OpenML
Supervised Classification on electricity

Supervised Classification on electricity

Task 219 Supervised Classification electricity 77408 runs submitted
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  • at2 mythbusting_1 OpenML-CC18 OpenML100 study_1 study_123 study_14 study_15 study_20 study_41 study_7 study_70 study_99 under100k under1m
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.7812, kappa: 0.5495, kb_relative_information_score: 0.5548, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7857, predictive_accuracy: 0.7846, prior_entropy: 0.9835, recall: 0.7846, relative_absolute_error: 0.4408, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4641, root_relative_squared_error: 0.9389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8242, f_measure: 0.8317, kappa: 0.6543, kb_relative_information_score: 0.654, mean_absolute_error: 0.1674, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8323, predictive_accuracy: 0.8326, prior_entropy: 0.9835, recall: 0.8326, relative_absolute_error: 0.3425, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.8276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7377, f_measure: 0.7531, kappa: 0.4927, kb_relative_information_score: 0.5056, mean_absolute_error: 0.2391, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7671, predictive_accuracy: 0.7609, prior_entropy: 0.9835, recall: 0.7609, relative_absolute_error: 0.4894, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.489, root_relative_squared_error: 0.9894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8249, f_measure: 0.8333, kappa: 0.6574, kb_relative_information_score: 0.6578, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8345, predictive_accuracy: 0.8345, prior_entropy: 0.9835, recall: 0.8345, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.7543, kappa: 0.4947, kb_relative_information_score: 0.5053, mean_absolute_error: 0.2393, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7643, predictive_accuracy: 0.7607, prior_entropy: 0.9835, recall: 0.7607, relative_absolute_error: 0.4898, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9897,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.8009, kappa: 0.5903, kb_relative_information_score: 0.5932, mean_absolute_error: 0.1968, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8037, predictive_accuracy: 0.8032, prior_entropy: 0.9835, recall: 0.8032, relative_absolute_error: 0.4027, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7701, f_measure: 0.7821, kappa: 0.5515, kb_relative_information_score: 0.5561, mean_absolute_error: 0.2147, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.786, predictive_accuracy: 0.7853, prior_entropy: 0.9835, recall: 0.7853, relative_absolute_error: 0.4394, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9375,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7527, f_measure: 0.767, kappa: 0.5206, kb_relative_information_score: 0.53, mean_absolute_error: 0.2274, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7764, predictive_accuracy: 0.7726, prior_entropy: 0.9835, recall: 0.7726, relative_absolute_error: 0.4653, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4768, root_relative_squared_error: 0.9647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6363, f_measure: 0.6447, kappa: 0.2727, kb_relative_information_score: 0.2656, mean_absolute_error: 0.3552, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.6446, predictive_accuracy: 0.6448, prior_entropy: 0.9835, recall: 0.6448, relative_absolute_error: 0.727, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.596, root_relative_squared_error: 1.2058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8564, kappa: 0.7055, kb_relative_information_score: 0.7037, mean_absolute_error: 0.1433, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8564, predictive_accuracy: 0.8567, prior_entropy: 0.9835, recall: 0.8567, relative_absolute_error: 0.2933, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3786, root_relative_squared_error: 0.7659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7431, f_measure: 0.7579, kappa: 0.5023, kb_relative_information_score: 0.5132, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.769, predictive_accuracy: 0.7645, prior_entropy: 0.9835, recall: 0.7645, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4852, root_relative_squared_error: 0.9817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5509, f_measure: 0.5611, kappa: 0.1017, kb_relative_information_score: 0.0927, mean_absolute_error: 0.4389, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.5611, predictive_accuracy: 0.5611, prior_entropy: 0.9835, recall: 0.5611, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6625, root_relative_squared_error: 1.3403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8513, f_measure: 0.8565, kappa: 0.7058, kb_relative_information_score: 0.7041, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8565, predictive_accuracy: 0.8569, prior_entropy: 0.9835, recall: 0.8569, relative_absolute_error: 0.2929, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8511, f_measure: 0.8562, kappa: 0.7052, kb_relative_information_score: 0.7034, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8562, predictive_accuracy: 0.8566, prior_entropy: 