OpenML
Supervised Classification on higgs

Supervised Classification on higgs

Task 146606 Supervised Classification higgs 14279 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

14279 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: 0.7971, f_measure: 0.7194, kappa: 0.4369, kb_relative_information_score: 26749.6427, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7194, predictive_accuracy: 0.7194, prior_entropy: 0.9976, recall: 0.7194, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7201, kappa: 0.4383, kb_relative_information_score: 26766.0997, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7547, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7627, f_measure: 0.6883, kappa: 0.374, kb_relative_information_score: 3146.9856, mean_absolute_error: 0.487, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6888, predictive_accuracy: 0.6892, prior_entropy: 0.9976, recall: 0.6892, relative_absolute_error: 0.9772, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4877, root_relative_squared_error: 0.9769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7208, kappa: 0.4395, kb_relative_information_score: 23843.6674, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7208, predictive_accuracy: 0.7211, prior_entropy: 0.9976, recall: 0.7211, relative_absolute_error: 0.7872, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4909, f_measure: 0.4111, kappa: 0.0115, kb_relative_information_score: 68.0836, mean_absolute_error: 0.4981, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5269, predictive_accuracy: 0.5309, prior_entropy: 0.9976, recall: 0.5309, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7933, f_measure: 0.7152, kappa: 0.4281, kb_relative_information_score: 20861.3816, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7155, predictive_accuracy: 0.7157, prior_entropy: 0.9976, recall: 0.7157, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.8747,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3657, kappa: 0, kb_relative_information_score: 5.4051, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5151, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.7128, kappa: 0.4236, kb_relative_information_score: 27876.8027, mean_absolute_error: 0.369, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7128, predictive_accuracy: 0.7129, prior_entropy: 0.9976, recall: 0.7129, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.8643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7839, f_measure: 0.7114, kappa: 0.4208, kb_relative_information_score: 18481.9063, mean_absolute_error: 0.4188, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7114, predictive_accuracy: 0.7116, prior_entropy: 0.9976, recall: 0.7116, relative_absolute_error: 0.8404, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4438, root_relative_squared_error: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.7175, kappa: 0.4328, kb_relative_information_score: 22379.9365, mean_absolute_error: 0.3999, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7176, predictive_accuracy: 0.7179, prior_entropy: 0.9976, recall: 0.7179, relative_absolute_error: 0.8025, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.8683,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7559, f_measure: 0.7006, kappa: 0.399, kb_relative_information_score: 4631.7259, mean_absolute_error: 0.4806, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7006, predictive_accuracy: 0.7008, prior_entropy: 0.9976, recall: 0.7008, relative_absolute_error: 0.9643, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4838, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7327, f_measure: 0.652, kappa: 0.3052, kb_relative_information_score: 2569.8794, mean_absolute_error: 0.4891, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6608, predictive_accuracy: 0.6578, prior_entropy: 0.9976, recall: 0.6578, relative_absolute_error: 0.9814, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4898, root_relative_squared_error: 0.9811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7206, kappa: 0.4393, kb_relative_information_score: 26330.5212, mean_absolute_error: 0.3787, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7206, prior_entropy: 0.9976, recall: 0.7206, relative_absolute_error: 0.7599, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7949, f_measure: 0.7161, kappa: 0.4304, kb_relative_information_score: 27451.412, mean_absolute_error: 0.372, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7161, predictive_accuracy: 0.7162, prior_entropy: 0.9976, recall: 0.7162, relative_absolute_error: 0.7464, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.8598,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6946, f_measure: 0.6455, kappa: 0.29, kb_relative_information_score: 13183.0382, mean_absolute_error: 0.4413, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6499, predictive_accuracy: 0.6494, prior_entropy: 0.9976, recall: 0.6494, relative_absolute_error: 0.8855, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7196, kappa: 0.4371, kb_relative_information_score: 23927.8639, mean_absolute_error: 0.3918, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7196, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.8624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7189, kappa: 0.4358, kb_relative_information_score: 26463.3384, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7188, predictive_accuracy: 0.7189, prior_entropy: 0.9976, recall: 0.7189, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4293, root_relative_squared_error: 0.8599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7988, f_measure: 0.7204, kappa: 0.4389, kb_relative_information_score: 27017.418, mean_absolute_error: 