OpenML
Supervised Classification on mozilla4

Supervised Classification on mozilla4

Task 3899 Supervised Classification mozilla4 107074 runs submitted
0 likes downloaded by 3 people , 9 total downloads 0 issues
Visibility: Public
  • mythbusting_1 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_7 under100k under1m
Issue #Downvotes for this reason By


Metric:

107074 Runs

Fetching data
Note: Chart is limited to the 100 best flows, and the 100 best runs for each flow.
Fetching data
Search runs in more detail
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.708, f_measure: 0.7558, kappa: 0.436, kb_relative_information_score: 6735.1089, mean_absolute_error: 0.2374, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.755, predictive_accuracy: 0.7626, prior_entropy: 0.9135, recall: 0.7626, relative_absolute_error: 0.5381, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4873, root_relative_squared_error: 1.0374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.893, f_measure: 0.9043, kappa: 0.7835, kb_relative_information_score: 11988.3517, mean_absolute_error: 0.0959, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9045, predictive_accuracy: 0.9041, prior_entropy: 0.9135, recall: 0.9041, relative_absolute_error: 0.2172, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.6591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8358, f_measure: 0.8362, kappa: 0.6395, kb_relative_information_score: 9348.6031, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8465, predictive_accuracy: 0.833, prior_entropy: 0.9135, recall: 0.833, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.8235, kappa: 0.5981, kb_relative_information_score: 9028.7782, mean_absolute_error: 0.1756, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8229, predictive_accuracy: 0.8244, prior_entropy: 0.9135, recall: 0.8244, relative_absolute_error: 0.398, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4191, root_relative_squared_error: 0.8922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8344, f_measure: 0.8339, kappa: 0.6352, kb_relative_information_score: 9255.5198, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8452, predictive_accuracy: 0.8305, prior_entropy: 0.9135, recall: 0.8305, relative_absolute_error: 0.3842, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4117, root_relative_squared_error: 0.8765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7017, f_measure: 0.7503, kappa: 0.4231, kb_relative_information_score: 6539.3951, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7493, predictive_accuracy: 0.7573, prior_entropy: 0.9135, recall: 0.7573, relative_absolute_error: 0.5501, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4927, root_relative_squared_error: 1.0489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8783, f_measure: 0.8862, kappa: 0.7444, kb_relative_information_score: 11291.4199, mean_absolute_error: 0.1146, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8879, predictive_accuracy: 0.8854, prior_entropy: 0.9135, recall: 0.8854, relative_absolute_error: 0.2598, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.7208,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8404, kappa: 0.6465, kb_relative_information_score: 9522.8361, mean_absolute_error: 0.1623, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8478, predictive_accuracy: 0.8377, prior_entropy: 0.9135, recall: 0.8377, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4029, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.7561, kappa: 0.4355, kb_relative_information_score: 6785.2307, mean_absolute_error: 0.2361, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.756, predictive_accuracy: 0.7639, prior_entropy: 0.9135, recall: 0.7639, relative_absolute_error: 0.535, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4859, root_relative_squared_error: 1.0345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.8902, kappa: 0.7526, kb_relative_information_score: 11446.5588, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8912, predictive_accuracy: 0.8895, prior_entropy: 0.9135, recall: 0.8895, relative_absolute_error: 0.2503, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3323, root_relative_squared_error: 0.7076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8733, f_measure: 0.8817, kappa: 0.7343, kb_relative_information_score: 11121.9604, mean_absolute_error: 0.1192, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8835, predictive_accuracy: 0.8808, prior_entropy: 0.9135, recall: 0.8808, relative_absolute_error: 0.2701, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.7351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8348, f_measure: 0.8345, kappa: 0.6362, kb_relative_information_score: 9277.0005, mean_absolute_error: 0.1689, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8456, predictive_accuracy: 0.8311, prior_entropy: 0.9135, recall: 0.8311, relative_absolute_error: 0.3828, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.411, root_relative_squared_error: 0.