OpenML
Supervised Classification on hill-valley

Supervised Classification on hill-valley

Task 9970 Supervised Classification hill-valley 88527 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.4247, kappa: 0.0066, kb_relative_information_score: 8, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5073, predictive_accuracy: 0.5033, prior_entropy: 1, recall: 0.5033, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7048, root_relative_squared_error: 1.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4243, kappa: -0.0132, kb_relative_information_score: -16, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4873, predictive_accuracy: 0.4934, prior_entropy: 1, recall: 0.4934, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7118, root_relative_squared_error: 1.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4785, f_measure: 0.4785, kappa: -0.0429, kb_relative_information_score: -52, mean_absolute_error: 0.5215, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4785, predictive_accuracy: 0.4785, prior_entropy: 1, recall: 0.4785, relative_absolute_error: 1.0429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7221, root_relative_squared_error: 1.4442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.538, f_measure: 0.5181, kappa: 0.0759, kb_relative_information_score: 92, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5454, predictive_accuracy: 0.538, prior_entropy: 1, recall: 0.538, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6797, root_relative_squared_error: 1.3595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4818, f_measure: 0.4817, kappa: -0.0363, kb_relative_information_score: -44, mean_absolute_error: 0.5182, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4818, predictive_accuracy: 0.4818, prior_entropy: 1, recall: 0.4818, relative_absolute_error: 1.0363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7198, root_relative_squared_error: 1.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4283, kappa: -0.0099, kb_relative_information_score: -12, mean_absolute_error: 0.505, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4907, predictive_accuracy: 0.495, prior_entropy: 1, recall: 0.495, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7106, root_relative_squared_error: 1.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4686, f_measure: 0.4641, kappa: -0.0627, kb_relative_information_score: -76, mean_absolute_error: 0.5314, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4675, predictive_accuracy: 0.4686, prior_entropy: 1, recall: 0.4686, relative_absolute_error: 1.0627, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7289, root_relative_squared_error: 1.4579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.467, f_measure: 0.4653, kappa: -0.066, kb_relative_information_score: -80, mean_absolute_error: 0.533, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4666, predictive_accuracy: 0.467, prior_entropy: 1, recall: 0.467, relative_absolute_error: 1.066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7301, root_relative_squared_error: 1.4601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5528, f_measure: 0.4828, kappa: 0.1056, kb_relative_information_score: 128, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6152, predictive_accuracy: 0.5528, prior_entropy: 1, recall: 0.5528, relative_absolute_error: 0.8944, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6687, root_relative_squared_error: 1.3375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6015, f_measure: 0.5334, kappa: 0.203, kb_relative_information_score: 246, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7438, predictive_accuracy: 0.6015, prior_entropy: 1, recall: 0.6015, relative_absolute_error: 0.797, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6313, root_relative_squared_error: 1.2626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4703, f_measure: 0.4703, kappa: -0.0594, kb_relative_information_score: -72, mean_absolute_error: 0.5297, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4703, predictive_accuracy: 0.4703, prior_entropy: 1, recall: 0.4703, relative_absolute_error: 1.0594, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7278, root_relative_squared_error: 1.4556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.4288, kappa: -0.0066, kb_relative_information_score: -8, mean_absolute_error: 0.5033, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4937, predictive_accuracy: 0.4967, prior_entropy: 1, recall: 0.4967, relative_absolute_error: 1.0066, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7094, root_relative_squared_error: 1.4189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5413, f_measure: 0.4969, kappa: 0.0825, kb_relative_information_score: 100, mean_absolute_error: 0.4587, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5638, predictive_accuracy: 0.5413, prior_entropy: 1, recall: 0.5413, relative_absolute_error: 0.9175, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6773, root_relative_squared_error: 1.3546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5124, f_measure: 0.3865, kappa: 0.0248, kb_relative_information_score: 30, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.569, predictive_accuracy: 0.5124, prior_entropy: 1, recall: 0.5124, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6983, root_relative_squared_error: 1.