OpenML
Supervised Classification on profb

Supervised Classification on profb

Task 3561 Supervised Classification profb 13173 runs submitted
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  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 under100k under1m
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13173 Runs

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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.5297, kappa: -0.0148, kb_relative_information_score: -10.9122, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4428, predictive_accuracy: 0.6592, prior_entropy: 0.9188, recall: 0.6592, relative_absolute_error: 1.0039, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4732, root_relative_squared_error: 1.0039,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4469, kb_relative_information_score: -6.7985, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0058, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4744, root_relative_squared_error: 1.0064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6715, f_measure: 0.6111, kappa: 0.1143, kb_relative_information_score: 54.2359, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.645, predictive_accuracy: 0.6771, prior_entropy: 0.9188, recall: 0.6771, relative_absolute_error: 0.9143, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.6305, kappa: 0.1514, kb_relative_information_score: 67.1914, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6552, predictive_accuracy: 0.683, prior_entropy: 0.9188, recall: 0.683, relative_absolute_error: 0.8993, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4538, root_relative_squared_error: 0.9628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5689, f_measure: 0.5312, kappa: -0.0089, kb_relative_information_score: 2.5124, mean_absolute_error: 0.4398, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4434, predictive_accuracy: 0.6622, prior_entropy: 0.9188, recall: 0.6622, relative_absolute_error: 0.9892, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6868, f_measure: 0.5987, kappa: 0.1013, kb_relative_information_score: 31.6752, mean_absolute_error: 0.4248, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6708, predictive_accuracy: 0.683, prior_entropy: 0.9188, recall: 0.683, relative_absolute_error: 0.9554, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4532, root_relative_squared_error: 0.9614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7065, f_measure: 0.6892, kappa: 0.2847, kb_relative_information_score: -84.1907, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6868, predictive_accuracy: 0.7009, prior_entropy: 0.9188, recall: 0.7009, relative_absolute_error: 1.0684, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6839, f_measure: 0.5767, kappa: 0.0598, kb_relative_information_score: 37.2037, mean_absolute_error: 0.4224, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6406, predictive_accuracy: 0.6726, prior_entropy: 0.9188, recall: 0.6726, relative_absolute_error: 0.9499, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4555, root_relative_squared_error: 0.9663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6544, f_measure: 0.6276, kappa: 0.1412, kb_relative_information_score: 56.9077, mean_absolute_error: 0.4014, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6408, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 0.9027, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6238, f_measure: 0.6312, kappa: 0.1544, kb_relative_information_score: -70.4139, mean_absolute_error: 0.4691, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6256, predictive_accuracy: 0.6414, prior_entropy: 0.9188, recall: 0.6414, relative_absolute_error: 1.055, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4773, root_relative_squared_error: 1.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6457, f_measure: 0.6155, kappa: 0.1215, kb_relative_information_score: -133.0751, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6446, predictive_accuracy: 0.6771, prior_entropy: 0.9188, recall: 0.6771, relative_absolute_error: 1.1151, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6221, f_measure: 0.6329, kappa: 0.1663, kb_relative_information_score: 65.8552, mean_absolute_error: 0.3861, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6297, predictive_accuracy: 0.6369, prior_entropy: 0.9188, recall: 0.6369, relative_absolute_error: 0.8683, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5158, root_relative_squared_error: 1.0942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6802, f_measure: 0.6819, kappa: 0.2654, kb_relative_information_score: -83.485, mean_absolute_error: 0.4744, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6809, predictive_accuracy: 0.6979, prior_entropy: 0.9188, recall: 0.6979, relative_absolute_error: 1.0669, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7205, f_measure: 0.6978, kappa: 0.314, kb_relative_information_score: -139.1303, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6956, predictive_accuracy: 0.7009, prior_entropy: 0.9188, recall: 0.7009, relative_absolute_error: 1.1215, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, f_measure: 0.6612, kappa: 0.2227, kb_relative_information_score: 126.6077, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6569, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 0.7815, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5296, root_relative_squared_error: 1.1234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.639, f_measure: 0.6353, kappa: 