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8362, f_measure: 0.8363, kappa: 0.6398, kb_relative_information_score: 9348.6031, mean_absolute_error: 0.167, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8468, predictive_accuracy: 0.833, prior_entropy: 0.9135, recall: 0.833, relative_absolute_error: 0.3785, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4087, root_relative_squared_error: 0.87,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3608, f_measure: 0.4413, kappa: -0.2973, kb_relative_information_score: -4337.0371, mean_absolute_error: 0.5359, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4222, predictive_accuracy: 0.4641, prior_entropy: 0.9135, recall: 0.4641, relative_absolute_error: 1.2144, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.732, root_relative_squared_error: 1.5585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.8901, kappa: 0.7527, kb_relative_information_score: 11439.3985, mean_absolute_error: 0.1106, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8914, predictive_accuracy: 0.8894, prior_entropy: 0.9135, recall: 0.8894, relative_absolute_error: 0.2508, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3326, root_relative_squared_error: 0.7082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8359, f_measure: 0.8358, kappa: 0.6389, kb_relative_information_score: 9327.1223, mean_absolute_error: 0.1676, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8466, predictive_accuracy: 0.8324, prior_entropy: 0.9135, recall: 0.8324, relative_absolute_error: 0.3798, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4094, root_relative_squared_error: 0.8715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8355, f_measure: 0.8355, kappa: 0.6383, kb_relative_information_score: 9319.9621, mean_absolute_error: 0.1678, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8462, predictive_accuracy: 0.8322, prior_entropy: 0.9135, recall: 0.8322, relative_absolute_error: 0.3802, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4096, root_relative_squared_error: 0.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.76, f_measure: 0.7933, kappa: 0.5281, kb_relative_information_score: 7940.419, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7923, predictive_accuracy: 0.795, prior_entropy: 0.9135, recall: 0.795, relative_absolute_error: 0.4645, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4527, root_relative_squared_error: 0.9638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8389, f_measure: 0.8401, kappa: 0.6473, kb_relative_information_score: 9498.9685, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8494, predictive_accuracy: 0.8371, prior_entropy: 0.9135, recall: 0.8371, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8786, f_measure: 0.8865, kappa: 0.7451, kb_relative_information_score: 11303.3536, mean_absolute_error: 0.1143, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8882, predictive_accuracy: 0.8857, prior_entropy: 0.9135, recall: 0.8857, relative_absolute_error: 0.2591, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3381, root_relative_squared_error: 0.7198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8384, f_measure: 0.8395, kappa: 0.6462, kb_relative_information_score: 9477.4878, mean_absolute_error: 0.1635, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8489, predictive_accuracy: 0.8365, prior_entropy: 0.9135, recall: 0.8365, relative_absolute_error: 0.3706, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8609,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8367, f_measure: 0.8368, kappa: 0.641, kb_relative_information_score: 9370.0839, mean_absolute_error: 0.1664, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8473, predictive_accuracy: 0.8336, prior_entropy: 0.9135, recall: 0.8336, relative_absolute_error: 0.3772, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4079, root_relative_squared_error: 0.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7227, f_measure: 0.7695, kappa: 0.4673, kb_relative_information_score: 7231.5534, mean_absolute_error: 0.2241, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7693, predictive_accuracy: 0.7759, prior_entropy: 0.9135, recall: 0.7759, relative_absolute_error: 0.5078, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4733, root_relative_squared_error: 1.0078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7185, f_measure: 0.7736, kappa: 0.4729, kb_relative_information_score: 7568.0856, mean_absolute_error: 0.215, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.78, predictive_accuracy: 0.785, prior_entropy: 0.9135, recall: 0.785, relative_absolute_error: 0.4872, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7188, f_measure: 0.7742, kappa: 0.4742, kb_relative_information_score: 7601.5001, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7813, predictive_accuracy: 0.7859, prior_entropy: 0.9135, recall: 0.7859, relative_absolute_error: 0.4852, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4627, root_relative_squared_error: 0.9851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8602, f_measure: 0.8674, kappa: 0.7035, kb_relative_information_score: 10573.0073, mean_absolute_error: 0.134, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8706, predictive_accuracy: 0.866, prior_entropy: 0.9135, recall: 0.866, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3661, root_relative_squared_error: 0.7793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6867, f_measure: 0.7234, kappa: 0.3733, kb_relative_information_score: 5281.5764, mean_absolute_error: 