0.3749, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.7522, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.8567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.721, kappa: 0.4401, kb_relative_information_score: 26652.4786, mean_absolute_error: 0.3769, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.721, prior_entropy: 0.9976, recall: 0.721, relative_absolute_error: 0.7563, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6708, f_measure: 0.6275, kappa: 0.2521, kb_relative_information_score: 11258.1201, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6274, predictive_accuracy: 0.6279, prior_entropy: 0.9976, recall: 0.6279, relative_absolute_error: 0.9024, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4773, root_relative_squared_error: 0.9562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7198, kappa: 0.4377, kb_relative_information_score: 25969.0116, mean_absolute_error: 0.3807, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7197, predictive_accuracy: 0.7198, prior_entropy: 0.9976, recall: 0.7198, relative_absolute_error: 0.7638, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.6072, kappa: 0.212, kb_relative_information_score: 318.9089, mean_absolute_error: 0.4972, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6073, predictive_accuracy: 0.6071, prior_entropy: 0.9976, recall: 0.6071, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4973, root_relative_squared_error: 0.9963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7909, f_measure: 0.713, kappa: 0.4239, kb_relative_information_score: 27769.8319, mean_absolute_error: 0.3698, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7129, predictive_accuracy: 0.7131, prior_entropy: 0.9976, recall: 0.7131, relative_absolute_error: 0.7419, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4311, root_relative_squared_error: 0.8637,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8003, f_measure: 0.7214, kappa: 0.4409, kb_relative_information_score: 26951.276, mean_absolute_error: 0.3753, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7214, predictive_accuracy: 0.7215, prior_entropy: 0.9976, recall: 0.7215, relative_absolute_error: 0.7531, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5412, f_measure: 0.5207, kappa: 0.0489, kb_relative_information_score: 1016.12, mean_absolute_error: 0.4943, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.528, predictive_accuracy: 0.5334, prior_entropy: 0.9976, recall: 0.5334, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.7187, kappa: 0.4355, kb_relative_information_score: 26601.2234, mean_absolute_error: 0.377, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7187, predictive_accuracy: 0.7187, prior_entropy: 0.9976, recall: 0.7187, relative_absolute_error: 0.7564, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5013, f_measure: 0.3656, kappa: 0.0001, kb_relative_information_score: 4.7099, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6565, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8007, f_measure: 0.7217, kappa: 0.4414, kb_relative_information_score: 26604.0376, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7216, predictive_accuracy: 0.7217, prior_entropy: 0.9976, recall: 0.7217, relative_absolute_error: 0.7572, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4271, root_relative_squared_error: 0.8556,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7185, kappa: 0.4347, kb_relative_information_score: 23174.3788, mean_absolute_error: 0.3959, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7186, predictive_accuracy: 0.7189, prior_entropy: 0.9976, recall: 0.7189, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4316, root_relative_squared_error: 0.8646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7999, f_measure: 0.7202, kappa: 0.4384, kb_relative_information_score: 27400.0807, mean_absolute_error: 0.3728, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7202, predictive_accuracy: 0.7203, prior_entropy: 0.9976, recall: 0.7203, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7959, f_measure: 0.7212, kappa: 0.4403, kb_relative_information_score: 5607.517, mean_absolute_error: 0.4771, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7212, predictive_accuracy: 0.7214, prior_entropy: 0.9976, recall: 0.7214, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.9599,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.72, kappa: 0.4382, kb_relative_information_score: 26529.5821, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.7201, prior_entropy: 0.9976, recall: 0.7201, relative_absolute_error: 0.7574, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7172, f_measure: 0.6602, kappa: 0.3191, kb_relative_information_score: 15725.4038, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6646, predictive_accuracy: 0.6636, prior_entropy: 0.9976, recall: 0.6636, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4623, root_relative_squared_error: 0.9262,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5024, f_measure: 0.4549, kappa: -0.0118, kb_relative_information_score: -140.2719, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4922, predictive_accuracy: 0.5128, prior_entropy: 0.9976, recall: 0.5128, relative_absolute_error: 1.0009, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4998, root_relative_squared_error: 1.0012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.7205, kappa: 0.4389, kb_relative_information_score: 24934.294, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.7756, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4289, root_relative_squared_error: 0.8591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.7207, kappa: 0.4395, kb_relative_information_score: 26920.8924, mean_absolute_error: 