Task
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: 0.6901, f_measure: 0.6584, kappa: 0.2097, kb_relative_information_score: 77.2999, mean_absolute_error: 0.3919, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6708, predictive_accuracy: 0.6935, prior_entropy: 0.9188, recall: 0.6935, relative_absolute_error: 0.8815, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5434, kb_relative_information_score: -0.1582, mean_absolute_error: 0.4445, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5507, f_measure: 0.5588, kappa: 0.0259, kb_relative_information_score: 9.021, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6003, predictive_accuracy: 0.6637, prior_entropy: 0.9188, recall: 0.6637, relative_absolute_error: 0.979, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9935,
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: 0.5592, kb_relative_information_score: 2.2955, mean_absolute_error: 0.4428, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.6899, kappa: 0.2829, kb_relative_information_score: 105.2287, mean_absolute_error: 0.3754, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6918, predictive_accuracy: 0.7083, prior_entropy: 0.9188, recall: 0.7083, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4325, root_relative_squared_error: 0.9174,
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: 0.6781, f_measure: 0.5454, kappa: 0.0177, kb_relative_information_score: 14.7145, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6687, predictive_accuracy: 0.6696, prior_entropy: 0.9188, recall: 0.6696, relative_absolute_error: 0.9769, 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: 0.4928, 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: 0.6336, f_measure: 0.5891, kappa: 0.0753, kb_relative_information_score: 26.0856, mean_absolute_error: 0.4257, 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: 0.9576, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.979,
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: 0.7473, f_measure: 0.6925, kappa: 0.2879, kb_relative_information_score: 102.7671, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.707, predictive_accuracy: 0.7202, prior_entropy: 0.9188, recall: 0.7202, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9209,
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: 0.6554, f_measure: 0.6712, kappa: 0.2438, kb_relative_information_score: 114.6151, mean_absolute_error: 0.3618, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6676, predictive_accuracy: 0.683, prior_entropy: 0.9188, recall: 0.683, relative_absolute_error: 0.8137, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4968, root_relative_squared_error: 1.0539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7504, f_measure: 0.6916, kappa: 0.2857, kb_relative_information_score: 112.1948, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7025, predictive_accuracy: 0.7173, prior_entropy: 0.9188, recall: 0.7173, relative_absolute_error: 0.8379, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.9113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6943, f_measure: 0.6721, kappa: 0.2406, kb_relative_information_score: 82.6652, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6793, predictive_accuracy: 0.6994, prior_entropy: 0.9188, recall: 0.6994, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9543,
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: 0.4747, kb_relative_information_score: -8.2328, mean_absolute_error: 0.4469, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0052, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.0041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7429, f_measure: 0.6841, kappa: 0.2692, kb_relative_information_score: 90.5896, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.705, predictive_accuracy: 0.7173, prior_entropy: 0.9188, recall: 0.7173, relative_absolute_error: 0.8716, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.9266,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5185, kb_relative_information_score: -2.2313, 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: 1.0016, 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: 0.7596, f_measure: 0.7154, kappa: 0.3409, kb_relative_information_score: 124.5187, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7349, predictive_accuracy: 0.7411, prior_entropy: 0.9188, recall: 0.7411, relative_absolute_error: 0.8218, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4256, root_relative_squared_error: 0.9029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5798, f_measure: 0.5526, kappa: 0.0144, kb_relative_information_score: 7.3498, mean_absolute_error: 0.433, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5825, predictive_accuracy: 0.6607, prior_entropy: 0.9188, recall: 0.6607, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4681, root_relative_squared_error: 0.993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7622, f_measure: 0.7163, kappa: 0.3429, kb_relative_information_score: 130.4105, mean_absolute_error: 0.3607, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7313, predictive_accuracy: 0.7396, prior_entropy: 0.9188, recall: 0.7396, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8993,