0.1556, kb_relative_information_score: -106.9334, mean_absolute_error: 0.4846, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6325, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 1.0899, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.487, root_relative_squared_error: 1.0331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7049, f_measure: 0.6938, kappa: 0.2926, kb_relative_information_score: -120.306, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6943, predictive_accuracy: 0.7098, prior_entropy: 0.9188, recall: 0.7098, relative_absolute_error: 1.102, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4904, root_relative_squared_error: 1.0402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6755, f_measure: 0.6029, kappa: 0.0988, kb_relative_information_score: 47.1674, mean_absolute_error: 0.4116, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6387, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 0.9258, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.454, root_relative_squared_error: 0.9631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6898, f_measure: 0.6741, kappa: 0.2586, kb_relative_information_score: -40.7905, mean_absolute_error: 0.457, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6711, predictive_accuracy: 0.6786, prior_entropy: 0.9188, recall: 0.6786, relative_absolute_error: 1.0278, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7666, f_measure: 0.7187, kappa: 0.3485, kb_relative_information_score: 131.5918, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7389, predictive_accuracy: 0.744, prior_entropy: 0.9188, recall: 0.744, relative_absolute_error: 0.8123, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4228, root_relative_squared_error: 0.8968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6942, f_measure: 0.6776, kappa: 0.2537, kb_relative_information_score: -83.7639, mean_absolute_error: 0.4745, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6803, predictive_accuracy: 0.6994, prior_entropy: 0.9188, recall: 0.6994, relative_absolute_error: 1.0671, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4772, root_relative_squared_error: 1.0124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.6671, kappa: 0.2414, kb_relative_information_score: 129.2558, mean_absolute_error: 0.3445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6637, predictive_accuracy: 0.6726, prior_entropy: 0.9188, recall: 0.6726, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5359, root_relative_squared_error: 1.1369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4846, kb_relative_information_score: -2.0071, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0014, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5811, f_measure: 0.5244, kappa: -0.0543, kb_relative_information_score: -11.477, mean_absolute_error: 0.4454, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4736, predictive_accuracy: 0.6339, prior_entropy: 0.9188, recall: 0.6339, relative_absolute_error: 1.0018, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6792, f_measure: 0.6353, kappa: 0.1616, kb_relative_information_score: 65.9582, mean_absolute_error: 0.3996, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6602, predictive_accuracy: 0.686, prior_entropy: 0.9188, recall: 0.686, relative_absolute_error: 0.8988, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6365, f_measure: 0.6628, kappa: 0.2282, kb_relative_information_score: -66.3148, mean_absolute_error: 0.467, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6587, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 1.0504, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5908, f_measure: 0.6329, kappa: 0.1603, kb_relative_information_score: 93.1786, mean_absolute_error: 0.3658, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6279, predictive_accuracy: 0.6414, prior_entropy: 0.9188, recall: 0.6414, relative_absolute_error: 0.8227, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5843, root_relative_squared_error: 1.2394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7125, f_measure: 0.6969, kappa: 0.3005, kb_relative_information_score: -133.145, mean_absolute_error: 0.4958, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6966, predictive_accuracy: 0.7113, prior_entropy: 0.9188, recall: 0.7113, relative_absolute_error: 1.1152, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4959, root_relative_squared_error: 1.0519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.6569, kappa: 0.2131, kb_relative_information_score: 123.5937, mean_absolute_error: 0.3479, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6524, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.7826, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5222, root_relative_squared_error: 1.1077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6448, f_measure: 0.6449, kappa: 0.1778, kb_relative_information_score: -84.278, mean_absolute_error: 0.4756, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6435, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 1.0696, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4804, root_relative_squared_error: 1.0192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6466, f_measure: 0.5891, kappa: 0.0753, kb_relative_information_score: -76.0349, mean_absolute_error: 0.4721, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6318, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 1.0618, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6341, f_measure: 0.6275, kappa: 