.6844, kappa: 0.3748, kb_relative_information_score: 1467.5411, mean_absolute_error: 0.3013, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7171, predictive_accuracy: 0.6987, prior_entropy: 0.9948, recall: 0.6987, relative_absolute_error: 0.6068, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5489, root_relative_squared_error: 1.1017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7499, f_measure: 0.7532, kappa: 0.5021, kb_relative_information_score: 1885.8346, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7535, predictive_accuracy: 0.7539, prior_entropy: 0.9948, recall: 0.7539, relative_absolute_error: 0.4957, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4961, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5453, f_measure: 0.4773, kappa: 0.0972, kb_relative_information_score: 584.4769, mean_absolute_error: 0.4178, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6905, predictive_accuracy: 0.5822, prior_entropy: 0.9948, recall: 0.5822, relative_absolute_error: 0.8415, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6463, root_relative_squared_error: 1.2973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6904, f_measure: 0.6931, kappa: 0.3814, kb_relative_information_score: 1427.1262, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.693, predictive_accuracy: 0.6934, prior_entropy: 0.9948, recall: 0.6934, relative_absolute_error: 0.6176, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5537, root_relative_squared_error: 1.1114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.7494, kappa: 0.4943, kb_relative_information_score: 1861.5857, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7507, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0021,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.6283, kappa: 0.2513, kb_relative_information_score: 934.0653, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6283, predictive_accuracy: 0.6284, prior_entropy: 0.9948, recall: 0.6284, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6096, root_relative_squared_error: 1.2236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7326, f_measure: 0.735, kappa: 0.4659, kb_relative_information_score: 1744.3827, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7349, predictive_accuracy: 0.7353, prior_entropy: 0.9948, recall: 0.7353, relative_absolute_error: 0.5333, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5145, root_relative_squared_error: 1.0327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.7494, kappa: 0.4943, kb_relative_information_score: 1861.5857, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7507, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0021,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6846, f_measure: 0.6875, kappa: 0.3699, kb_relative_information_score: 1384.6907, mean_absolute_error: 0.3122, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6873, predictive_accuracy: 0.6878, prior_entropy: 0.9948, recall: 0.6878, relative_absolute_error: 0.6289, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5587, root_relative_squared_error: 1.1215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.4989, kappa: -0.0092, kb_relative_information_score: -48.0152, mean_absolute_error: 0.5012, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.499, predictive_accuracy: 0.4988, prior_entropy: 0.9948, recall: 0.4988, relative_absolute_error: 1.0096, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.708, root_relative_squared_error: 1.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7454, f_measure: 0.7494, kappa: 0.4943, kb_relative_information_score: 1861.5857, mean_absolute_error: 0.2493, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7507, predictive_accuracy: 0.7507, prior_entropy: 0.9948, recall: 0.7507, relative_absolute_error: 0.5021, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6331, f_measure: 0.6217, kappa: 0.2788, kb_relative_information_score: 1160.3883, mean_absolute_error: 0.3418, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7061, predictive_accuracy: 0.6582, prior_entropy: 0.9948, recall: 0.6582, relative_absolute_error: 0.6885, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5846, root_relative_squared_error: 1.1734,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7025, kappa: 0.3997, kb_relative_information_score: 1507.9559, mean_absolute_error: 0.2959, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7034, predictive_accuracy: 0.7041, prior_entropy: 0.9948, recall: 0.7041, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.544, root_relative_squared_error: 1.0919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5006, f_measure: 0.3825, kappa: 0.0013, kb_relative_information_score: 285.4072, mean_absolute_error: 0.4572, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7519, predictive_accuracy: 0.5428, prior_entropy: 0.9948, recall: 0.5428, relative_absolute_error: 0.921, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6762, root_relative_squared_error: 1.3572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6396, kappa: 0.274, kb_relative_information_score: 1018.9364, mean_absolute_error: 0.3604, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6396, predictive_accuracy: 0.6396, prior_entropy: 0.9948, recall: 0.6396, relative_absolute_error: 0.7261, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6004, root_relative_squared_error: 1.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5201, f_measure: 0.5237, kappa: 0.0403, kb_relative_information_score: 141.9345, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5236, predictive_accuracy: 0.5239, prior_entropy: 0.9948, recall: 0.5239, relative_absolute_error: 0.9591, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.69, root_relative_squared_error: 1.