0.9835, recall: 0.8566, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3787, root_relative_squared_error: 0.7663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3754, f_measure: 0.3897, kappa: -0.2491, kb_relative_information_score: -0.2618, mean_absolute_error: 0.6103, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3897, predictive_accuracy: 0.3897, prior_entropy: 0.9835, recall: 0.3897, relative_absolute_error: 1.2491, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.7812, root_relative_squared_error: 1.5806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7398, f_measure: 0.7549, kappa: 0.4963, kb_relative_information_score: 0.5084, mean_absolute_error: 0.2378, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7677, predictive_accuracy: 0.7622, prior_entropy: 0.9835, recall: 0.7622, relative_absolute_error: 0.4866, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4876, root_relative_squared_error: 0.9865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7721, f_measure: 0.784, kappa: 0.5554, kb_relative_information_score: 0.56, mean_absolute_error: 0.2129, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7879, predictive_accuracy: 0.7871, prior_entropy: 0.9835, recall: 0.7871, relative_absolute_error: 0.4356, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.822, f_measure: 0.8286, kappa: 0.6482, kb_relative_information_score: 0.647, mean_absolute_error: 0.1708, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8287, predictive_accuracy: 0.8292, prior_entropy: 0.9835, recall: 0.8292, relative_absolute_error: 0.3495, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4132, root_relative_squared_error: 0.8361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.7593, kappa: 0.5049, kb_relative_information_score: 0.5156, mean_absolute_error: 0.2343, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.77, predictive_accuracy: 0.7657, prior_entropy: 0.9835, recall: 0.7657, relative_absolute_error: 0.4795, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4841, root_relative_squared_error: 0.9793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7826, f_measure: 0.7939, kappa: 0.5758, kb_relative_information_score: 0.5793, mean_absolute_error: 0.2035, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7971, predictive_accuracy: 0.7965, prior_entropy: 0.9835, recall: 0.7965, relative_absolute_error: 0.4164, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.8031, kappa: 0.5948, kb_relative_information_score: 0.5974, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8055, predictive_accuracy: 0.8052, prior_entropy: 0.9835, recall: 0.8052, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.8094, kappa: 0.608, kb_relative_information_score: 0.6095, mean_absolute_error: 0.1889, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8111, predictive_accuracy: 0.8111, prior_entropy: 0.9835, recall: 0.8111, relative_absolute_error: 0.3865, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4346, root_relative_squared_error: 0.8792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.7716, kappa: 0.5299, kb_relative_information_score: 0.5379, mean_absolute_error: 0.2235, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7793, predictive_accuracy: 0.7765, prior_entropy: 0.9835, recall: 0.7765, relative_absolute_error: 0.4575, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7772, f_measure: 0.7889, kappa: 0.5654, kb_relative_information_score: 0.5696, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7926, predictive_accuracy: 0.7918, prior_entropy: 0.9835, recall: 0.7918, relative_absolute_error: 0.4261, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.359, f_measure: 0.3736, kappa: -0.2821, kb_relative_information_score: -0.295, mean_absolute_error: 0.6264, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.3735, predictive_accuracy: 0.3736, prior_entropy: 0.9835, recall: 0.3736, relative_absolute_error: 1.282, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.7915, root_relative_squared_error: 1.6013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.854, f_measure: 0.8588, kappa: 0.7105, kb_relative_information_score: 0.7086, mean_absolute_error: 0.141, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8587, predictive_accuracy: 0.859, prior_entropy: 0.9835, recall: 0.859, relative_absolute_error: 0.2885, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8502, f_measure: 0.8547, kappa: 0.7023, kb_relative_information_score: 0.7001, mean_absolute_error: 0.1451, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8547, predictive_accuracy: 0.8549, prior_entropy: 0.9835, recall: 0.8549, relative_absolute_error: 0.2969, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3809, root_relative_squared_error: 0.7706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.8047, kappa: 0.5982, kb_relative_information_score: 0.6011, mean_absolute_error: 0.193, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8076, predictive_accuracy: 0.807, prior_entropy: 0.9835, recall: 0.807, relative_absolute_error: 0.3949, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4393, root_relative_squared_error: 0.8888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7746, f_measure: 0.7864, kappa: 0.5603, kb_relative_information_score: 0.5647, mean_absolute_error: 