0.1454, kb_relative_information_score: 76.0188, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6217, predictive_accuracy: 0.6384, prior_entropy: 0.9188, recall: 0.6384, relative_absolute_error: 0.8546, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5086, root_relative_squared_error: 1.079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6202, f_measure: 0.5996, kappa: 0.1682, kb_relative_information_score: -136.9581, mean_absolute_error: 0.4976, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6382, predictive_accuracy: 0.5878, prior_entropy: 0.9188, recall: 0.5878, relative_absolute_error: 1.1192, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4977, root_relative_squared_error: 1.0559,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7051, f_measure: 0.6868, kappa: 0.2937, kb_relative_information_score: -139.0924, mean_absolute_error: 0.4986, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6861, predictive_accuracy: 0.6875, prior_entropy: 0.9188, recall: 0.6875, relative_absolute_error: 1.1214, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4986, root_relative_squared_error: 1.0578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6947, f_measure: 0.6881, kappa: 0.2806, kb_relative_information_score: -96.8724, mean_absolute_error: 0.4799, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6868, predictive_accuracy: 0.7024, prior_entropy: 0.9188, recall: 0.7024, relative_absolute_error: 1.0795, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4817, root_relative_squared_error: 1.0219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6225, f_measure: 0.5504, kappa: 0.0235, kb_relative_information_score: -81.2397, mean_absolute_error: 0.4738, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6471, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 1.0656, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.478, root_relative_squared_error: 1.0139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6483, f_measure: 0.6255, kappa: 0.1327, kb_relative_information_score: -61.5943, mean_absolute_error: 0.4659, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6235, predictive_accuracy: 0.6563, prior_entropy: 0.9188, recall: 0.6563, relative_absolute_error: 1.0479, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4744, root_relative_squared_error: 1.0063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6498, f_measure: 0.6582, kappa: 0.2235, kb_relative_information_score: -115.4165, mean_absolute_error: 0.4881, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6553, predictive_accuracy: 0.6622, prior_entropy: 0.9188, recall: 0.6622, relative_absolute_error: 1.0977, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4893, root_relative_squared_error: 1.0379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6688, f_measure: 0.594, kappa: 0.0798, kb_relative_information_score: 50.6165, mean_absolute_error: 0.4087, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6246, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.9191, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, f_measure: 0.6237, kappa: 0.1409, kb_relative_information_score: 84.6464, mean_absolute_error: 0.3704, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6189, predictive_accuracy: 0.631, prior_entropy: 0.9188, recall: 0.631, relative_absolute_error: 0.8331, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5746, root_relative_squared_error: 1.2189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6256, f_measure: 0.5666, kappa: 0.031, kb_relative_information_score: -120.1824, mean_absolute_error: 0.49, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5924, predictive_accuracy: 0.6592, prior_entropy: 0.9188, recall: 0.6592, relative_absolute_error: 1.1021, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4906, root_relative_squared_error: 1.0408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7099, f_measure: 0.6818, kappa: 0.2646, kb_relative_information_score: -85.8107, mean_absolute_error: 0.4754, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6818, predictive_accuracy: 0.6994, prior_entropy: 0.9188, recall: 0.6994, relative_absolute_error: 1.0694, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.63, f_measure: 0.6446, kappa: 0.1948, kb_relative_information_score: 99.126, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6423, predictive_accuracy: 0.6473, prior_entropy: 0.9188, recall: 0.6473, relative_absolute_error: 0.8138, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5593, root_relative_squared_error: 1.1865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6746, f_measure: 0.6836, kappa: 0.2808, kb_relative_information_score: -107.0626, mean_absolute_error: 0.4845, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.681, predictive_accuracy: 0.6875, prior_entropy: 0.9188, recall: 0.6875, relative_absolute_error: 1.0898, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.486, root_relative_squared_error: 1.0311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.6383, kappa: 0.1716, kb_relative_information_score: 66.9961, mean_absolute_error: 0.4029, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6754, predictive_accuracy: 0.6935, prior_entropy: 0.9188, recall: 0.6935, relative_absolute_error: 0.9062, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6636, f_measure: 0.6556, kappa: 0.2105, kb_relative_information_score: -51.6484, mean_absolute_error: 0.4619, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6511, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 