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4637, f_measure: 0.456, kappa: -0.0726, kb_relative_information_score: -88, mean_absolute_error: 0.5363, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4615, predictive_accuracy: 0.4637, prior_entropy: 1, recall: 0.4637, relative_absolute_error: 1.0726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7323, root_relative_squared_error: 1.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.5288, kappa: 0.0578, kb_relative_information_score: 70, mean_absolute_error: 0.4711, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5289, predictive_accuracy: 0.5289, prior_entropy: 1, recall: 0.5289, relative_absolute_error: 0.9422, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6864, root_relative_squared_error: 1.3728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.481, f_measure: 0.4808, kappa: -0.038, kb_relative_information_score: -46, mean_absolute_error: 0.519, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.481, predictive_accuracy: 0.481, prior_entropy: 1, recall: 0.481, relative_absolute_error: 1.038, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7204, root_relative_squared_error: 1.4408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.384, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.618, f_measure: 0.5585, kappa: 0.236, kb_relative_information_score: 286, mean_absolute_error: 0.382, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7561, predictive_accuracy: 0.618, prior_entropy: 1, recall: 0.618, relative_absolute_error: 0.764, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6181, root_relative_squared_error: 1.2361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4785, f_measure: 0.4785, kappa: -0.0429, kb_relative_information_score: -52, mean_absolute_error: 0.5215, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4785, predictive_accuracy: 0.4785, prior_entropy: 1, recall: 0.4785, relative_absolute_error: 1.0429, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7221, root_relative_squared_error: 1.4442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.4511, kappa: -0.0677, kb_relative_information_score: -82, mean_absolute_error: 0.5338, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.462, predictive_accuracy: 0.4662, prior_entropy: 1, recall: 0.4662, relative_absolute_error: 1.0677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7306, root_relative_squared_error: 1.4613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, f_measure: 0.7026, kappa: 0.4439, kb_relative_information_score: 538, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7999, predictive_accuracy: 0.7219, prior_entropy: 1, recall: 0.7219, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.0546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5173, f_measure: 0.4799, kappa: 0.0347, kb_relative_information_score: 42, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5243, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6947, root_relative_squared_error: 1.3895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4645, f_measure: 0.4613, kappa: -0.071, kb_relative_information_score: -86, mean_absolute_error: 0.5355, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4637, predictive_accuracy: 0.4645, prior_entropy: 1, recall: 0.4645, relative_absolute_error: 1.071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7318, root_relative_squared_error: 1.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.513, kappa: 0.0429, kb_relative_information_score: 52, mean_absolute_error: 0.4785, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5231, predictive_accuracy: 0.5215, prior_entropy: 1, recall: 0.5215, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6918, root_relative_squared_error: 1.3835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4645, f_measure: 0.4454, kappa: -0.071, kb_relative_information_score: -86, mean_absolute_error: 0.5355, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4588, predictive_accuracy: 0.4645, prior_entropy: 1, recall: 0.4645, relative_absolute_error: 1.071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7318, root_relative_squared_error: 1.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5074, f_measure: 0.4391, kappa: 0.0149, kb_relative_information_score: 18, mean_absolute_error: 0.4926, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5145, predictive_accuracy: 0.5074, prior_entropy: 1, recall: 0.5074, relative_absolute_error: 0.9851, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7018, root_relative_squared_error: 1.4037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.4553, kappa: -0.0149, kb_relative_information_score: -18, mean_absolute_error: 0.5074, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4898, predictive_accuracy: 0.4926, prior_entropy: 1, recall: 0.4926, relative_absolute_error: 1.0149, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7123, root_relative_squared_error: 1.4247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.5903, kappa: 0.2525, kb_relative_information_score: 306, mean_absolute_error: 0.3738, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6945, predictive_accuracy: 0.6262, prior_entropy: 1, recall: 0.6262, relative_absolute_error: 0.7475, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6114, root_relative_squared_error: 1.2227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.4901, kappa: -0.0099, kb_relative_information_score: -12, mean_absolute_error: 0.505, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4948, predictive_accuracy: 0.495, prior_entropy: 1, recall: 0.495, relative_absolute_error: 1.0099, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7106, root_relative_squared_error: 1.