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7607, f_measure: 0.7651, kappa: 0.526, kb_relative_information_score: 1982.8302, mean_absolute_error: 0.2333, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7675, predictive_accuracy: 0.7667, prior_entropy: 0.9948, recall: 0.7667, relative_absolute_error: 0.4699, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.483, root_relative_squared_error: 0.9694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.3888, kappa: 0.0071, kb_relative_information_score: 303.5938, mean_absolute_error: 0.4548, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6916, predictive_accuracy: 0.5452, prior_entropy: 0.9948, recall: 0.5452, relative_absolute_error: 0.9162, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6744, root_relative_squared_error: 1.3536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7445, kappa: 0.4852, kb_relative_information_score: 1815.1087, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.503, f_measure: 0.3887, kappa: 0.0066, kb_relative_information_score: 301.5731, mean_absolute_error: 0.4551, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6668, predictive_accuracy: 0.5449, prior_entropy: 0.9948, recall: 0.5449, relative_absolute_error: 0.9167, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6746, root_relative_squared_error: 1.354,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, f_measure: 0.6825, kappa: 0.3603, kb_relative_information_score: 1344.2758, mean_absolute_error: 0.3175, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6824, predictive_accuracy: 0.6825, prior_entropy: 0.9948, recall: 0.6825, relative_absolute_error: 0.6396, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5635, root_relative_squared_error: 1.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7434, f_measure: 0.7457, kappa: 0.4874, kb_relative_information_score: 1825.2124, mean_absolute_error: 0.2541, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7456, predictive_accuracy: 0.7459, prior_entropy: 0.9948, recall: 0.7459, relative_absolute_error: 0.5118, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.504, root_relative_squared_error: 1.0117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7547, f_measure: 0.7571, kappa: 0.5104, kb_relative_information_score: 1912.1043, mean_absolute_error: 0.2426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7571, predictive_accuracy: 0.7574, prior_entropy: 0.9948, recall: 0.7574, relative_absolute_error: 0.4887, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4925, root_relative_squared_error: 0.9886,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6639, f_measure: 0.6674, kappa: 0.3359, kb_relative_information_score: 1311.944, mean_absolute_error: 0.3218, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6857, predictive_accuracy: 0.6782, prior_entropy: 0.9948, recall: 0.6782, relative_absolute_error: 0.6482, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5673, root_relative_squared_error: 1.1386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5358, f_measure: 0.4562, kappa: 0.0771, kb_relative_information_score: 523.8547, mean_absolute_error: 0.4258, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7068, predictive_accuracy: 0.5742, prior_entropy: 0.9948, recall: 0.5742, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6525, root_relative_squared_error: 1.3097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7408, f_measure: 0.7431, kappa: 0.4822, kb_relative_information_score: 1805.0049, mean_absolute_error: 0.2567, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.743, predictive_accuracy: 0.7433, prior_entropy: 0.9948, recall: 0.7433, relative_absolute_error: 0.5172, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5067, root_relative_squared_error: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.511, f_measure: 0.5145, kappa: 0.0219, kb_relative_information_score: 71.2085, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5145, predictive_accuracy: 0.5145, prior_entropy: 0.9948, recall: 0.5145, relative_absolute_error: 0.9779, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6968, root_relative_squared_error: 1.3985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.7353, kappa: 0.4663, kb_relative_information_score: 1746.4034, mean_absolute_error: 0.2645, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7352, predictive_accuracy: 0.7355, prior_entropy: 0.9948, recall: 0.7355, relative_absolute_error: 0.5327, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5143, root_relative_squared_error: 1.0322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7424, f_measure: 0.7445, kappa: 0.4852, kb_relative_information_score: 1815.1087, mean_absolute_error: 0.2554, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7444, predictive_accuracy: 0.7446, prior_entropy: 0.9948, recall: 0.7446, relative_absolute_error: 0.5145, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5054, root_relative_squared_error: 1.0144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.7312, kappa: 0.4577, kb_relative_information_score: 1718.1131, mean_absolute_error: 0.2682, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7312, predictive_accuracy: 0.7318, prior_entropy: 0.9948, recall: 0.7318, relative_absolute_error: 0.5402, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.0395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5254, f_measure: 0.529, kappa: 0.0508, kb_relative_information_score: 182.3493, mean_absolute_error: 0.4708, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5288, predictive_accuracy: 0.5292, prior_entropy: 0.9948, recall: 0.5292, relative_absolute_error: 0.9484, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6862, root_relative_squared_error: 1.3772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7164, kappa: 0.4281, kb_relative_information_score: 1604.9515, mean_absolute_error: 0.2831, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7163, predictive_accuracy: 0.7169, prior_entropy: 0.9948, recall: 0.7169, relative_absolute_error: 0.5703, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5321, root_relative_squared_error: 1.