0.3755, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7207, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.7534, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7964, f_measure: 0.7177, kappa: 0.433, kb_relative_information_score: 22198.6319, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7179, predictive_accuracy: 0.7182, prior_entropy: 0.9976, recall: 0.7182, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.8688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7966, f_measure: 0.7173, kappa: 0.4325, kb_relative_information_score: 22976.8716, mean_absolute_error: 0.3968, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7173, predictive_accuracy: 0.7176, prior_entropy: 0.9976, recall: 0.7176, relative_absolute_error: 0.7961, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.3817, kappa: -0.0031, kb_relative_information_score: -46.5832, mean_absolute_error: 0.4985, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.4865, predictive_accuracy: 0.5258, prior_entropy: 0.9976, recall: 0.5258, relative_absolute_error: 1.0003, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4993, root_relative_squared_error: 1.0003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.7217, kappa: 0.4414, kb_relative_information_score: 26202.7207, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7216, predictive_accuracy: 0.7217, prior_entropy: 0.9976, recall: 0.7217, relative_absolute_error: 0.7616, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7143, f_measure: 0.6717, kappa: 0.3409, kb_relative_information_score: 7389.5364, mean_absolute_error: 0.4684, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6716, predictive_accuracy: 0.6718, prior_entropy: 0.9976, recall: 0.6718, relative_absolute_error: 0.9399, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4777, root_relative_squared_error: 0.9569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8018, f_measure: 0.7222, kappa: 0.4424, kb_relative_information_score: 26068.9636, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7222, predictive_accuracy: 0.7224, prior_entropy: 0.9976, recall: 0.7224, relative_absolute_error: 0.7635, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.8557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0912, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7842, f_measure: 0.7088, kappa: 0.4156, kb_relative_information_score: 27215.6706, mean_absolute_error: 0.3722, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7088, predictive_accuracy: 0.7089, prior_entropy: 0.9976, recall: 0.7089, relative_absolute_error: 0.7469, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4345, root_relative_squared_error: 0.8704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7206, kappa: 0.4391, kb_relative_information_score: 24907.4968, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7208, prior_entropy: 0.9976, recall: 0.7208, relative_absolute_error: 0.776, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.8588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7406, f_measure: 0.6764, kappa: 0.3523, kb_relative_information_score: 5274.0236, mean_absolute_error: 0.4786, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6778, predictive_accuracy: 0.6762, prior_entropy: 0.9976, recall: 0.6762, relative_absolute_error: 0.9602, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4808, root_relative_squared_error: 0.9631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7211, kappa: 0.4403, kb_relative_information_score: 26869.0974, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.721, predictive_accuracy: 0.7211, prior_entropy: 0.9976, recall: 0.7211, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.8564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7952, f_measure: 0.7166, kappa: 0.4313, kb_relative_information_score: 27526.7735, mean_absolute_error: 0.3716, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7166, predictive_accuracy: 0.7167, prior_entropy: 0.9976, recall: 0.7167, relative_absolute_error: 0.7457, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8595,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7985, f_measure: 0.7199, kappa: 0.4379, kb_relative_information_score: 26476.0281, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7199, predictive_accuracy: 0.7199, prior_entropy: 0.9976, recall: 0.7199, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4282, root_relative_squared_error: 0.8578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7204, kappa: 0.4388, kb_relative_information_score: 26309.9646, mean_absolute_error: 0.3789, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7203, predictive_accuracy: 0.7204, prior_entropy: 0.9976, recall: 0.7204, relative_absolute_error: 0.7602, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4276, root_relative_squared_error: 0.8566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6806, f_measure: 0.6374, kappa: 0.2749, kb_relative_information_score: 11500.2225, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6435, predictive_accuracy: 0.6424, prior_entropy: 0.9976, recall: 0.6424, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7658, f_measure: 0.6943, kappa: 0.3861, kb_relative_information_score: -386.5283, mean_absolute_error: 0.4997, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6944, predictive_accuracy: 0.6947, prior_entropy: 0.9976, recall: 0.6947, relative_absolute_error: 1.0026, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4997, root_relative_squared_error: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8027, f_measure: 0.7227, kappa: 0.4434, kb_relative_information_score: 26624.2878, mean_absolute_error: 0.3775, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7227, predictive_accuracy: 