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: 0.549, f_measure: 0.5365, kappa: -0.0029, kb_relative_information_score: 0.3825, mean_absolute_error: 0.4383, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5393, predictive_accuracy: 0.6622, prior_entropy: 0.9188, recall: 0.6622, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4687, root_relative_squared_error: 0.9942,
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: 0.692, f_measure: 0.6365, kappa: 0.16, kb_relative_information_score: 75.2208, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6467, predictive_accuracy: 0.6771, prior_entropy: 0.9188, recall: 0.6771, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4504, root_relative_squared_error: 0.9555,
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: 0.7544, f_measure: 0.7048, kappa: 0.3163, kb_relative_information_score: 122.5054, mean_absolute_error: 0.3654, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7154, predictive_accuracy: 0.7277, prior_entropy: 0.9188, recall: 0.7277, relative_absolute_error: 0.8219, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.6771, kappa: 0.2529, kb_relative_information_score: 89.0877, mean_absolute_error: 0.3882, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6939, predictive_accuracy: 0.7098, prior_entropy: 0.9188, recall: 0.7098, relative_absolute_error: 0.8732, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4371, root_relative_squared_error: 0.9272,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6953, f_measure: 0.6684, kappa: 0.232, kb_relative_information_score: 83.7505, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6771, predictive_accuracy: 0.6979, prior_entropy: 0.9188, recall: 0.6979, relative_absolute_error: 0.8701, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4485, root_relative_squared_error: 0.9514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7467, f_measure: 0.7003, kappa: 0.306, kb_relative_information_score: 106.7542, mean_absolute_error: 0.376, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7097, predictive_accuracy: 0.7232, prior_entropy: 0.9188, recall: 0.7232, relative_absolute_error: 0.8456, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.9181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7496, f_measure: 0.7242, kappa: 0.3614, kb_relative_information_score: 129.2793, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7354, predictive_accuracy: 0.744, prior_entropy: 0.9188, recall: 0.744, relative_absolute_error: 0.8146, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5581, f_measure: 0.539, kb_relative_information_score: 3.8161, mean_absolute_error: 0.4403, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5556, predictive_accuracy: 0.6622, prior_entropy: 0.9188, recall: 0.6622, relative_absolute_error: 0.9904, 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: 0.5604, f_measure: 0.551, kappa: 0.0086, kb_relative_information_score: -1.3976, mean_absolute_error: 0.4386, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5705, predictive_accuracy: 0.6577, prior_entropy: 0.9188, recall: 0.6577, relative_absolute_error: 0.9864, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.6941, kappa: 0.2919, kb_relative_information_score: 125.4183, mean_absolute_error: 0.364, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7117, predictive_accuracy: 0.7232, prior_entropy: 0.9188, recall: 0.7232, relative_absolute_error: 0.8188, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.904,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.693, f_measure: 0.6596, kappa: 0.2125, kb_relative_information_score: 78.631, mean_absolute_error: 0.3906, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6729, predictive_accuracy: 0.6949, prior_entropy: 0.9188, recall: 0.6949, relative_absolute_error: 0.8785, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6948, f_measure: 0.652, kappa: 0.1951, kb_relative_information_score: 76.2652, mean_absolute_error: 0.3927, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6644, predictive_accuracy: 0.689, prior_entropy: 0.9188, recall: 0.689, relative_absolute_error: 0.8832, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9491,
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: 0.6874, f_measure: 0.6624, kappa: 0.218, kb_relative_information_score: 79.5348, mean_absolute_error: 0.3894, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6677, predictive_accuracy: 0.6905, prior_entropy: 0.9188, recall: 0.6905, relative_absolute_error: 0.8759, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4524, root_relative_squared_error: 0.9598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7378, kappa: 0.3942, kb_relative_information_score: 152.5346, mean_absolute_error: 0.3446, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7425, predictive_accuracy: 0.7515, prior_entropy: 0.9188, recall: 0.7515, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5225, f_measure: 0.5326, kappa: -0.003, kb_relative_information_score: -0.2498, mean_absolute_error: 0.4404, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.4441, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 0.9906, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, kb_relative_information_score: 