0.2105, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7902, predictive_accuracy: 0.7895, prior_entropy: 0.9835, recall: 0.7895, relative_absolute_error: 0.4309, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4588, root_relative_squared_error: 0.9283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7767, f_measure: 0.7884, kappa: 0.5644, kb_relative_information_score: 0.5686, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.792, predictive_accuracy: 0.7913, prior_entropy: 0.9835, recall: 0.7913, relative_absolute_error: 0.4271, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4568, root_relative_squared_error: 0.9242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4797, f_measure: 0.4916, kappa: -0.0406, kb_relative_information_score: -0.0511, mean_absolute_error: 0.5084, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.4915, predictive_accuracy: 0.4916, prior_entropy: 0.9835, recall: 0.4916, relative_absolute_error: 1.0406, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.713, root_relative_squared_error: 1.4426,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7492, f_measure: 0.7636, kappa: 0.5137, kb_relative_information_score: 0.5235, mean_absolute_error: 0.2305, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7734, predictive_accuracy: 0.7695, prior_entropy: 0.9835, recall: 0.7695, relative_absolute_error: 0.4717, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4801, root_relative_squared_error: 0.9713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.743, f_measure: 0.7578, kappa: 0.5019, kb_relative_information_score: 0.513, mean_absolute_error: 0.2356, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7689, predictive_accuracy: 0.7644, prior_entropy: 0.9835, recall: 0.7644, relative_absolute_error: 0.4822, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4854, root_relative_squared_error: 0.982,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7687, f_measure: 0.7814, kappa: 0.55, kb_relative_information_score: 0.5558, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7867, predictive_accuracy: 0.7852, prior_entropy: 0.9835, recall: 0.7852, relative_absolute_error: 0.4397, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4635, root_relative_squared_error: 0.9378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8259, f_measure: 0.8335, kappa: 0.658, kb_relative_information_score: 0.6578, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8342, predictive_accuracy: 0.8345, prior_entropy: 0.9835, recall: 0.8345, relative_absolute_error: 0.3388, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.8231,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8306, f_measure: 0.8379, kappa: 0.6671, kb_relative_information_score: 0.6667, mean_absolute_error: 0.1612, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8385, predictive_accuracy: 0.8388, prior_entropy: 0.9835, recall: 0.8388, relative_absolute_error: 0.33, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4015, root_relative_squared_error: 0.8124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6956, f_measure: 0.7112, kappa: 0.4177, kb_relative_information_score: 0.4491, mean_absolute_error: 0.2665, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7671, predictive_accuracy: 0.7335, prior_entropy: 0.9835, recall: 0.7335, relative_absolute_error: 0.5453, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5162, root_relative_squared_error: 1.0444,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.7696, kappa: 0.526, kb_relative_information_score: 0.5345, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7779, predictive_accuracy: 0.7748, prior_entropy: 0.9835, recall: 0.7748, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7823, kappa: 0.5519, kb_relative_information_score: 0.5568, mean_absolute_error: 0.2144, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7864, predictive_accuracy: 0.7856, prior_entropy: 0.9835, recall: 0.7856, relative_absolute_error: 0.4388, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.463, root_relative_squared_error: 0.9368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7708, f_measure: 0.7827, kappa: 0.5528, kb_relative_information_score: 0.5574, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7867, predictive_accuracy: 0.7859, prior_entropy: 0.9835, recall: 0.7859, relative_absolute_error: 0.4381, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7344, f_measure: 0.7502, kappa: 0.4873, kb_relative_information_score: 0.5016, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7668, predictive_accuracy: 0.7589, prior_entropy: 0.9835, recall: 0.7589, relative_absolute_error: 0.4934, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.491, root_relative_squared_error: 0.9933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.4277, kappa: 0.0087, kb_relative_information_score: 0.1289, mean_absolute_error: 0.4213, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7511, predictive_accuracy: 0.5787, prior_entropy: 0.9835, recall: 0.5787, relative_absolute_error: 0.8623, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6491, root_relative_squared_error: 1.3133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.853, kappa: 0.6984, kb_relative_information_score: 