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4905, kappa: -0.0116, kb_relative_information_score: -14, mean_absolute_error: 0.5058, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4941, predictive_accuracy: 0.4942, prior_entropy: 1, recall: 0.4942, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7112, root_relative_squared_error: 1.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6551, f_measure: 0.6134, kappa: 0.3102, kb_relative_information_score: 376, mean_absolute_error: 0.3449, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7728, predictive_accuracy: 0.6551, prior_entropy: 1, recall: 0.6551, relative_absolute_error: 0.6898, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5873, root_relative_squared_error: 1.1745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4975, f_measure: 0.4941, kappa: -0.005, kb_relative_information_score: -6, mean_absolute_error: 0.5025, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4975, prior_entropy: 1, recall: 0.4975, relative_absolute_error: 1.005, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7089, root_relative_squared_error: 1.4177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.481, f_measure: 0.4809, kappa: -0.038, kb_relative_information_score: -46, mean_absolute_error: 0.519, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.481, predictive_accuracy: 0.481, prior_entropy: 1, recall: 0.481, relative_absolute_error: 1.038, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7204, root_relative_squared_error: 1.4408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5132, f_measure: 0.4337, kappa: 0.0264, kb_relative_information_score: 32, mean_absolute_error: 0.4868, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5301, predictive_accuracy: 0.5132, prior_entropy: 1, recall: 0.5132, relative_absolute_error: 0.9736, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6977, root_relative_squared_error: 1.3954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.453, f_measure: 0.4293, kappa: -0.0941, kb_relative_information_score: -114, mean_absolute_error: 0.547, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4436, predictive_accuracy: 0.453, prior_entropy: 1, recall: 0.453, relative_absolute_error: 1.0941, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7396, root_relative_squared_error: 1.4792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6048, f_measure: 0.5366, kappa: 0.2096, kb_relative_information_score: 254, mean_absolute_error: 0.3952, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7548, predictive_accuracy: 0.6048, prior_entropy: 1, recall: 0.6048, relative_absolute_error: 0.7904, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6287, root_relative_squared_error: 1.2573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.4904, kappa: -0.0116, kb_relative_information_score: -14, mean_absolute_error: 0.5058, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.494, predictive_accuracy: 0.4942, prior_entropy: 1, recall: 0.4942, relative_absolute_error: 1.0116, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7112, root_relative_squared_error: 1.4224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5281, f_measure: 0.4629, kappa: 0.0561, kb_relative_information_score: 68, mean_absolute_error: 0.4719, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5545, predictive_accuracy: 0.5281, prior_entropy: 1, recall: 0.5281, relative_absolute_error: 0.9439, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.687, root_relative_squared_error: 1.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5157, f_measure: 0.4362, kappa: 0.0314, kb_relative_information_score: 38, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5359, predictive_accuracy: 0.5157, prior_entropy: 1, recall: 0.5157, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6959, root_relative_squared_error: 1.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7071, f_measure: 0.6841, kappa: 0.4142, kb_relative_information_score: 502, mean_absolute_error: 0.2929, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7922, predictive_accuracy: 0.7071, prior_entropy: 1, recall: 0.7071, relative_absolute_error: 0.5858, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5412, root_relative_squared_error: 1.0824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6774, f_measure: 0.6553, kappa: 0.3548, kb_relative_information_score: 430, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7386, predictive_accuracy: 0.6774, prior_entropy: 1, recall: 0.6774, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.568, root_relative_squared_error: 1.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, f_measure: 0.6006, kappa: 0.2921, kb_relative_information_score: 354, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7682, predictive_accuracy: 0.646, prior_entropy: 1, recall: 0.646, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5949, root_relative_squared_error: 1.