0.7229, prior_entropy: 0.9976, recall: 0.7229, relative_absolute_error: 0.7575, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4263, root_relative_squared_error: 0.8541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.722, f_measure: 0.6468, kappa: 0.3206, kb_relative_information_score: 387.2401, mean_absolute_error: 0.4969, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.684, predictive_accuracy: 0.6544, prior_entropy: 0.9976, recall: 0.6544, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.497, root_relative_squared_error: 0.9957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7994, f_measure: 0.7204, kappa: 0.4389, kb_relative_information_score: 25412.8781, mean_absolute_error: 0.3838, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.7701, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4286, root_relative_squared_error: 0.8587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.6966, kappa: 0.3911, kb_relative_information_score: 5667.8656, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6966, predictive_accuracy: 0.6965, prior_entropy: 0.9976, recall: 0.6965, relative_absolute_error: 0.9568, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4792, root_relative_squared_error: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7992, f_measure: 0.72, kappa: 0.4381, kb_relative_information_score: 26479.6124, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.72, predictive_accuracy: 0.72, prior_entropy: 0.9976, recall: 0.72, relative_absolute_error: 0.7581, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4279, root_relative_squared_error: 0.8572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7819, f_measure: 0.7109, kappa: 0.4196, kb_relative_information_score: 3555.4563, mean_absolute_error: 0.4853, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7109, predictive_accuracy: 0.7112, prior_entropy: 0.9976, recall: 0.7112, relative_absolute_error: 0.9738, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8001, f_measure: 0.7212, kappa: 0.4403, kb_relative_information_score: 24345.3026, mean_absolute_error: 0.3897, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7212, predictive_accuracy: 0.7215, prior_entropy: 0.9976, recall: 0.7215, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4296, root_relative_squared_error: 0.8606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8022, f_measure: 0.7221, kappa: 0.4423, kb_relative_information_score: 26647.9347, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7221, predictive_accuracy: 0.7223, prior_entropy: 0.9976, recall: 0.7223, relative_absolute_error: 0.757, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4265, root_relative_squared_error: 0.8544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4818, f_measure: 0.3658, kappa: 0, kb_relative_information_score: -13.4994, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5049, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.723, f_measure: 0.6879, kappa: 0.3734, kb_relative_information_score: 5887.9353, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6878, predictive_accuracy: 0.6881, prior_entropy: 0.9976, recall: 0.6881, relative_absolute_error: 0.9531, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4813, root_relative_squared_error: 0.9641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.7148, kappa: 0.4273, kb_relative_information_score: 20799.4604, mean_absolute_error: 0.408, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.715, predictive_accuracy: 0.7153, prior_entropy: 0.9976, recall: 0.7153, relative_absolute_error: 0.8187, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4368, root_relative_squared_error: 0.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.755, f_measure: 0.6813, kappa: 0.3601, kb_relative_information_score: 573.0335, mean_absolute_error: 0.4963, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6823, predictive_accuracy: 0.6825, prior_entropy: 0.9976, recall: 0.6825, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4964, root_relative_squared_error: 0.9943,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7849, f_measure: 0.7091, kappa: 0.416, kb_relative_information_score: 697.817, mean_absolute_error: 0.4959, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7092, predictive_accuracy: 0.7095, prior_entropy: 0.9976, recall: 0.7095, relative_absolute_error: 0.995, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4959, root_relative_squared_error: 0.9935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8005, f_measure: 0.7207, kappa: 0.4394, kb_relative_information_score: 27577.5125, mean_absolute_error: 0.3719, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7206, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.7462, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.5286, kappa: 0.0591, kb_relative_information_score: 1381.2921, mean_absolute_error: 0.4928, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5325, predictive_accuracy: 0.5367, prior_entropy: 0.9976, recall: 0.5367, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4984, root_relative_squared_error: 0.9984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7936, f_measure: 0.7161, kappa: 0.4301, kb_relative_information_score: 27391.106, mean_absolute_error: 0.3721, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.716, predictive_accuracy: 0.7161, prior_entropy: 0.9976, recall: 0.7161, relative_absolute_error: 0.7466, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4299, root_relative_squared_error: 0.8613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8006, f_measure: 0.721, kappa: 0.4399, kb_relative_information_score: 24707.9024, mean_absolute_error: 