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5818, f_measure: 0.5429, kappa: 0.174, kb_relative_information_score: 826.9659, mean_absolute_error: 0.3858, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6977, predictive_accuracy: 0.6142, prior_entropy: 0.9948, recall: 0.6142, relative_absolute_error: 0.7771, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6211, root_relative_squared_error: 1.2467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5218, f_measure: 0.5253, kappa: 0.0436, kb_relative_information_score: 154.0589, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5252, predictive_accuracy: 0.5255, prior_entropy: 0.9948, recall: 0.5255, relative_absolute_error: 0.9559, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6889, root_relative_squared_error: 1.3827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5129, f_measure: 0.5165, kappa: 0.0259, kb_relative_information_score: 87.3745, mean_absolute_error: 0.4833, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5164, predictive_accuracy: 0.5167, prior_entropy: 0.9948, recall: 0.5167, relative_absolute_error: 0.9736, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6952, root_relative_squared_error: 1.3954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5172, f_measure: 0.5207, kappa: 0.0344, kb_relative_information_score: 117.6856, mean_absolute_error: 0.4793, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5207, predictive_accuracy: 0.5207, prior_entropy: 0.9948, recall: 0.5207, relative_absolute_error: 0.9656, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6923, root_relative_squared_error: 1.3897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6972, f_measure: 0.6991, kappa: 0.3941, kb_relative_information_score: 1469.5618, mean_absolute_error: 0.301, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6992, predictive_accuracy: 0.699, prior_entropy: 0.9948, recall: 0.699, relative_absolute_error: 0.6063, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5486, root_relative_squared_error: 1.1012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7812, f_measure: 0.7837, kappa: 0.5639, kb_relative_information_score: 2114.1784, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7838, predictive_accuracy: 0.7841, prior_entropy: 0.9948, recall: 0.7841, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6482, f_measure: 0.6507, kappa: 0.2964, kb_relative_information_score: 1103.8076, mean_absolute_error: 0.3492, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6507, predictive_accuracy: 0.6508, prior_entropy: 0.9948, recall: 0.6508, relative_absolute_error: 0.7035, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.591, root_relative_squared_error: 1.1862,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.7656, kappa: 0.527, kb_relative_information_score: 1978.7887, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7659, predictive_accuracy: 0.7662, prior_entropy: 0.9948, recall: 0.7662, relative_absolute_error: 0.471, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4835, root_relative_squared_error: 0.9705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5193, f_measure: 0.5228, kappa: 0.0385, kb_relative_information_score: 133.8515, mean_absolute_error: 0.4772, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5227, predictive_accuracy: 0.5228, prior_entropy: 0.9948, recall: 0.5228, relative_absolute_error: 0.9613, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6908, root_relative_squared_error: 1.3866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6324, f_measure: 0.6212, kappa: 0.2773, kb_relative_information_score: 1154.3261, mean_absolute_error: 0.3426, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.704, predictive_accuracy: 0.6574, prior_entropy: 0.9948, recall: 0.6574, relative_absolute_error: 0.6901, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5853, root_relative_squared_error: 1.1748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7656, f_measure: 0.766, kappa: 0.5295, kb_relative_information_score: 1974.7473, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7668, predictive_accuracy: 0.7657, prior_entropy: 0.9948, recall: 0.7657, relative_absolute_error: 0.472, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 281.3657, mean_absolute_error: 0.4577, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, predictive_accuracy: 0.5423, prior_entropy: 0.9948, recall: 0.5423, relative_absolute_error: 0.9221, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6766, root_relative_squared_error: 1.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7573, f_measure: 0.7605, kappa: 0.5168, kb_relative_information_score: 1940.3946, mean_absolute_error: 0.2389, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7608, predictive_accuracy: 0.7611, prior_entropy: 0.9948, recall: 0.7611, relative_absolute_error: 0.4812, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4887, root_relative_squared_error: 0.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7135, f_measure: 0.7162, kappa: 0.4279, kb_relative_information_score: 1602.9308, mean_absolute_error: 0.2834, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7161, predictive_accuracy: 0.7166, prior_entropy: 0.9948, recall: 0.7166, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5323, root_relative_squared_error: 1.0685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.774, kappa: 0.5441, kb_relative_information_score: 2043.4525, mean_absolute_error: 0.2253, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.7745, predictive_accuracy: 0.7747, prior_entropy: 0.9948, recall: 0.7747, relative_absolute_error: 0.4538, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.6847, kappa: 0.365, kb_relative_information_score: 1360.4418, mean_absolute_error: 0.3154, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6848, predictive_accuracy: 0.6846, prior_entropy: 0.9948, recall: 0.6846, relative_absolute_error: 0.6353, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5616, root_relative_squared_error: 1.1272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5829, f_measure: 0.5856, kappa: 0.1656, kb_relative_information_score: 608.7258, mean_absolute_error: 0.4146, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.5858, predictive_accuracy: 0.5854, prior_entropy: 0.9948, recall: 0.5854, relative_absolute_error: 0.8351, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.6439, root_relative_squared_error: 1.2923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6391, f_measure: 0.6417, kappa: 0.2782, kb_relative_information_score: 1035.1023, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4964, number_of_instances: 3751, precision: 0.6417, predictive_accuracy: 0.6417, prior_entropy: 0.9948, recall: 0.6417, relative_absolute_error: 0.7218, root_mean_prior_squared_error: 0.4982, root_mean_squared_error: 0.5986, root_relative_squared_error: 1.2015,

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