0.2397, mean_absolute_error: 0.444, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9987, 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: 0.7466, f_measure: 0.6831, kappa: 0.2662, kb_relative_information_score: 99.1654, mean_absolute_error: 0.381, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6973, predictive_accuracy: 0.7128, prior_entropy: 0.9188, recall: 0.7128, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.435, root_relative_squared_error: 0.9227,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7141, f_measure: 0.6827, kappa: 0.2652, kb_relative_information_score: 95.748, mean_absolute_error: 0.3806, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.695, predictive_accuracy: 0.7113, prior_entropy: 0.9188, recall: 0.7113, relative_absolute_error: 0.856, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6928, f_measure: 0.6629, kappa: 0.2202, kb_relative_information_score: 76.4168, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6772, predictive_accuracy: 0.6979, prior_entropy: 0.9188, recall: 0.6979, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4491, root_relative_squared_error: 0.9527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.533, f_measure: 0.5488, kappa: -0.0044, kb_relative_information_score: -85.9163, mean_absolute_error: 0.4839, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5536, predictive_accuracy: 0.5446, prior_entropy: 0.9188, recall: 0.5446, relative_absolute_error: 1.0883, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6301, root_relative_squared_error: 1.3367,
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: 0.7596, f_measure: 0.7007, kappa: 0.3071, kb_relative_information_score: 126.5858, mean_absolute_error: 0.3638, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7198, predictive_accuracy: 0.7292, prior_entropy: 0.9188, recall: 0.7292, relative_absolute_error: 0.8182, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4257, root_relative_squared_error: 0.903,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5494, f_measure: 0.5365, kappa: -0.0029, kb_relative_information_score: 5.5914, mean_absolute_error: 0.4381, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5393, predictive_accuracy: 0.6622, prior_entropy: 0.9188, recall: 0.6622, relative_absolute_error: 0.9854, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.468, root_relative_squared_error: 0.9928,
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: 0.6786, f_measure: 0.6568, kappa: 0.2053, kb_relative_information_score: 76.817, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6649, predictive_accuracy: 0.689, prior_entropy: 0.9188, recall: 0.689, relative_absolute_error: 0.877, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4557, root_relative_squared_error: 0.9666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6971, f_measure: 0.6663, kappa: 0.2273, kb_relative_information_score: 84.8237, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6751, predictive_accuracy: 0.6964, prior_entropy: 0.9188, recall: 0.6964, relative_absolute_error: 0.8694, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9492,
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: 0.6617, f_measure: 0.6219, kappa: 0.1278, kb_relative_information_score: 52.758, mean_absolute_error: 0.4072, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6317, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.9158, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6915, f_measure: 0.6774, kappa: 0.2528, kb_relative_information_score: 112.1836, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6851, predictive_accuracy: 0.7039, prior_entropy: 0.9188, recall: 0.7039, relative_absolute_error: 0.8199, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9735,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5614, f_measure: 0.538, kappa: 0.003, kb_relative_information_score: 0.019, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5781, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 0.993, 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: 0.7408, f_measure: 0.6994, kappa: 0.3043, kb_relative_information_score: 104.6888, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.704, predictive_accuracy: 0.7188, prior_entropy: 0.9188, recall: 0.7188, relative_absolute_error: 0.8467, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7679, f_measure: 0.7223, kappa: 0.3571, kb_relative_information_score: 144.0145, mean_absolute_error: 0.3508, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7312, predictive_accuracy: 0.7411, prior_entropy: 0.9188, recall: 0.7411, relative_absolute_error: 0.789, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4196, root_relative_squared_error: 0.8902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, kb_relative_information_score: -1.6456, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9953, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9993,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7272, f_measure: 0.6786, kappa: 0.2557, kb_relative_information_score: 99.6193, mean_absolute_error: 0.3799, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6912, predictive_accuracy: 0.7083, prior_entropy: 