0.6969, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.853, predictive_accuracy: 0.8534, prior_entropy: 0.9835, recall: 0.8534, relative_absolute_error: 0.3001, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3829, root_relative_squared_error: 0.7747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.8148, kappa: 0.6191, kb_relative_information_score: 0.6208, mean_absolute_error: 0.1834, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8167, predictive_accuracy: 0.8166, prior_entropy: 0.9835, recall: 0.8166, relative_absolute_error: 0.3754, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7404, f_measure: 0.755, kappa: 0.4962, kb_relative_information_score: 0.5068, mean_absolute_error: 0.2385, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7652, predictive_accuracy: 0.7615, prior_entropy: 0.9835, recall: 0.7615, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9881,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6985, f_measure: 0.7064, kappa: 0.3983, kb_relative_information_score: 0.3942, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7061, predictive_accuracy: 0.7069, prior_entropy: 0.9835, recall: 0.7069, relative_absolute_error: 0.5998, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5413, root_relative_squared_error: 1.0952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7868, f_measure: 0.7975, kappa: 0.5834, kb_relative_information_score: 0.5861, mean_absolute_error: 0.2002, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8001, predictive_accuracy: 0.7998, prior_entropy: 0.9835, recall: 0.7998, relative_absolute_error: 0.4097, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4474, root_relative_squared_error: 0.9052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7534, f_measure: 0.7676, kappa: 0.5218, kb_relative_information_score: 0.5307, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7764, predictive_accuracy: 0.773, prior_entropy: 0.9835, recall: 0.773, relative_absolute_error: 0.4646, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4764, root_relative_squared_error: 0.9639,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.4479, kappa: 0.0331, kb_relative_information_score: 0.1475, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7482, predictive_accuracy: 0.5876, prior_entropy: 0.9835, recall: 0.5876, relative_absolute_error: 0.8439, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6422, root_relative_squared_error: 1.2992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.8542, kappa: 0.7008, kb_relative_information_score: 0.6994, mean_absolute_error: 0.1454, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8542, predictive_accuracy: 0.8546, prior_entropy: 0.9835, recall: 0.8546, relative_absolute_error: 0.2976, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3813, root_relative_squared_error: 0.7715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8202, f_measure: 0.8285, kappa: 0.6476, kb_relative_information_score: 0.648, mean_absolute_error: 0.1703, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8296, predictive_accuracy: 0.8297, prior_entropy: 0.9835, recall: 0.8297, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4127, root_relative_squared_error: 0.8349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.755, kappa: 0.4962, kb_relative_information_score: 0.5073, mean_absolute_error: 0.2383, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7661, predictive_accuracy: 0.7617, prior_entropy: 0.9835, recall: 0.7617, relative_absolute_error: 0.4877, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8288, f_measure: 0.8337, kappa: 0.6593, kb_relative_information_score: 0.6567, mean_absolute_error: 0.166, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8336, predictive_accuracy: 0.834, prior_entropy: 0.9835, recall: 0.834, relative_absolute_error: 0.3398, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4075, root_relative_squared_error: 0.8244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7698, f_measure: 0.7818, kappa: 0.5509, kb_relative_information_score: 0.5556, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7858, predictive_accuracy: 0.785, prior_entropy: 0.9835, recall: 0.785, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.78, f_measure: 0.7914, kappa: 0.5707, kb_relative_information_score: 0.5746, mean_absolute_error: 0.2058, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7948, predictive_accuracy: 0.7942, prior_entropy: 0.9835, recall: 0.7942, relative_absolute_error: 0.4212, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8521, f_measure: 0.8567, kappa: 0.7063, kb_relative_information_score: 0.7043, mean_absolute_error: 0.1431, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8567, predictive_accuracy: 0.8569, prior_entropy: 0.9835, recall: 0.8569, relative_absolute_error: 0.2928, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3782, root_relative_squared_error: 0.7652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.8525, kappa: 0.6974, kb_relative_information_score: 0.6958, mean_absolute_error: 0.1472, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8525, predictive_accuracy: 0.8528, prior_entropy: 0.9835, recall: 0.8528, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3836, root_relative_squared_error: 