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, f_measure: 0.4411, kappa: 0.0165, kb_relative_information_score: 20, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5159, predictive_accuracy: 0.5083, prior_entropy: 1, recall: 0.5083, relative_absolute_error: 0.9835, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7012, root_relative_squared_error: 1.4025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.389, kappa: 0.0215, kb_relative_information_score: 26, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5528, predictive_accuracy: 0.5107, prior_entropy: 1, recall: 0.5107, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6995, root_relative_squared_error: 1.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5008, f_measure: 0.4585, kappa: 0.0017, kb_relative_information_score: 2, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5012, predictive_accuracy: 0.5008, prior_entropy: 1, recall: 0.5008, relative_absolute_error: 0.9983, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7065, root_relative_squared_error: 1.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.622, kappa: 0.3119, kb_relative_information_score: 378, mean_absolute_error: 0.3441, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7432, predictive_accuracy: 0.6559, prior_entropy: 1, recall: 0.6559, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5866, root_relative_squared_error: 1.1731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4777, f_measure: 0.4776, kappa: -0.0446, kb_relative_information_score: -54, mean_absolute_error: 0.5223, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4777, predictive_accuracy: 0.4777, prior_entropy: 1, recall: 0.4777, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7227, root_relative_squared_error: 1.4454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6469, f_measure: 0.6042, kappa: 0.2937, kb_relative_information_score: 356, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7583, predictive_accuracy: 0.6469, prior_entropy: 1, recall: 0.6469, relative_absolute_error: 0.7063, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5943, root_relative_squared_error: 1.1885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.462, f_measure: 0.4619, kappa: -0.0759, kb_relative_information_score: -92, mean_absolute_error: 0.538, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.462, predictive_accuracy: 0.462, prior_entropy: 1, recall: 0.462, relative_absolute_error: 1.0759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7335, root_relative_squared_error: 1.4669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.4527, kappa: -0.0033, kb_relative_information_score: -4, mean_absolute_error: 0.5017, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4975, predictive_accuracy: 0.4983, prior_entropy: 1, recall: 0.4983, relative_absolute_error: 1.0033, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7083, root_relative_squared_error: 1.4165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5924, f_measure: 0.5173, kappa: 0.1848, kb_relative_information_score: 224, mean_absolute_error: 0.4076, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7446, predictive_accuracy: 0.5924, prior_entropy: 1, recall: 0.5924, relative_absolute_error: 0.8152, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6384, root_relative_squared_error: 1.2769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5974, f_measure: 0.5254, kappa: 0.1947, kb_relative_information_score: 236, mean_absolute_error: 0.4026, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7475, predictive_accuracy: 0.5974, prior_entropy: 1, recall: 0.5974, relative_absolute_error: 0.8053, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6345, root_relative_squared_error: 1.2691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.6431, kappa: 0.3003, kb_relative_information_score: 364, mean_absolute_error: 0.3498, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.663, predictive_accuracy: 0.6502, prior_entropy: 1, recall: 0.6502, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5915, root_relative_squared_error: 1.1829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5173, f_measure: 0.5123, kappa: 0.0347, kb_relative_information_score: 42, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5181, predictive_accuracy: 0.5173, prior_entropy: 1, recall: 0.5173, relative_absolute_error: 0.9653, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6947, root_relative_squared_error: 1.3895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6856, f_measure: 0.66, kappa: 0.3713, kb_relative_information_score: 450, mean_absolute_error: 0.3144, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7659, predictive_accuracy: 0.6856, prior_entropy: 1, recall: 0.6856, relative_absolute_error: 0.6287, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5607, root_relative_squared_error: 1.1213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6427, f_measure: 0.6067, kappa: 0.2855, kb_relative_information_score: 346, mean_absolute_error: 0.3573, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7254, predictive_accuracy: 0.6427, prior_entropy: 1, recall: 0.6427, relative_absolute_error: 0.7145, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5977, root_relative_squared_error: 1.1954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5586, f_measure: 0.4736, kappa: 0.1172, kb_relative_information_score: 