0.3878, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.721, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7782, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.429, root_relative_squared_error: 0.8593,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.795, f_measure: 0.7205, kappa: 0.4388, kb_relative_information_score: 4570.4565, mean_absolute_error: 0.4812, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7205, predictive_accuracy: 0.7207, prior_entropy: 0.9976, recall: 0.7207, relative_absolute_error: 0.9655, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4827, root_relative_squared_error: 0.967,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7808, f_measure: 0.7106, kappa: 0.4189, kb_relative_information_score: 4461.2346, mean_absolute_error: 0.4818, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7106, predictive_accuracy: 0.7109, prior_entropy: 0.9976, recall: 0.7109, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4831, root_relative_squared_error: 0.9677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.7224, kappa: 0.4429, kb_relative_information_score: 26644.6451, mean_absolute_error: 0.3773, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7224, predictive_accuracy: 0.7225, prior_entropy: 0.9976, recall: 0.7225, relative_absolute_error: 0.7571, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4266, root_relative_squared_error: 0.8546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.7204, kappa: 0.4389, kb_relative_information_score: 27306.4355, mean_absolute_error: 0.3733, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7204, predictive_accuracy: 0.7205, prior_entropy: 0.9976, recall: 0.7205, relative_absolute_error: 0.7491, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.427, root_relative_squared_error: 0.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.796, f_measure: 0.7176, kappa: 0.4329, kb_relative_information_score: 22338.2932, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7176, predictive_accuracy: 0.7179, prior_entropy: 0.9976, recall: 0.7179, relative_absolute_error: 0.8029, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.8685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8008, f_measure: 0.7212, kappa: 0.4403, kb_relative_information_score: 25527.634, mean_absolute_error: 0.3833, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7213, prior_entropy: 0.9976, recall: 0.7213, relative_absolute_error: 0.7691, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.428, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7854, f_measure: 0.7092, kappa: 0.4163, kb_relative_information_score: 27756.7376, mean_absolute_error: 0.3692, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7091, predictive_accuracy: 0.7093, prior_entropy: 0.9976, recall: 0.7093, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.434, root_relative_squared_error: 0.8695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6729, f_measure: 0.6271, kappa: 0.2541, kb_relative_information_score: 11330.2966, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6326, predictive_accuracy: 0.6321, prior_entropy: 0.9976, recall: 0.6321, relative_absolute_error: 0.902, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.7189, kappa: 0.4357, kb_relative_information_score: 968.0222, mean_absolute_error: 0.4949, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7188, predictive_accuracy: 0.7191, prior_entropy: 0.9976, recall: 0.7191, relative_absolute_error: 0.993, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.495, root_relative_squared_error: 0.9917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6112, f_measure: 0.4421, kappa: 0.042, kb_relative_information_score: 1461.1002, mean_absolute_error: 0.4923, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5685, predictive_accuracy: 0.5441, prior_entropy: 0.9976, recall: 0.5441, relative_absolute_error: 0.9879, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4955, root_relative_squared_error: 0.9926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7632, f_measure: 0.6923, kappa: 0.3824, kb_relative_information_score: 7228.2127, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6923, predictive_accuracy: 0.6925, prior_entropy: 0.9976, recall: 0.6925, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.619, f_measure: 0.5901, kappa: 0.183, kb_relative_information_score: 7135.8835, mean_absolute_error: 0.4683, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.598, predictive_accuracy: 0.5982, prior_entropy: 0.9976, recall: 0.5982, relative_absolute_error: 0.9397, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4863, root_relative_squared_error: 0.9743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.799, f_measure: 0.7211, kappa: 0.4403, kb_relative_information_score: 26458.9669, mean_absolute_error: 0.3779, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7211, predictive_accuracy: 0.7211, prior_entropy: 0.9976, recall: 0.7211, relative_absolute_error: 0.7583, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8575,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7978, f_measure: 0.7198, kappa: 0.4377, kb_relative_information_score: 26703.3031, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7198, predictive_accuracy: 0.7198, prior_entropy: 0.9976, recall: 0.7198, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4283, root_relative_squared_error: 0.8581,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7633, f_measure: 0.6924, kappa: 0.3827, kb_relative_information_score: -3.4702, mean_absolute_error: 0.4983, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6924, predictive_accuracy: 0.6924, prior_entropy: 0.9976, recall: 0.6924, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4983, root_relative_squared_error: 