0.7761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8543, f_measure: 0.8589, kappa: 0.7109, kb_relative_information_score: 0.7089, mean_absolute_error: 0.1408, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8589, predictive_accuracy: 0.8592, prior_entropy: 0.9835, recall: 0.8592, relative_absolute_error: 0.2882, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7426, f_measure: 0.7578, kappa: 0.5021, kb_relative_information_score: 0.514, mean_absolute_error: 0.2351, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7705, predictive_accuracy: 0.7649, prior_entropy: 0.9835, recall: 0.7649, relative_absolute_error: 0.4811, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4849, root_relative_squared_error: 0.9809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8428, kappa: 0.6772, kb_relative_information_score: 0.6763, mean_absolute_error: 0.1566, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8431, predictive_accuracy: 0.8434, prior_entropy: 0.9835, recall: 0.8434, relative_absolute_error: 0.3204, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3957, root_relative_squared_error: 0.8005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7713, f_measure: 0.7832, kappa: 0.5538, kb_relative_information_score: 0.5584, mean_absolute_error: 0.2136, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7872, predictive_accuracy: 0.7864, prior_entropy: 0.9835, recall: 0.7864, relative_absolute_error: 0.4372, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7453, f_measure: 0.7601, kappa: 0.5067, kb_relative_information_score: 0.5176, mean_absolute_error: 0.2334, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7713, predictive_accuracy: 0.7666, prior_entropy: 0.9835, recall: 0.7666, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7345, f_measure: 0.7502, kappa: 0.4872, kb_relative_information_score: 0.5013, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7663, predictive_accuracy: 0.7588, prior_entropy: 0.9835, recall: 0.7588, relative_absolute_error: 0.4937, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4911, root_relative_squared_error: 0.9937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8385, f_measure: 0.845, kappa: 0.6818, kb_relative_information_score: 0.6809, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8453, predictive_accuracy: 0.8456, prior_entropy: 0.9835, recall: 0.8456, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.7949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.7464, kappa: 0.4803, kb_relative_information_score: 0.4968, mean_absolute_error: 0.2434, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7671, predictive_accuracy: 0.7566, prior_entropy: 0.9835, recall: 0.7566, relative_absolute_error: 0.4981, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4934, root_relative_squared_error: 0.9981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.8586, kappa: 0.7102, kb_relative_information_score: 0.7083, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8586, predictive_accuracy: 0.8589, prior_entropy: 0.9835, recall: 0.8589, relative_absolute_error: 0.2888, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3756, root_relative_squared_error: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5721, f_measure: 0.582, kappa: 0.1442, kb_relative_information_score: 0.1361, mean_absolute_error: 0.4179, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.5819, predictive_accuracy: 0.5821, prior_entropy: 0.9835, recall: 0.5821, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6465, root_relative_squared_error: 1.3079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7609, f_measure: 0.7745, kappa: 0.5359, kb_relative_information_score: 0.5436, mean_absolute_error: 0.2208, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7819, predictive_accuracy: 0.7792, prior_entropy: 0.9835, recall: 0.7792, relative_absolute_error: 0.4519, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4699, root_relative_squared_error: 0.9506,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.848, kappa: 0.6883, kb_relative_information_score: 0.6867, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8481, predictive_accuracy: 0.8485, prior_entropy: 0.9835, recall: 0.8485, relative_absolute_error: 0.3101, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.7875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8453, f_measure: 0.8512, kappa: 0.6947, kb_relative_information_score: 0.6935, mean_absolute_error: 0.1483, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8514, predictive_accuracy: 0.8517, prior_entropy: 0.9835, recall: 0.8517, relative_absolute_error: 0.3035, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3851, root_relative_squared_error: 0.7791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.5621, kappa: 0.1032, kb_relative_information_score: 0.0953, mean_absolute_error: 0.4376, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.5618, predictive_accuracy: 0.5624, prior_entropy: 0.9835, recall: 0.5624, relative_absolute_error: 0.8956, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6615, root_relative_squared_error: 1.3384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7692, f_measure: 0.7813, kappa: 0.5498, kb_relative_information_score: 0.5546, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7854, predictive_accuracy: 