142, mean_absolute_error: 0.4414, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6654, predictive_accuracy: 0.5586, prior_entropy: 1, recall: 0.5586, relative_absolute_error: 0.8828, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6644, root_relative_squared_error: 1.3288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4744, f_measure: 0.4743, kappa: -0.0512, kb_relative_information_score: -62, mean_absolute_error: 0.5256, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4744, predictive_accuracy: 0.4744, prior_entropy: 1, recall: 0.4744, relative_absolute_error: 1.0512, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.725, root_relative_squared_error: 1.4499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4662, f_measure: 0.466, kappa: -0.0677, kb_relative_information_score: -82, mean_absolute_error: 0.5338, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4661, predictive_accuracy: 0.4662, prior_entropy: 1, recall: 0.4662, relative_absolute_error: 1.0677, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7306, root_relative_squared_error: 1.4613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4818, f_measure: 0.4335, kappa: -0.0363, kb_relative_information_score: -44, mean_absolute_error: 0.5182, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4724, predictive_accuracy: 0.4818, prior_entropy: 1, recall: 0.4818, relative_absolute_error: 1.0363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7198, root_relative_squared_error: 1.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4761, f_measure: 0.4738, kappa: -0.0479, kb_relative_information_score: -58, mean_absolute_error: 0.5239, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4757, predictive_accuracy: 0.4761, prior_entropy: 1, recall: 0.4761, relative_absolute_error: 1.0479, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7238, root_relative_squared_error: 1.4477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6328, f_measure: 0.6005, kappa: 0.2657, kb_relative_information_score: 322, mean_absolute_error: 0.3672, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6965, predictive_accuracy: 0.6328, prior_entropy: 1, recall: 0.6328, relative_absolute_error: 0.7343, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6059, root_relative_squared_error: 1.2119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5033, f_measure: 0.4546, kappa: 0.0066, kb_relative_information_score: 8, mean_absolute_error: 0.4967, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5051, predictive_accuracy: 0.5033, prior_entropy: 1, recall: 0.5033, relative_absolute_error: 0.9934, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7048, root_relative_squared_error: 1.4095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4728, f_measure: 0.4728, kappa: -0.0545, kb_relative_information_score: -66, mean_absolute_error: 0.5272, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4728, predictive_accuracy: 0.4728, prior_entropy: 1, recall: 0.4728, relative_absolute_error: 1.0545, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7261, root_relative_squared_error: 1.4522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4818, f_measure: 0.4818, kappa: -0.0363, kb_relative_information_score: -44, mean_absolute_error: 0.5182, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4818, predictive_accuracy: 0.4818, prior_entropy: 1, recall: 0.4818, relative_absolute_error: 1.0363, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7198, root_relative_squared_error: 1.4397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.3988, kappa: 0.0182, kb_relative_information_score: 22, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5341, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7007, root_relative_squared_error: 1.4013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.4934, kappa: -0.0132, kb_relative_information_score: -16, mean_absolute_error: 0.5066, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4934, predictive_accuracy: 0.4934, prior_entropy: 1, recall: 0.4934, relative_absolute_error: 1.0132, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7118, root_relative_squared_error: 1.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.4348, kappa: -0.0017, kb_relative_information_score: -2, mean_absolute_error: 0.5008, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4985, predictive_accuracy: 0.4992, prior_entropy: 1, recall: 0.4992, relative_absolute_error: 1.0017, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7077, root_relative_squared_error: 1.4154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5701, f_measure: 0.5402, kappa: 0.1403, kb_relative_information_score: 170, mean_absolute_error: 0.4299, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5948, predictive_accuracy: 0.5701, prior_entropy: 1, recall: 0.5701, relative_absolute_error: 0.8597, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6556, root_relative_squared_error: 1.3113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.4802, kappa: -0.0396, kb_relative_information_score: -48, mean_absolute_error: 0.5198, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4802, predictive_accuracy: 0.4802, prior_entropy: 1, recall: 0.4802, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.721, root_relative_squared_error: 1.