0.2766, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7235, predictive_accuracy: 0.7234, prior_entropy: 0.9135, recall: 0.7234, relative_absolute_error: 0.6269, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5259, root_relative_squared_error: 1.1197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8451, f_measure: 0.8469, kappa: 0.6614, kb_relative_information_score: 9761.5113, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.855, predictive_accuracy: 0.8441, prior_entropy: 0.9135, recall: 0.8441, relative_absolute_error: 0.3532, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3948, root_relative_squared_error: 0.8405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.616, f_measure: 0.6603, kappa: 0.2314, kb_relative_information_score: 2923.4647, mean_absolute_error: 0.3402, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6609, predictive_accuracy: 0.6598, prior_entropy: 0.9135, recall: 0.6598, relative_absolute_error: 0.7709, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5832, root_relative_squared_error: 1.2417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5455, kappa: 0.0107, kb_relative_information_score: 3450.9371, mean_absolute_error: 0.326, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7806, predictive_accuracy: 0.674, prior_entropy: 0.9135, recall: 0.674, relative_absolute_error: 0.7387, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5709, root_relative_squared_error: 1.2155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6556, f_measure: 0.6968, kappa: 0.3119, kb_relative_information_score: 4307.7813, mean_absolute_error: 0.3029, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6964, predictive_accuracy: 0.6971, prior_entropy: 0.9135, recall: 0.6971, relative_absolute_error: 0.6864, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5503, root_relative_squared_error: 1.1717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.8425, kappa: 0.6486, kb_relative_information_score: 9625.4664, mean_absolute_error: 0.1595, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8468, predictive_accuracy: 0.8405, prior_entropy: 0.9135, recall: 0.8405, relative_absolute_error: 0.3616, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3994, root_relative_squared_error: 0.8504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8591, f_measure: 0.866, kappa: 0.7004, kb_relative_information_score: 10515.7252, mean_absolute_error: 0.1355, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8694, predictive_accuracy: 0.8645, prior_entropy: 0.9135, recall: 0.8645, relative_absolute_error: 0.3072, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3682, root_relative_squared_error: 0.7838,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8729, kappa: 0.715, kb_relative_information_score: 10785.4283, mean_absolute_error: 0.1283, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8753, predictive_accuracy: 0.8717, prior_entropy: 0.9135, recall: 0.8717, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3768, f_measure: 0.4501, kappa: -0.2463, kb_relative_information_score: -4859.736, mean_absolute_error: 0.55, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4501, predictive_accuracy: 0.45, prior_entropy: 0.9135, recall: 0.45, relative_absolute_error: 1.2464, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7416, root_relative_squared_error: 1.5788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.8878, kappa: 0.7475, kb_relative_information_score: 11355.8622, mean_absolute_error: 0.1129, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8891, predictive_accuracy: 0.8871, prior_entropy: 0.9135, recall: 0.8871, relative_absolute_error: 0.2559, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.336, root_relative_squared_error: 0.7154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8391, f_measure: 0.8405, kappa: 0.6481, kb_relative_information_score: 9515.6758, mean_absolute_error: 0.1625, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8496, predictive_accuracy: 0.8375, prior_entropy: 0.9135, recall: 0.8375, relative_absolute_error: 0.3683, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4031, root_relative_squared_error: 0.8582,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8379, f_measure: 0.84, kappa: 0.6467, kb_relative_information_score: 9498.9685, mean_absolute_error: 0.1629, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8487, predictive_accuracy: 0.8371, prior_entropy: 0.9135, recall: 0.8371, relative_absolute_error: 0.3693, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4037, root_relative_squared_error: 0.8594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5567, f_measure: 0.6088, kappa: 0.1135, kb_relative_information_score: 1028.383, mean_absolute_error: 0.3913, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6088, predictive_accuracy: 0.6087, prior_entropy: 0.9135, recall: 0.6087, relative_absolute_error: 0.8867, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6255, root_relative_squared_error: 1.3317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3175, f_measure: 0.3979, kappa: -0.3654, kb_relative_information_score: -6778.6852, mean_absolute_error: 0.6017, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.3975, predictive_accuracy: 