0.7846, prior_entropy: 0.9835, recall: 0.7846, relative_absolute_error: 0.4409, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4642, root_relative_squared_error: 0.9391,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8032, f_measure: 0.8129, kappa: 0.6152, kb_relative_information_score: 0.6168, mean_absolute_error: 0.1853, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8148, predictive_accuracy: 0.8147, prior_entropy: 0.9835, recall: 0.8147, relative_absolute_error: 0.3793, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7684, f_measure: 0.7803, kappa: 0.5478, kb_relative_information_score: 0.5525, mean_absolute_error: 0.2165, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7842, predictive_accuracy: 0.7835, prior_entropy: 0.9835, recall: 0.7835, relative_absolute_error: 0.443, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4652, root_relative_squared_error: 0.9413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7739, f_measure: 0.7857, kappa: 0.5589, kb_relative_information_score: 0.5632, mean_absolute_error: 0.2113, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7894, predictive_accuracy: 0.7887, prior_entropy: 0.9835, recall: 0.7887, relative_absolute_error: 0.4324, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7605, f_measure: 0.774, kappa: 0.5349, kb_relative_information_score: 0.5425, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7813, predictive_accuracy: 0.7787, prior_entropy: 0.9835, recall: 0.7787, relative_absolute_error: 0.4529, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.7544, kappa: 0.4948, kb_relative_information_score: 0.5054, mean_absolute_error: 0.2392, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7644, predictive_accuracy: 0.7608, prior_entropy: 0.9835, recall: 0.7608, relative_absolute_error: 0.4896, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4891, root_relative_squared_error: 0.9896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7715, f_measure: 0.7833, kappa: 0.5541, kb_relative_information_score: 0.5586, mean_absolute_error: 0.2135, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7872, predictive_accuracy: 0.7865, prior_entropy: 0.9835, recall: 0.7865, relative_absolute_error: 0.437, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4621, root_relative_squared_error: 0.9349,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.4205, kappa: 0.0002, kb_relative_information_score: 0.1225, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7557, predictive_accuracy: 0.5755, prior_entropy: 0.9835, recall: 0.5755, relative_absolute_error: 0.8687, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.6515, root_relative_squared_error: 1.3181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7335, f_measure: 0.7483, kappa: 0.4824, kb_relative_information_score: 0.4938, mean_absolute_error: 0.2449, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7588, predictive_accuracy: 0.7551, prior_entropy: 0.9835, recall: 0.7551, relative_absolute_error: 0.5012, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4949, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7725, kappa: 0.5323, kb_relative_information_score: 0.543, mean_absolute_error: 0.221, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7853, predictive_accuracy: 0.779, prior_entropy: 0.9835, recall: 0.779, relative_absolute_error: 0.4524, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4702, root_relative_squared_error: 0.9512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7941, f_measure: 0.804, kappa: 0.5969, kb_relative_information_score: 0.5987, mean_absolute_error: 0.1941, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8058, predictive_accuracy: 0.8059, prior_entropy: 0.9835, recall: 0.8059, relative_absolute_error: 0.3972, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7407, f_measure: 0.7561, kappa: 0.4989, kb_relative_information_score: 0.5116, mean_absolute_error: 0.2362, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7702, predictive_accuracy: 0.7638, prior_entropy: 0.9835, recall: 0.7638, relative_absolute_error: 0.4835, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.486, root_relative_squared_error: 0.9833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7438, f_measure: 0.7583, kappa: 0.5029, kb_relative_information_score: 0.5132, mean_absolute_error: 0.2355, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7683, predictive_accuracy: 0.7645, prior_entropy: 0.9835, recall: 0.7645, relative_absolute_error: 0.4819, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4853, root_relative_squared_error: 0.9818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7737, f_measure: 0.7854, kappa: 0.5584, kb_relative_information_score: 0.5627, mean_absolute_error: 0.2115, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7892, predictive_accuracy: 0.7885, prior_entropy: 0.9835, recall: 0.7885, relative_absolute_error: 0.4329, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7642, f_measure: 0.7769, kappa: 0.5407, kb_relative_information_score: 0.5466, mean_absolute_error: 0.2193, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.782, predictive_accuracy: 0.7807, prior_entropy: 0.9835, recall: 0.7807, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4683, root_relative_squared_error: 