0.9188, recall: 0.7083, relative_absolute_error: 0.8544, 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: 0.5152, kb_relative_information_score: -2.8107, 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: 0.5604, kb_relative_information_score: 0.2111, mean_absolute_error: 0.4436, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.7076, kappa: 0.3228, kb_relative_information_score: 129.0676, mean_absolute_error: 0.3622, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7247, predictive_accuracy: 0.7336, prior_entropy: 0.9188, recall: 0.7336, relative_absolute_error: 0.8147, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4236, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6911, f_measure: 0.666, kappa: 0.2264, kb_relative_information_score: 82.4779, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6733, predictive_accuracy: 0.6949, prior_entropy: 0.9188, recall: 0.6949, relative_absolute_error: 0.871, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4499, root_relative_squared_error: 0.9543,
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: 0.5454, kb_relative_information_score: -1.3273, mean_absolute_error: 0.4449, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 1.0006, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4711, root_relative_squared_error: 0.9994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7383, f_measure: 0.6907, kappa: 0.2846, kb_relative_information_score: 89.137, mean_absolute_error: 0.3876, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7135, predictive_accuracy: 0.7232, prior_entropy: 0.9188, recall: 0.7232, relative_absolute_error: 0.8718, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4379, root_relative_squared_error: 0.9288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6808, f_measure: 0.5413, kappa: 0.0088, kb_relative_information_score: 21.871, mean_absolute_error: 0.4307, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6121, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7636, f_measure: 0.7109, kappa: 0.3304, kb_relative_information_score: 127.4586, mean_absolute_error: 0.3631, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7287, predictive_accuracy: 0.7366, prior_entropy: 0.9188, recall: 0.7366, relative_absolute_error: 0.8166, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.764, f_measure: 0.708, kappa: 0.3238, kb_relative_information_score: 132.3948, mean_absolute_error: 0.3609, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7192, predictive_accuracy: 0.7307, prior_entropy: 0.9188, recall: 0.7307, relative_absolute_error: 0.8117, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4226, root_relative_squared_error: 0.8965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7449, f_measure: 0.6726, kappa: 0.2442, kb_relative_information_score: 88.9616, mean_absolute_error: 0.3886, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6985, predictive_accuracy: 0.7113, prior_entropy: 0.9188, recall: 0.7113, relative_absolute_error: 0.8739, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4376, root_relative_squared_error: 0.9282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.7351, kappa: 0.3867, kb_relative_information_score: 139.5208, mean_absolute_error: 0.3556, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7457, predictive_accuracy: 0.753, prior_entropy: 0.9188, recall: 0.753, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4185, root_relative_squared_error: 0.8877,
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: -2.8285, 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: 0.678, f_measure: 0.6565, kappa: 0.2045, kb_relative_information_score: 74.4878, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6632, predictive_accuracy: 0.6875, prior_entropy: 0.9188, recall: 0.6875, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.695, f_measure: 0.6582, kappa: 0.2089, kb_relative_information_score: 83.2144, mean_absolute_error: 0.3879, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6688, predictive_accuracy: 0.692, prior_entropy: 0.9188, recall: 0.692, relative_absolute_error: 0.8724, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6905, f_measure: 0.6651, kappa: 0.2245, kb_relative_information_score: 83.2442, mean_absolute_error: 0.3871, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6732, predictive_accuracy: 0.6949, prior_entropy: 0.9188, recall: 0.6949, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4494, root_relative_squared_error: 0.9534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5083, kb_relative_information_score: -2.829, 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: 0.7371, f_measure: 0.681, kappa: 0.2614, kb_relative_information_score: 100.5168, mean_absolute_error: 0.3797, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6954, predictive_accuracy: 0.7113, prior_entropy: 0.9188, recall: 0.7113, relative_absolute_error: 0.854, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.5456, kappa: 0.0117, kb_relative_information_score: 4.002, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5973, predictive_accuracy: 0.6652, prior_entropy: 0.9188, recall: 0.6652, relative_absolute_error: 0.9843, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9946,