0.3983, prior_entropy: 0.9135, recall: 0.3983, relative_absolute_error: 1.3636, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7757, root_relative_squared_error: 1.6514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8798, f_measure: 0.8885, kappa: 0.7492, kb_relative_information_score: 11382.1165, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8899, predictive_accuracy: 0.8878, prior_entropy: 0.9135, recall: 0.8878, relative_absolute_error: 0.2543, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3349, root_relative_squared_error: 0.7131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.895, f_measure: 0.9055, kappa: 0.7864, kb_relative_information_score: 12031.3132, mean_absolute_error: 0.0947, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.9058, predictive_accuracy: 0.9053, prior_entropy: 0.9135, recall: 0.9053, relative_absolute_error: 0.2146, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3077, root_relative_squared_error: 0.6551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7225, f_measure: 0.7547, kappa: 0.4444, kb_relative_information_score: 6436.7648, mean_absolute_error: 0.2455, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7548, predictive_accuracy: 0.7545, prior_entropy: 0.9135, recall: 0.7545, relative_absolute_error: 0.5563, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4955, root_relative_squared_error: 1.0548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.8625, kappa: 0.6937, kb_relative_information_score: 10374.9068, mean_absolute_error: 0.1393, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8672, predictive_accuracy: 0.8607, prior_entropy: 0.9135, recall: 0.8607, relative_absolute_error: 0.3158, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8406, f_measure: 0.8425, kappa: 0.6522, kb_relative_information_score: 9596.8254, mean_absolute_error: 0.1603, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8511, predictive_accuracy: 0.8397, prior_entropy: 0.9135, recall: 0.8397, relative_absolute_error: 0.3633, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4004, root_relative_squared_error: 0.8524,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.502, f_measure: 0.5424, kappa: 0.0053, kb_relative_information_score: 3400.8153, mean_absolute_error: 0.3273, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.78, predictive_accuracy: 0.6727, prior_entropy: 0.9135, recall: 0.6727, relative_absolute_error: 0.7418, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5721, root_relative_squared_error: 1.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.8733, kappa: 0.7157, kb_relative_information_score: 10802.1355, mean_absolute_error: 0.1278, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8755, predictive_accuracy: 0.8722, prior_entropy: 0.9135, recall: 0.8722, relative_absolute_error: 0.2897, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3575, root_relative_squared_error: 0.7612,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7184, f_measure: 0.7814, kappa: 0.4891, kb_relative_information_score: 8074.0771, mean_absolute_error: 0.2014, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8045, predictive_accuracy: 0.7986, prior_entropy: 0.9135, recall: 0.7986, relative_absolute_error: 0.4563, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4487, root_relative_squared_error: 0.9553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8507, f_measure: 0.8524, kappa: 0.6733, kb_relative_information_score: 9973.9323, mean_absolute_error: 0.1501, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8599, predictive_accuracy: 0.8499, prior_entropy: 0.9135, recall: 0.8499, relative_absolute_error: 0.3403, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.825,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.84, kappa: 0.6459, kb_relative_information_score: 9506.1288, mean_absolute_error: 0.1628, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8477, predictive_accuracy: 0.8372, prior_entropy: 0.9135, recall: 0.8372, relative_absolute_error: 0.3688, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4034, root_relative_squared_error: 0.8589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8342, f_measure: 0.8337, kappa: 0.6348, kb_relative_information_score: 9248.3595, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.845, predictive_accuracy: 0.8303, prior_entropy: 0.9135, recall: 0.8303, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5682, f_measure: 0.6189, kappa: 0.1363, kb_relative_information_score: 1403.1032, mean_absolute_error: 0.3812, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6189, predictive_accuracy: 0.6188, prior_entropy: 0.9135, recall: 0.6188, relative_absolute_error: 0.8638, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6174, root_relative_squared_error: 1.3144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8366, f_measure: 0.8459, kappa: 0.6558, kb_relative_information_score: 9759.1246, mean_absolute_error: 0.1559, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8498, predictive_accuracy: 0.8441, prior_entropy: 0.9135, recall: 0.8441, relative_absolute_error: 0.3534, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.8407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8374, f_measure: 0.8377, kappa: 0.6428, kb_relative_information_score: 