1.0388, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4701, kb_relative_information_score: -3.5793, mean_absolute_error: 0.4458, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0028, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4719, root_relative_squared_error: 1.0011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4763, kb_relative_information_score: -2.7992, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4715, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6721, f_measure: 0.5893, kappa: 0.0851, kb_relative_information_score: 35.9631, mean_absolute_error: 0.4225, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.667, predictive_accuracy: 0.6801, prior_entropy: 0.9188, recall: 0.6801, relative_absolute_error: 0.9504, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4875, kb_relative_information_score: -2.0317, mean_absolute_error: 0.4453, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0015, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6625, f_measure: 0.6778, kappa: 0.2606, kb_relative_information_score: -104.8177, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6742, predictive_accuracy: 0.6875, prior_entropy: 0.9188, recall: 0.6875, relative_absolute_error: 1.0878, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4856, root_relative_squared_error: 1.0302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6223, f_measure: 0.6219, kappa: 0.1318, kb_relative_information_score: -36.5919, mean_absolute_error: 0.4552, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6157, predictive_accuracy: 0.6339, prior_entropy: 0.9188, recall: 0.6339, relative_absolute_error: 1.0239, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4736, root_relative_squared_error: 1.0046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.622, kappa: 0.1253, kb_relative_information_score: -114.9252, mean_absolute_error: 0.4879, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6244, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 1.0973, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4892, root_relative_squared_error: 1.0378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6641, f_measure: 0.6589, kappa: 0.2154, kb_relative_information_score: 11.821, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6545, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 0.9706, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4595, root_relative_squared_error: 0.9747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.69, kappa: 0.2917, kb_relative_information_score: -109.8022, mean_absolute_error: 0.4858, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6868, predictive_accuracy: 0.6964, prior_entropy: 0.9188, recall: 0.6964, relative_absolute_error: 1.0927, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4875, root_relative_squared_error: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6439, f_measure: 0.656, kappa: 0.2174, kb_relative_information_score: 116.6037, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6527, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.7927, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5388, root_relative_squared_error: 1.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.6773, kappa: 0.2537, kb_relative_information_score: -113.0407, mean_absolute_error: 0.4869, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6777, predictive_accuracy: 0.6964, prior_entropy: 0.9188, recall: 0.6964, relative_absolute_error: 1.0952, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4879, root_relative_squared_error: 1.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.623, f_measure: 0.6409, kappa: 0.1734, kb_relative_information_score: -51.2637, mean_absolute_error: 0.4586, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6356, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 1.0315, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6398, f_measure: 0.6306, kappa: 0.145, kb_relative_information_score: -90.2625, mean_absolute_error: 0.4778, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6265, predictive_accuracy: 0.6548, prior_entropy: 0.9188, recall: 0.6548, relative_absolute_error: 1.0747, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4821, root_relative_squared_error: 1.0228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7705, f_measure: 0.7104, kappa: 0.3291, kb_relative_information_score: 133.0473, mean_absolute_error: 0.3603, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7261, predictive_accuracy: 0.7351, prior_entropy: 0.9188, recall: 0.7351, relative_absolute_error: 0.8104, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4221, root_relative_squared_error: 0.8954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6381, f_measure: 0.6416, kappa: 0.1719, kb_relative_information_score: 96.8878, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6372, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.832, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4903, root_relative_squared_error: 1.0402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5981, f_measure: 0.5713, kappa: 0.0424, kb_relative_information_score: 16.7332, mean_absolute_error: 0.4324, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6071, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 0.9725, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4656, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5237, f_measure: 0.5346, kappa: -0.003, kb_relative_information_score: -6.6189, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5274, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 1.0024, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6635, f_measure: 0.6394, kappa: 0.1652, kb_relative_information_score: -126.5776, mean_absolute_error: 0.4929, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6443, predictive_accuracy: 0.6741, prior_entropy: 0.9188, recall: 0.6741, relative_absolute_error: 1.1085, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4932, root_relative_squared_error: 1.0462,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7037, f_measure: 0.6847, kappa: 0.2756, kb_relative_information_score: 135.5381, mean_absolute_error: 0.348, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6815, predictive_accuracy: 0.6949, prior_entropy: 0.9188, recall: 0.6949, relative_absolute_error: 0.7827, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6664, f_measure: 0.6019, kappa: 0.0923, kb_relative_information_score: 52.1498, mean_absolute_error: 0.4069, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6261, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4553, root_relative_squared_error: 0.9658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6399, f_measure: 0.6137, kappa: 0.1153, kb_relative_information_score: -124.0485, mean_absolute_error: 0.4917, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6361, predictive_accuracy: 0.6726, prior_entropy: 0.9188, recall: 0.6726, relative_absolute_error: 1.106, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4922, root_relative_squared_error: 1.0442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6359, f_measure: 0.6262, kappa: 0.1372, kb_relative_information_score: -32.1213, mean_absolute_error: 0.4536, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6201, predictive_accuracy: 0.6443, prior_entropy: 0.9188, recall: 0.6443, relative_absolute_error: 1.0201, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6897, f_measure: 0.6632, kappa: 0.2241, kb_relative_information_score: -135.511, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6595, predictive_accuracy: 0.6771, prior_entropy: 0.9188, recall: 0.6771, relative_absolute_error: 1.1176, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.497, root_relative_squared_error: 1.0542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7107, f_measure: 0.7083, kappa: 0.3252, kb_relative_information_score: -118.7664, mean_absolute_error: 0.4893, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.713, predictive_accuracy: 0.7262, prior_entropy: 0.9188, recall: 0.7262, relative_absolute_error: 1.1005, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4898, root_relative_squared_error: 1.0389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7083, f_measure: 0.611, kappa: 0.1221, kb_relative_information_score: 58.1558, mean_absolute_error: 0.4089, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.671, predictive_accuracy: 0.686, prior_entropy: 0.9188, recall: 0.686, relative_absolute_error: 0.9196, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4476, root_relative_squared_error: 0.9496,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6314, f_measure: 0.6442, kappa: 0.1887, kb_relative_information_score: -42.1563, mean_absolute_error: 0.4574, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6402, predictive_accuracy: 0.6503, prior_entropy: 0.9188, recall: 0.6503, relative_absolute_error: 1.0287, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4731, root_relative_squared_error: 1.0035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4724, kb_relative_information_score: -2.6924, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4716, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.6623, kappa: 0.2264, kb_relative_information_score: -46.6065, mean_absolute_error: 0.4596, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6581, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 1.0337, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6016, f_measure: 0.6201, kappa: 0.1319, kb_relative_information_score: 84.2999, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6149, predictive_accuracy: 0.628, prior_entropy: 0.9188, recall: 0.628, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5516, root_relative_squared_error: 1.1701,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6801, f_measure: 0.675, kappa: 0.262, kb_relative_information_score: -48.2989, mean_absolute_error: 0.4608, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6724, predictive_accuracy: 0.6786, prior_entropy: 0.9188, recall: 0.6786, relative_absolute_error: 1.0365, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.9989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4774, kb_relative_information_score: -2.8286, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6377, f_measure: 0.6379, kappa: 0.1762, kb_relative_information_score: 91.9317, mean_absolute_error: 0.3669, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6343, predictive_accuracy: 0.6429, prior_entropy: 0.9188, recall: 0.6429, relative_absolute_error: 0.8253, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5454, root_relative_squared_error: 1.