0.9983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.7154, kappa: 0.4286, kb_relative_information_score: 5573.8989, mean_absolute_error: 0.4773, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7154, predictive_accuracy: 0.7157, prior_entropy: 0.9976, recall: 0.7157, relative_absolute_error: 0.9577, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4793, root_relative_squared_error: 0.9601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.7201, kappa: 0.438, kb_relative_information_score: 23858.0771, mean_absolute_error: 0.3923, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7201, predictive_accuracy: 0.7203, prior_entropy: 0.9976, recall: 0.7203, relative_absolute_error: 0.7871, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8625,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7963, f_measure: 0.7172, kappa: 0.4321, kb_relative_information_score: 23016.0746, mean_absolute_error: 0.3966, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7171, predictive_accuracy: 0.7174, prior_entropy: 0.9976, recall: 0.7174, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.7078, kappa: 0.4135, kb_relative_information_score: 27658.346, mean_absolute_error: 0.3695, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7077, predictive_accuracy: 0.7079, prior_entropy: 0.9976, recall: 0.7079, relative_absolute_error: 0.7415, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.8717,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 0.0947, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, predictive_accuracy: 0.5286, prior_entropy: 0.9976, recall: 0.5286, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.3662, kappa: 0.0003, kb_relative_information_score: 1.1926, mean_absolute_error: 0.4984, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.5606, predictive_accuracy: 0.5287, prior_entropy: 0.9976, recall: 0.5287, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4992, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.6587, kappa: 0.3146, kb_relative_information_score: 15529.4058, mean_absolute_error: 0.4308, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6592, predictive_accuracy: 0.6597, prior_entropy: 0.9976, recall: 0.6597, relative_absolute_error: 0.8644, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.681, f_measure: 0.5899, kappa: 0.1956, kb_relative_information_score: 3454.67, mean_absolute_error: 0.4855, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6142, predictive_accuracy: 0.6073, prior_entropy: 0.9976, recall: 0.6073, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4883, root_relative_squared_error: 0.9782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8013, f_measure: 0.7213, kappa: 0.4406, kb_relative_information_score: 27702.7885, mean_absolute_error: 0.3713, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7212, predictive_accuracy: 0.7214, prior_entropy: 0.9976, recall: 0.7214, relative_absolute_error: 0.745, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7895, f_measure: 0.7171, kappa: 0.4319, kb_relative_information_score: 7191.87, mean_absolute_error: 0.4707, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7171, predictive_accuracy: 0.7174, prior_entropy: 0.9976, recall: 0.7174, relative_absolute_error: 0.9445, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7997, f_measure: 0.7209, kappa: 0.4399, kb_relative_information_score: 26871.3506, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7209, predictive_accuracy: 0.7209, prior_entropy: 0.9976, recall: 0.7209, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4274, root_relative_squared_error: 0.8562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8016, f_measure: 0.7215, kappa: 0.441, kb_relative_information_score: 27314.5546, mean_absolute_error: 0.3735, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7214, predictive_accuracy: 0.7216, prior_entropy: 0.9976, recall: 0.7216, relative_absolute_error: 0.7494, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.8539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6764, f_measure: 0.6352, kappa: 0.2675, kb_relative_information_score: 7418.5046, mean_absolute_error: 0.4682, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.6351, predictive_accuracy: 0.6355, prior_entropy: 0.9976, recall: 0.6355, relative_absolute_error: 0.9395, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4789, root_relative_squared_error: 0.9594,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.7198, kappa: 0.4378, kb_relative_information_score: 26829.5082, mean_absolute_error: 0.3757, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7198, predictive_accuracy: 0.7198, prior_entropy: 0.9976, recall: 0.7198, relative_absolute_error: 0.7539, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4281, root_relative_squared_error: 0.8577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7883, f_measure: 0.7117, kappa: 0.4214, kb_relative_information_score: 27632.2268, mean_absolute_error: 0.3702, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7117, predictive_accuracy: 0.7118, prior_entropy: 0.9976, recall: 0.7118, relative_absolute_error: 0.7428, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4324, root_relative_squared_error: 0.8663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7918, f_measure: 0.7187, kappa: 0.4353, kb_relative_information_score: 2244.4678, mean_absolute_error: 0.4903, mean_prior_absolute_error: 0.4984, number_of_instances: 98050, precision: 0.7186, predictive_accuracy: 0.7188, prior_entropy: 0.9976, recall: 0.7188, relative_absolute_error: 0.9838, root_mean_prior_squared_error: 0.4992, root_mean_squared_error: 0.4907, root_relative_squared_error: 0.983,

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