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, f_measure: 0.7091, kappa: 0.4439, kb_relative_information_score: 538, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7697, predictive_accuracy: 0.7219, prior_entropy: 1, recall: 0.7219, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.0546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, f_measure: 0.4503, kappa: 0.0495, kb_relative_information_score: 60, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.554, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6894, root_relative_squared_error: 1.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.646, f_measure: 0.6006, kappa: 0.2921, kb_relative_information_score: 354, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7682, predictive_accuracy: 0.646, prior_entropy: 1, recall: 0.646, relative_absolute_error: 0.7079, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5949, root_relative_squared_error: 1.1899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5025, f_measure: 0.5021, kappa: 0.005, kb_relative_information_score: 6, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5025, predictive_accuracy: 0.5025, prior_entropy: 1, recall: 0.5025, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7054, root_relative_squared_error: 1.4107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, f_measure: 0.5631, kappa: 0.1749, kb_relative_information_score: 212, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6125, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5157, f_measure: 0.4338, kappa: 0.0314, kb_relative_information_score: 38, mean_absolute_error: 0.4843, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5372, predictive_accuracy: 0.5157, prior_entropy: 1, recall: 0.5157, relative_absolute_error: 0.9686, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6959, root_relative_squared_error: 1.3919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5875, f_measure: 0.5107, kappa: 0.1749, kb_relative_information_score: 212, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7347, predictive_accuracy: 0.5875, prior_entropy: 1, recall: 0.5875, relative_absolute_error: 0.8251, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6423, root_relative_squared_error: 1.2846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, f_measure: 0.5226, kappa: 0.0545, kb_relative_information_score: 66, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5283, predictive_accuracy: 0.5272, prior_entropy: 1, recall: 0.5272, relative_absolute_error: 0.9455, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6876, root_relative_squared_error: 1.3752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5231, f_measure: 0.4608, kappa: 0.0462, kb_relative_information_score: 56, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.543, predictive_accuracy: 0.5231, prior_entropy: 1, recall: 0.5231, relative_absolute_error: 0.9538, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6906, root_relative_squared_error: 1.3812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4645, f_measure: 0.4644, kappa: -0.071, kb_relative_information_score: -86, mean_absolute_error: 0.5355, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4645, predictive_accuracy: 0.4645, prior_entropy: 1, recall: 0.4645, relative_absolute_error: 1.071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7318, root_relative_squared_error: 1.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6988, f_measure: 0.6767, kappa: 0.3977, kb_relative_information_score: 482, mean_absolute_error: 0.3012, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7738, predictive_accuracy: 0.6988, prior_entropy: 1, recall: 0.6988, relative_absolute_error: 0.6023, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5488, root_relative_squared_error: 1.0976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4645, f_measure: 0.4644, kappa: -0.071, kb_relative_information_score: -86, mean_absolute_error: 0.5355, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4645, predictive_accuracy: 0.4645, prior_entropy: 1, recall: 0.4645, relative_absolute_error: 1.071, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7318, root_relative_squared_error: 1.4635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4893, f_measure: 0.4562, kappa: -0.0215, kb_relative_information_score: -26, mean_absolute_error: 0.5107, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4858, predictive_accuracy: 0.4893, prior_entropy: 1, recall: 0.4893, relative_absolute_error: 1.0215, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7147, root_relative_squared_error: 1.4293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.679, f_measure: 0.6555, kappa: 0.3581, kb_relative_information_score: 434, mean_absolute_error: 0.321, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7465, predictive_accuracy: 0.679, prior_entropy: 1, recall: 0.679, relative_absolute_error: 0.6419, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5665, root_relative_squared_error: 1.1331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.613, f_measure: 0.5534, kappa: 0.2261, kb_relative_information_score: 274, mean_absolute_error: 0.387, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7428, predictive_accuracy: 0.613, prior_entropy: 1, recall: 0.613, relative_absolute_error: 0.7739, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6221, root_relative_squared_error: 