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7145, f_measure: 0.6829, kappa: 0.2665, kb_relative_information_score: -108.6093, mean_absolute_error: 0.4849, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6846, predictive_accuracy: 0.7024, prior_entropy: 0.9188, recall: 0.7024, relative_absolute_error: 1.0905, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4857, root_relative_squared_error: 1.0304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.6549, kappa: 0.2098, kb_relative_information_score: 126.5896, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6505, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 0.7781, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5353, root_relative_squared_error: 1.1355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6824, f_measure: 0.5696, kappa: 0.0488, kb_relative_information_score: 21.3473, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.637, predictive_accuracy: 0.6711, prior_entropy: 0.9188, recall: 0.6711, relative_absolute_error: 0.9689, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4571, root_relative_squared_error: 0.9697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6767, f_measure: 0.6737, kappa: 0.2491, kb_relative_information_score: -62.6988, mean_absolute_error: 0.4666, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6704, predictive_accuracy: 0.686, prior_entropy: 0.9188, recall: 0.686, relative_absolute_error: 1.0495, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4735, root_relative_squared_error: 1.0044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4838, kb_relative_information_score: -4.3243, mean_absolute_error: 0.4461, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0034, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4722, root_relative_squared_error: 1.0017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.713, f_measure: 0.6948, kappa: 0.2973, kb_relative_information_score: -130.4539, mean_absolute_error: 0.4948, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.693, predictive_accuracy: 0.7068, prior_entropy: 0.9188, recall: 0.7068, relative_absolute_error: 1.1128, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4953, root_relative_squared_error: 1.0507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7349, f_measure: 0.6893, kappa: 0.2812, kb_relative_information_score: 93.5572, mean_absolute_error: 0.3837, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6917, predictive_accuracy: 0.7083, prior_entropy: 0.9188, recall: 0.7083, relative_absolute_error: 0.863, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4361, root_relative_squared_error: 0.9251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6777, f_measure: 0.6594, kappa: 0.2183, kb_relative_information_score: -52.6555, mean_absolute_error: 0.4622, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.655, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 1.0395, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6487, f_measure: 0.6588, kappa: 0.2165, kb_relative_information_score: 59.5316, mean_absolute_error: 0.3971, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6544, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 0.8931, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6289, f_measure: 0.627, kappa: 0.1371, kb_relative_information_score: 2.5122, mean_absolute_error: 0.4327, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6221, predictive_accuracy: 0.6503, prior_entropy: 0.9188, recall: 0.6503, relative_absolute_error: 0.9731, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4758, root_relative_squared_error: 1.0093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6281, f_measure: 0.6611, kappa: 0.2238, kb_relative_information_score: 95.4693, mean_absolute_error: 0.3711, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6568, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 0.8347, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.5026, root_relative_squared_error: 1.0663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6912, f_measure: 0.6751, kappa: 0.2482, kb_relative_information_score: -89.2305, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6769, predictive_accuracy: 0.6964, prior_entropy: 0.9188, recall: 0.6964, relative_absolute_error: 1.0721, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.479, root_relative_squared_error: 1.0162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7094, f_measure: 0.6806, kappa: 0.2627, kb_relative_information_score: 154.5276, mean_absolute_error: 0.3343, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6793, predictive_accuracy: 0.6964, prior_entropy: 0.9188, recall: 0.6964, relative_absolute_error: 0.7518, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.471, root_relative_squared_error: 0.999,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, kb_relative_information_score: -2.8283, mean_absolute_error: 0.4455, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.002, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4714, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7224, f_measure: 0.6849, kappa: 0.2834, kb_relative_information_score: -138.5316, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6822, predictive_accuracy: 0.689, prior_entropy: 0.9188, recall: 0.689, relative_absolute_error: 1.1208, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4984, root_relative_squared_error: 1.0572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6146, f_measure: 0.6237, kappa: 0.1348, kb_relative_information_score: -7.4078, mean_absolute_error: 0.4351, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6174, predictive_accuracy: 0.6369, prior_entropy: 0.9188, recall: 0.6369, relative_absolute_error: 0.9785, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.478, root_relative_squared_error: 1.014,

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