9405.8852, mean_absolute_error: 0.1655, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8479, predictive_accuracy: 0.8345, prior_entropy: 0.9135, recall: 0.8345, relative_absolute_error: 0.375, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4068, root_relative_squared_error: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8356, f_measure: 0.8455, kappa: 0.6546, kb_relative_information_score: 9747.1908, mean_absolute_error: 0.1563, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8491, predictive_accuracy: 0.8437, prior_entropy: 0.9135, recall: 0.8437, relative_absolute_error: 0.3541, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8416,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8363, f_measure: 0.8364, kappa: 0.64, kb_relative_information_score: 9350.9899, mean_absolute_error: 0.1669, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8469, predictive_accuracy: 0.8331, prior_entropy: 0.9135, recall: 0.8331, relative_absolute_error: 0.3783, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4086, root_relative_squared_error: 0.8699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.8628, kappa: 0.6942, kb_relative_information_score: 10384.4538, mean_absolute_error: 0.1391, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8674, predictive_accuracy: 0.8609, prior_entropy: 0.9135, recall: 0.8609, relative_absolute_error: 0.3152, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8349, f_measure: 0.8344, kappa: 0.6361, kb_relative_information_score: 9272.227, mean_absolute_error: 0.1691, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8456, predictive_accuracy: 0.8309, prior_entropy: 0.9135, recall: 0.8309, relative_absolute_error: 0.3831, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4112, root_relative_squared_error: 0.8754,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6206, f_measure: 0.6652, kappa: 0.2412, kb_relative_information_score: 3123.952, mean_absolute_error: 0.3348, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6652, predictive_accuracy: 0.6652, prior_entropy: 0.9135, recall: 0.6652, relative_absolute_error: 0.7587, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5786, root_relative_squared_error: 1.2318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.701, f_measure: 0.7495, kappa: 0.4214, kb_relative_information_score: 6505.9806, mean_absolute_error: 0.2436, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7484, predictive_accuracy: 0.7564, prior_entropy: 0.9135, recall: 0.7564, relative_absolute_error: 0.5521, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4936, root_relative_squared_error: 1.0508,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.673, f_measure: 0.7123, kappa: 0.347, kb_relative_information_score: 4887.7622, mean_absolute_error: 0.2872, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7119, predictive_accuracy: 0.7128, prior_entropy: 0.9135, recall: 0.7128, relative_absolute_error: 0.651, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5359, root_relative_squared_error: 1.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8375, f_measure: 0.8431, kappa: 0.6514, kb_relative_information_score: 9632.6267, mean_absolute_error: 0.1593, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8492, predictive_accuracy: 0.8407, prior_entropy: 0.9135, recall: 0.8407, relative_absolute_error: 0.3611, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3992, root_relative_squared_error: 0.8499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3292, f_measure: 0.4081, kappa: -0.3418, kb_relative_information_score: -6408.7385, mean_absolute_error: 0.5917, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4079, predictive_accuracy: 0.4083, prior_entropy: 0.9135, recall: 0.4083, relative_absolute_error: 1.341, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7692, root_relative_squared_error: 1.6377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8336, f_measure: 0.8413, kappa: 0.6466, kb_relative_information_score: 9575.3446, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8464, predictive_accuracy: 0.8391, prior_entropy: 0.9135, recall: 0.8391, relative_absolute_error: 0.3646, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.854,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6931, f_measure: 0.7302, kappa: 0.3875, kb_relative_information_score: 5548.8927, mean_absolute_error: 0.2694, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7297, predictive_accuracy: 0.7306, prior_entropy: 0.9135, recall: 0.7306, relative_absolute_error: 0.6106, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.519, root_relative_squared_error: 1.1051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 3353.0802, mean_absolute_error: 0.3286, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, predictive_accuracy: 0.6714, prior_entropy: 0.9135, recall: 0.6714, relative_absolute_error: 0.7447, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5732, root_relative_squared_error: 1.2204,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8378, f_measure: 0.8383, kappa: 0.6439, kb_relative_information_score: 9427.366, mean_absolute_error: 0.1649, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8483, predictive_accuracy: 0.8351, prior_entropy: 0.9135, recall: 