1.2441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6609, f_measure: 0.6317, kappa: 0.3218, kb_relative_information_score: 390, mean_absolute_error: 0.3391, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7354, predictive_accuracy: 0.6609, prior_entropy: 1, recall: 0.6609, relative_absolute_error: 0.6782, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5823, root_relative_squared_error: 1.1647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4802, f_measure: 0.4802, kappa: -0.0396, kb_relative_information_score: -48, mean_absolute_error: 0.5198, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4802, predictive_accuracy: 0.4802, prior_entropy: 1, recall: 0.4802, relative_absolute_error: 1.0396, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.721, root_relative_squared_error: 1.4419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5066, f_measure: 0.4356, kappa: 0.0132, kb_relative_information_score: 16, mean_absolute_error: 0.4934, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5133, predictive_accuracy: 0.5066, prior_entropy: 1, recall: 0.5066, relative_absolute_error: 0.9868, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7024, root_relative_squared_error: 1.4048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, f_measure: 0.5011, kappa: 0.0495, kb_relative_information_score: 60, mean_absolute_error: 0.4752, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5306, predictive_accuracy: 0.5248, prior_entropy: 1, recall: 0.5248, relative_absolute_error: 0.9505, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6894, root_relative_squared_error: 1.3788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.4968, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7071, root_relative_squared_error: 1.4142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6939, f_measure: 0.6749, kappa: 0.3878, kb_relative_information_score: 470, mean_absolute_error: 0.3061, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7531, predictive_accuracy: 0.6939, prior_entropy: 1, recall: 0.6939, relative_absolute_error: 0.6122, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5533, root_relative_squared_error: 1.1065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7219, f_measure: 0.7086, kappa: 0.4439, kb_relative_information_score: 538, mean_absolute_error: 0.2781, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7715, predictive_accuracy: 0.7219, prior_entropy: 1, recall: 0.7219, relative_absolute_error: 0.5561, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5273, root_relative_squared_error: 1.0546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5091, f_measure: 0.446, kappa: 0.0182, kb_relative_information_score: 22, mean_absolute_error: 0.4909, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5167, predictive_accuracy: 0.5091, prior_entropy: 1, recall: 0.5091, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7007, root_relative_squared_error: 1.4013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.712, f_measure: 0.6971, kappa: 0.4241, kb_relative_information_score: 514, mean_absolute_error: 0.288, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7641, predictive_accuracy: 0.712, prior_entropy: 1, recall: 0.712, relative_absolute_error: 0.5759, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5366, root_relative_squared_error: 1.0732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5124, f_measure: 0.4887, kappa: 0.0248, kb_relative_information_score: 30, mean_absolute_error: 0.4876, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5152, predictive_accuracy: 0.5124, prior_entropy: 1, recall: 0.5124, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6983, root_relative_squared_error: 1.3966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5487, f_measure: 0.5223, kappa: 0.0974, kb_relative_information_score: 118, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.5625, predictive_accuracy: 0.5487, prior_entropy: 1, recall: 0.5487, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6718, root_relative_squared_error: 1.3436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7153, f_measure: 0.6942, kappa: 0.4307, kb_relative_information_score: 522, mean_absolute_error: 0.2847, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.7979, predictive_accuracy: 0.7153, prior_entropy: 1, recall: 0.7153, relative_absolute_error: 0.5693, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5335, root_relative_squared_error: 1.0671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6337, f_measure: 0.6111, kappa: 0.2673, kb_relative_information_score: 324, mean_absolute_error: 0.3663, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.6741, predictive_accuracy: 0.6337, prior_entropy: 1, recall: 0.6337, relative_absolute_error: 0.7327, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.6053, root_relative_squared_error: 1.2105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4637, f_measure: 0.4636, kappa: -0.0726, kb_relative_information_score: -88, mean_absolute_error: 0.5363, mean_prior_absolute_error: 0.5, number_of_instances: 1212, precision: 0.4637, predictive_accuracy: 0.4637, prior_entropy: 1, recall: 0.4637, relative_absolute_error: 1.0726, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.7323, root_relative_squared_error: 1.4647,

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