0.9475,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7613, f_measure: 0.7745, kappa: 0.5358, kb_relative_information_score: 0.5426, mean_absolute_error: 0.2213, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7806, predictive_accuracy: 0.7787, prior_entropy: 0.9835, recall: 0.7787, relative_absolute_error: 0.4528, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4704, root_relative_squared_error: 0.9517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7551, f_measure: 0.7693, kappa: 0.5254, kb_relative_information_score: 0.5345, mean_absolute_error: 0.2252, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7785, predictive_accuracy: 0.7748, prior_entropy: 0.9835, recall: 0.7748, relative_absolute_error: 0.4609, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8403, f_measure: 0.846, kappa: 0.6842, kb_relative_information_score: 0.6826, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8461, predictive_accuracy: 0.8465, prior_entropy: 0.9835, recall: 0.8465, relative_absolute_error: 0.3142, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7574, f_measure: 0.7712, kappa: 0.5292, kb_relative_information_score: 0.5372, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.779, predictive_accuracy: 0.7762, prior_entropy: 0.9835, recall: 0.7762, relative_absolute_error: 0.4581, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.7543, kappa: 0.4945, kb_relative_information_score: 0.5052, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7642, predictive_accuracy: 0.7606, prior_entropy: 0.9835, recall: 0.7606, relative_absolute_error: 0.4899, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4892, root_relative_squared_error: 0.9898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7703, f_measure: 0.7822, kappa: 0.5517, kb_relative_information_score: 0.5563, mean_absolute_error: 0.2146, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.786, predictive_accuracy: 0.7854, prior_entropy: 0.9835, recall: 0.7854, relative_absolute_error: 0.4393, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4633, root_relative_squared_error: 0.9373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.8296, kappa: 0.6507, kb_relative_information_score: 0.6486, mean_absolute_error: 0.17, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8295, predictive_accuracy: 0.83, prior_entropy: 0.9835, recall: 0.83, relative_absolute_error: 0.3479, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4123, root_relative_squared_error: 0.8342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.8444, kappa: 0.6814, kb_relative_information_score: 0.6784, mean_absolute_error: 0.1555, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8443, predictive_accuracy: 0.8445, prior_entropy: 0.9835, recall: 0.8445, relative_absolute_error: 0.3183, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.7979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7725, f_measure: 0.7844, kappa: 0.5562, kb_relative_information_score: 0.5606, mean_absolute_error: 0.2125, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7882, predictive_accuracy: 0.7875, prior_entropy: 0.9835, recall: 0.7875, relative_absolute_error: 0.435, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.461, root_relative_squared_error: 0.9327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7501, f_measure: 0.7645, kappa: 0.5156, kb_relative_information_score: 0.5252, mean_absolute_error: 0.2297, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7741, predictive_accuracy: 0.7703, prior_entropy: 0.9835, recall: 0.7703, relative_absolute_error: 0.4701, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.7171, kappa: 0.428, kb_relative_information_score: 0.4573, mean_absolute_error: 0.2625, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7675, predictive_accuracy: 0.7375, prior_entropy: 0.9835, recall: 0.7375, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5124, root_relative_squared_error: 1.0366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7927, f_measure: 0.8031, kappa: 0.5949, kb_relative_information_score: 0.5973, mean_absolute_error: 0.1948, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.8055, predictive_accuracy: 0.8052, prior_entropy: 0.9835, recall: 0.8052, relative_absolute_error: 0.3986, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4413, root_relative_squared_error: 0.8929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7086, f_measure: 0.7156, kappa: 0.4176, kb_relative_information_score: 0.4124, mean_absolute_error: 0.2842, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7155, predictive_accuracy: 0.7158, prior_entropy: 0.9835, recall: 0.7158, relative_absolute_error: 0.5817, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.5331, root_relative_squared_error: 1.0786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.7597, kappa: 0.506, kb_relative_information_score: 0.5172, mean_absolute_error: 0.2335, mean_prior_absolute_error: 0.4886, number_of_instances: 45312, precision: 0.7715, predictive_accuracy: 0.7665, prior_entropy: 0.9835, recall: 0.7665, relative_absolute_error: 0.478, root_mean_prior_squared_error: 0.4943, root_mean_squared_error: 0.4833, root_relative_squared_error: 0.9777,

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