0.8351, relative_absolute_error: 0.3737, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.406, root_relative_squared_error: 0.8645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8343, f_measure: 0.8337, kappa: 0.6348, kb_relative_information_score: 9248.3595, mean_absolute_error: 0.1697, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8451, predictive_accuracy: 0.8303, prior_entropy: 0.9135, recall: 0.8303, relative_absolute_error: 0.3846, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4119, root_relative_squared_error: 0.877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8559, f_measure: 0.863, kappa: 0.6939, kb_relative_information_score: 10403.5478, mean_absolute_error: 0.1386, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8666, predictive_accuracy: 0.8614, prior_entropy: 0.9135, recall: 0.8614, relative_absolute_error: 0.314, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3722, root_relative_squared_error: 0.7925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.8169, kappa: 0.5846, kb_relative_information_score: 8759.0752, mean_absolute_error: 0.1829, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8167, predictive_accuracy: 0.8171, prior_entropy: 0.9135, recall: 0.8171, relative_absolute_error: 0.4145, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8577, f_measure: 0.8615, kappa: 0.692, kb_relative_information_score: 10331.9452, mean_absolute_error: 0.1405, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8669, predictive_accuracy: 0.8595, prior_entropy: 0.9135, recall: 0.8595, relative_absolute_error: 0.3184, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3748, root_relative_squared_error: 0.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8283, f_measure: 0.8529, kappa: 0.6647, kb_relative_information_score: 10121.911, mean_absolute_error: 0.1462, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8524, predictive_accuracy: 0.8538, prior_entropy: 0.9135, recall: 0.8538, relative_absolute_error: 0.3312, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3823, root_relative_squared_error: 0.8139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.8478, kappa: 0.6633, kb_relative_information_score: 9797.3126, mean_absolute_error: 0.1549, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8556, predictive_accuracy: 0.8451, prior_entropy: 0.9135, recall: 0.8451, relative_absolute_error: 0.3511, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3936, root_relative_squared_error: 0.8379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8703, f_measure: 0.8807, kappa: 0.7313, kb_relative_information_score: 11090.9326, mean_absolute_error: 0.12, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8819, predictive_accuracy: 0.88, prior_entropy: 0.9135, recall: 0.88, relative_absolute_error: 0.272, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3465, root_relative_squared_error: 0.7376,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6421, f_measure: 0.684, kappa: 0.2841, kb_relative_information_score: 3816.1102, mean_absolute_error: 0.3161, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6841, predictive_accuracy: 0.6839, prior_entropy: 0.9135, recall: 0.6839, relative_absolute_error: 0.7164, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5622, root_relative_squared_error: 1.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8729, f_measure: 0.883, kappa: 0.7366, kb_relative_information_score: 11179.2425, mean_absolute_error: 0.1177, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8842, predictive_accuracy: 0.8823, prior_entropy: 0.9135, recall: 0.8823, relative_absolute_error: 0.2666, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.343, root_relative_squared_error: 0.7303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.6221, kappa: 0.1436, kb_relative_information_score: 1520.0541, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6221, predictive_accuracy: 0.622, prior_entropy: 0.9135, recall: 0.622, relative_absolute_error: 0.8567, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6148, root_relative_squared_error: 1.3089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8308, f_measure: 0.83, kappa: 0.6272, kb_relative_information_score: 9105.1543, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.842, predictive_accuracy: 0.8264, prior_entropy: 0.9135, recall: 0.8264, relative_absolute_error: 0.3933, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4166, root_relative_squared_error: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8563, f_measure: 0.8597, kappa: 0.6883, kb_relative_information_score: 10262.7294, mean_absolute_error: 0.1424, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8655, predictive_accuracy: 0.8576, prior_entropy: 0.9135, recall: 0.8576, relative_absolute_error: 0.3226, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.8033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5984, f_measure: 0.6459, kappa: 0.197, kb_relative_information_score: 2412.6996, mean_absolute_error: 0.3539, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6457, predictive_accuracy: 0.6461, prior_entropy: 0.9135, recall: 0.6461, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5949, root_relative_squared_error: 1.2666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7007, f_measure: 