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: 0.7482, f_measure: 0.7043, kappa: 0.3153, kb_relative_information_score: 108.1439, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7208, predictive_accuracy: 0.7307, prior_entropy: 0.9188, recall: 0.7307, relative_absolute_error: 0.8441, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4318, root_relative_squared_error: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.748, f_measure: 0.6892, kappa: 0.2806, kb_relative_information_score: 114.7395, mean_absolute_error: 0.371, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7083, predictive_accuracy: 0.7202, prior_entropy: 0.9188, recall: 0.7202, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.9093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7482, f_measure: 0.6987, kappa: 0.3024, kb_relative_information_score: 104.0511, mean_absolute_error: 0.3783, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.718, predictive_accuracy: 0.7277, prior_entropy: 0.9188, recall: 0.7277, relative_absolute_error: 0.8508, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4328, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.697, f_measure: 0.6606, kappa: 0.2146, kb_relative_information_score: 82.9145, mean_absolute_error: 0.3884, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6729, predictive_accuracy: 0.6949, prior_entropy: 0.9188, recall: 0.6949, relative_absolute_error: 0.8735, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4475, root_relative_squared_error: 0.9493,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6937, f_measure: 0.6541, kappa: 0.2, kb_relative_information_score: 76.9863, mean_absolute_error: 0.3922, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6665, predictive_accuracy: 0.6905, prior_entropy: 0.9188, recall: 0.6905, relative_absolute_error: 0.8822, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7022, f_measure: 0.6708, kappa: 0.2385, kb_relative_information_score: 88.0982, mean_absolute_error: 0.3881, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6879, predictive_accuracy: 0.7054, prior_entropy: 0.9188, recall: 0.7054, relative_absolute_error: 0.8729, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4442, root_relative_squared_error: 0.9423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.757, f_measure: 0.7018, kappa: 0.3094, kb_relative_information_score: 125.1119, mean_absolute_error: 0.3648, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7165, predictive_accuracy: 0.7277, prior_entropy: 0.9188, recall: 0.7277, relative_absolute_error: 0.8205, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4267, root_relative_squared_error: 0.9052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7624, f_measure: 0.6978, kappa: 0.3001, kb_relative_information_score: 121.0728, mean_absolute_error: 0.3678, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7128, predictive_accuracy: 0.7247, prior_entropy: 0.9188, recall: 0.7247, relative_absolute_error: 0.8272, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.9001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5835, f_measure: 0.5591, kappa: 0.0318, kb_relative_information_score: 6.9048, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6236, predictive_accuracy: 0.6682, prior_entropy: 0.9188, recall: 0.6682, relative_absolute_error: 0.9821, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5232, kb_relative_information_score: -2.8384, mean_absolute_error: 0.4434, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4717, root_relative_squared_error: 1.0007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.5504, kappa: -0.0044, kb_relative_information_score: -82.0215, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.5536, predictive_accuracy: 0.5476, prior_entropy: 0.9188, recall: 0.5476, relative_absolute_error: 1.0808, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.6126, root_relative_squared_error: 1.2996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6861, f_measure: 0.6594, kappa: 0.2117, kb_relative_information_score: 82.8775, mean_absolute_error: 0.388, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.6708, predictive_accuracy: 0.6935, prior_entropy: 0.9188, recall: 0.6935, relative_absolute_error: 0.8727, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4503, root_relative_squared_error: 0.9552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7662, f_measure: 0.7197, kappa: 0.3507, kb_relative_information_score: 134.8503, mean_absolute_error: 0.3583, mean_prior_absolute_error: 0.4446, number_of_instances: 672, precision: 0.7323, predictive_accuracy: 0.7411, prior_entropy: 0.9188, recall: 0.7411, relative_absolute_error: 0.8058, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4219, root_relative_squared_error: 0.8949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5675, kb_relative_information_score: 2.4032, mean_absolute_error: 0.4427, mean_prior_absolute_error: 0.4446, number_of_instances: 672, predictive_accuracy: 0.6667, prior_entropy: 0.9188, recall: 0.6667, relative_absolute_error: 0.9956, root_mean_prior_squared_error: 0.4714, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9972,

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