0.736, kappa: 0.4015, kb_relative_information_score: 5749.38, mean_absolute_error: 0.264, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7359, predictive_accuracy: 0.736, prior_entropy: 0.9135, recall: 0.736, relative_absolute_error: 0.5983, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5138, root_relative_squared_error: 1.0939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.7498, kappa: 0.4219, kb_relative_information_score: 6525.0746, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7489, predictive_accuracy: 0.7569, prior_entropy: 0.9135, recall: 0.7569, relative_absolute_error: 0.5509, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4931, root_relative_squared_error: 1.0497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8444, f_measure: 0.8458, kappa: 0.6594, kb_relative_information_score: 9720.9365, mean_absolute_error: 0.157, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8543, predictive_accuracy: 0.843, prior_entropy: 0.9135, recall: 0.843, relative_absolute_error: 0.3557, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3962, root_relative_squared_error: 0.8435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8463, f_measure: 0.8529, kappa: 0.6722, kb_relative_information_score: 10014.5071, mean_absolute_error: 0.1491, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8576, predictive_accuracy: 0.8509, prior_entropy: 0.9135, recall: 0.8509, relative_absolute_error: 0.3378, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3861, root_relative_squared_error: 0.8219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6035, f_measure: 0.6507, kappa: 0.2074, kb_relative_information_score: 2598.8663, mean_absolute_error: 0.3489, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6503, predictive_accuracy: 0.6511, prior_entropy: 0.9135, recall: 0.6511, relative_absolute_error: 0.7908, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5907, root_relative_squared_error: 1.2576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6967, f_measure: 0.7319, kappa: 0.3928, kb_relative_information_score: 5591.8543, mean_absolute_error: 0.2683, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.7321, predictive_accuracy: 0.7317, prior_entropy: 0.9135, recall: 0.7317, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.5179, root_relative_squared_error: 1.1027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.8684, kappa: 0.705, kb_relative_information_score: 10613.5821, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.871, predictive_accuracy: 0.8671, prior_entropy: 0.9135, recall: 0.8671, relative_absolute_error: 0.3012, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3646, root_relative_squared_error: 0.7762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5611, f_measure: 0.6127, kappa: 0.1222, kb_relative_information_score: 1176.3617, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6127, predictive_accuracy: 0.6127, prior_entropy: 0.9135, recall: 0.6127, relative_absolute_error: 0.8777, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6223, root_relative_squared_error: 1.3249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.849, f_measure: 0.851, kappa: 0.6702, kb_relative_information_score: 9921.4238, mean_absolute_error: 0.1516, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8585, predictive_accuracy: 0.8484, prior_entropy: 0.9135, recall: 0.8484, relative_absolute_error: 0.3435, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.3893, root_relative_squared_error: 0.8288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.3584, f_measure: 0.4337, kappa: -0.2832, kb_relative_information_score: -5468.3579, mean_absolute_error: 0.5664, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.4338, predictive_accuracy: 0.4336, prior_entropy: 0.9135, recall: 0.4336, relative_absolute_error: 1.2835, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.7526, root_relative_squared_error: 1.6022,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.836, f_measure: 0.8366, kappa: 0.6402, kb_relative_information_score: 9362.9236, mean_absolute_error: 0.1666, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8467, predictive_accuracy: 0.8334, prior_entropy: 0.9135, recall: 0.8334, relative_absolute_error: 0.3776, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4082, root_relative_squared_error: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5698, f_measure: 0.6217, kappa: 0.1404, kb_relative_information_score: 1543.9216, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.6207, predictive_accuracy: 0.6226, prior_entropy: 0.9135, recall: 0.6226, relative_absolute_error: 0.8552, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.6143, root_relative_squared_error: 1.3078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8329, f_measure: 0.8318, kappa: 0.6309, kb_relative_information_score: 9169.5967, mean_absolute_error: 0.1718, mean_prior_absolute_error: 0.4412, number_of_instances: 15545, precision: 0.8438, predictive_accuracy: 0.8282, prior_entropy: 0.9135, recall: 0.8282, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4697, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8825,

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

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs