OpenML
Supervised Classification on one-hundred-plants-margin

Supervised Classification on one-hundred-plants-margin

Task 9954 Supervised Classification one-hundred-plants-margin 13044 runs submitted
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  • OpenML100 study_107 study_123 study_14 study_50 study_7
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, kappa: 0.3403, kb_relative_information_score: 841.06, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3469, prior_entropy: 6.6439, recall: 0.3469, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, kappa: 0.334, kb_relative_information_score: 841.3415, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3406, prior_entropy: 6.6439, recall: 0.3406, relative_absolute_error: 0.7556, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8474, f_measure: 0.4043, kappa: 0.4122, kb_relative_information_score: 861.3991, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4121, predictive_accuracy: 0.4181, prior_entropy: 6.6439, recall: 0.4181, relative_absolute_error: 0.6848, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8163, f_measure: 0.4583, kappa: 0.4533, kb_relative_information_score: 856.1584, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4722, predictive_accuracy: 0.4588, prior_entropy: 6.6439, recall: 0.4588, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7833, f_measure: 0.4638, kappa: 0.4602, kb_relative_information_score: 843.8411, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4732, predictive_accuracy: 0.4656, prior_entropy: 6.6439, recall: 0.4656, relative_absolute_error: 0.5623, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8058, f_measure: 0.4579, kappa: 0.4539, kb_relative_information_score: 860.6323, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4702, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.5929, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.9109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8174, f_measure: 0.4472, kappa: 0.4426, kb_relative_information_score: 863.8114, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4639, predictive_accuracy: 0.4481, prior_entropy: 6.6439, recall: 0.4481, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9079,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8597, kappa: 0.3346, kb_relative_information_score: 841.5736, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3413, prior_entropy: 6.6439, recall: 0.3413, relative_absolute_error: 0.7553, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8668, kappa: 0.31, kb_relative_information_score: 824.961, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3169, prior_entropy: 6.6439, recall: 0.3169, relative_absolute_error: 0.7859, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.9221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8203, f_measure: 0.4443, kappa: 0.44, kb_relative_information_score: 858.5884, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4592, predictive_accuracy: 0.4456, prior_entropy: 6.6439, recall: 0.4456, relative_absolute_error: 0.6223, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.4629, kappa: 0.4564, kb_relative_information_score: 778.3991, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4826, predictive_accuracy: 0.4619, prior_entropy: 6.6439, recall: 0.4619, relative_absolute_error: 0.5491, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0976, root_relative_squared_error: 0.9811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7734, f_measure: 0.4715, kappa: 0.4628, kb_relative_information_score: 821.6373, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4868, predictive_accuracy: 0.4681, prior_entropy: 6.6439, recall: 0.4681, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.9353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.3773, kappa: 0.3876, kb_relative_information_score: 853.933, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3913, predictive_accuracy: 0.3938, prior_entropy: 6.6439, recall: 0.3938, relative_absolute_error: 0.6997, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9069,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8101, f_measure: 0.4559, kappa: 0.4508, kb_relative_information_score: 859.1928, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.47, predictive_accuracy: 0.4563, prior_entropy: 6.6439, recall: 0.4563, relative_absolute_error: 0.6146, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7975, f_measure: 0.4575, kappa: 0.4539, kb_relative_information_score: 852.1873, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4698, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.5923, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0906, root_relative_squared_error: 0.9104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8042, f_measure: 0.4637, kappa: 0.4564, kb_relative_information_score: 852.7606, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4814, predictive_accuracy: 0.4619, prior_entropy: 6.6439, recall: 0.4619, relative_absolute_error: 0.5909, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8112, f_measure: 0.4615, kappa: 0.4577, kb_relative_information_score: 868.6474, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4745, predictive_accuracy: 0.4631, prior_entropy: 6.6439, recall: 0.4631, relative_absolute_error: 0.593, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9062,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8471, f_measure: 0.3628, kappa: 0.3763, kb_relative_information_score: 851.8454, mean_absolute_error: 0.0142, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3768, predictive_accuracy: 0.3825, prior_entropy: 6.6439, recall: 0.3825, relative_absolute_error: 0.7147, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, kappa: 0.3504, kb_relative_information_score: 852.4786, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3569, prior_entropy: 6.6439, recall: 0.3569, relative_absolute_error: 0.7402, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.4428, kappa: 0.4388, kb_relative_information_score: 861.5165, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4571, predictive_accuracy: 0.4444, prior_entropy: 6.6439, recall: 0.4444, relative_absolute_error: 0.622, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8364, f_measure: 0.4015, kappa: 0.4066, kb_relative_information_score: 860.0277, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4092, predictive_accuracy: 0.4125, prior_entropy: 6.6439, recall: 0.4125, relative_absolute_error: 0.678, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8067, f_measure: 0.4574, kappa: 0.452, kb_relative_information_score: 860.899, mean_absolute_error: 0.0118, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4723, predictive_accuracy: 0.4575, prior_entropy: 6.6439, recall: 0.4575, relative_absolute_error: 0.5937, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, kappa: 0.3176, kb_relative_information_score: 829.1505, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3244, prior_entropy: 6.6439, recall: 0.3244, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8586, kappa: 0.3516, kb_relative_information_score: 852.7636, mean_absolute_error: 0.0146, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3581, prior_entropy: 6.6439, recall: 0.3581, relative_absolute_error: 0.7399, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, kappa: 0.3485, kb_relative_information_score: 846.1578, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.355, prior_entropy: 6.6439, recall: 0.355, relative_absolute_error: 0.7558, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7753, f_measure: 0.4694, kappa: 0.4615, kb_relative_information_score: 824.6433, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4839, predictive_accuracy: 0.4669, prior_entropy: 6.6439, recall: 0.4669, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.9352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7974, f_measure: 0.4633, kappa: 0.4564, kb_relative_information_score: 850.3191, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4842, predictive_accuracy: 0.4619, prior_entropy: 6.6439, recall: 0.4619, relative_absolute_error: 0.581, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.9196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, kappa: 0.3611, kb_relative_information_score: 849.952, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3675, prior_entropy: 6.6439, recall: 0.3675, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, kappa: 0.3264, kb_relative_information_score: 839.9798, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3331, prior_entropy: 6.6439, recall: 0.3331, relative_absolute_error: 0.7631, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.376, kappa: 0.3864, kb_relative_information_score: 854.2056, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.391, predictive_accuracy: 0.3925, prior_entropy: 6.6439, recall: 0.3925, relative_absolute_error: 0.7001, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.841, kappa: 0.428, kb_relative_information_score: 873.6296, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4338, prior_entropy: 6.6439, recall: 0.4338, relative_absolute_error: 0.645, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7953, f_measure: 0.4651, kappa: 0.4571, kb_relative_information_score: 838.1074, mean_absolute_error: 0.0116, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4843, predictive_accuracy: 0.4625, prior_entropy: 6.6439, recall: 0.4625, relative_absolute_error: 0.5845, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0922, root_relative_squared_error: 0.9268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8051, f_measure: 0.4601, kappa: 0.4539, kb_relative_information_score: 846.4186, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4781, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.5987, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.9163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.4521, kappa: 0.4489, kb_relative_information_score: 860.5465, mean_absolute_error: 0.0119, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4638, predictive_accuracy: 0.4544, prior_entropy: 6.6439, recall: 0.4544, relative_absolute_error: 0.5994, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.85, f_measure: 0.3876, kappa: 0.4021, kb_relative_information_score: 849.8072, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4009, predictive_accuracy: 0.4081, prior_entropy: 6.6439, recall: 0.4081, relative_absolute_error: 0.7045, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8142, f_measure: 0.4578, kappa: 0.4539, kb_relative_information_score: 868.5647, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.472, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.6133, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8717, kappa: 0.3403, kb_relative_information_score: 841.1107, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3469, prior_entropy: 6.6439, recall: 0.3469, relative_absolute_error: 0.7643, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8738, kappa: 0.3428, kb_relative_information_score: 846.8713, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3494, prior_entropy: 6.6439, recall: 0.3494, relative_absolute_error: 0.7617, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.9124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8478, f_measure: 0.3663, kappa: 0.3794, kb_relative_information_score: 854.7266, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3804, predictive_accuracy: 0.3856, prior_entropy: 6.6439, recall: 0.3856, relative_absolute_error: 0.7127, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8532, f_measure: 0.3529, kappa: 0.3693, kb_relative_information_score: 853.812, mean_absolute_error: 0.0144, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3608, predictive_accuracy: 0.3756, prior_entropy: 6.6439, recall: 0.3756, relative_absolute_error: 0.7259, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7926, f_measure: 0.4584, kappa: 0.4533, kb_relative_information_score: 849.8868, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4714, predictive_accuracy: 0.4588, prior_entropy: 6.6439, recall: 0.4588, relative_absolute_error: 0.5814, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.9153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.3768, kappa: 0.387, kb_relative_information_score: 854.5317, mean_absolute_error: 0.0138, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3917, predictive_accuracy: 0.3931, prior_entropy: 6.6439, recall: 0.3931, relative_absolute_error: 0.6993, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7741, f_measure: 0.4757, kappa: 0.4665, kb_relative_information_score: 830.3295, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4917, predictive_accuracy: 0.4719, prior_entropy: 6.6439, recall: 0.4719, relative_absolute_error: 0.5515, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0925, root_relative_squared_error: 0.9295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, kappa: 0.3819, kb_relative_information_score: 849.8421, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3881, prior_entropy: 6.6439, recall: 0.3881, relative_absolute_error: 0.7304, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8716, kappa: 0.3497, kb_relative_information_score: 847.3251, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3563, prior_entropy: 6.6439, recall: 0.3563, relative_absolute_error: 0.7552, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.9112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7881, f_measure: 0.4532, kappa: 0.447, kb_relative_information_score: 837.6078, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4719, predictive_accuracy: 0.4525, prior_entropy: 6.6439, recall: 0.4525, relative_absolute_error: 0.5789, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.9306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, kappa: 0.2992, kb_relative_information_score: 829.285, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3063, prior_entropy: 6.6439, recall: 0.3063, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.4174, kappa: 0.4242, kb_relative_information_score: 861.3559, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4212, predictive_accuracy: 0.43, prior_entropy: 6.6439, recall: 0.43, relative_absolute_error: 0.6595, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0899, root_relative_squared_error: 0.9031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8179, f_measure: 0.4488, kappa: 0.4438, kb_relative_information_score: 865.0876, mean_absolute_error: 0.0121, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4636, predictive_accuracy: 0.4494, prior_entropy: 6.6439, recall: 0.4494, relative_absolute_error: 0.6107, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.3862, kappa: 0.4015, kb_relative_information_score: 850.9275, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3974, predictive_accuracy: 0.4075, prior_entropy: 6.6439, recall: 0.4075, relative_absolute_error: 0.7038, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8724, kappa: 0.3422, kb_relative_information_score: 843.4629, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3488, prior_entropy: 6.6439, recall: 0.3488, relative_absolute_error: 0.7632, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8235, f_measure: 0.4475, kappa: 0.4438, kb_relative_information_score: 866.1021, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4612, predictive_accuracy: 0.4494, prior_entropy: 6.6439, recall: 0.4494, relative_absolute_error: 0.6186, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, kappa: 0.2999, kb_relative_information_score: 829.6324, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3069, prior_entropy: 6.6439, recall: 0.3069, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.4141, kappa: 0.4242, kb_relative_information_score: 873.6183, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4184, predictive_accuracy: 0.43, prior_entropy: 6.6439, recall: 0.43, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, kappa: 0.3176, kb_relative_information_score: 829.161, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3244, prior_entropy: 6.6439, recall: 0.3244, relative_absolute_error: 0.7748, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.4037, kappa: 0.4122, kb_relative_information_score: 862.8268, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4112, predictive_accuracy: 0.4181, prior_entropy: 6.6439, recall: 0.4181, relative_absolute_error: 0.6845, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.414, kappa: 0.4242, kb_relative_information_score: 872.5168, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4187, predictive_accuracy: 0.43, prior_entropy: 6.6439, recall: 0.43, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8333, f_measure: 0.4412, kappa: 0.4375, kb_relative_information_score: 874.0618, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4578, predictive_accuracy: 0.4431, prior_entropy: 6.6439, recall: 0.4431, relative_absolute_error: 0.6297, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.8964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.4225, kappa: 0.4268, kb_relative_information_score: 876.9442, mean_absolute_error: 0.013, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4332, predictive_accuracy: 0.4325, prior_entropy: 6.6439, recall: 0.4325, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0888, root_relative_squared_error: 0.8926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8605, kappa: 0.3819, kb_relative_information_score: 849.2624, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3881, prior_entropy: 6.6439, recall: 0.3881, relative_absolute_error: 0.7305, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8663, kappa: 0.3598, kb_relative_information_score: 848.814, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3663, prior_entropy: 6.6439, recall: 0.3663, relative_absolute_error: 0.7441, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.4021, kappa: 0.411, kb_relative_information_score: 861.9767, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4088, predictive_accuracy: 0.4169, prior_entropy: 6.6439, recall: 0.4169, relative_absolute_error: 0.6847, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8493, f_measure: 0.4144, kappa: 0.4249, kb_relative_information_score: 872.8006, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4187, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.6693, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8664, kappa: 0.3611, kb_relative_information_score: 849.952, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3675, prior_entropy: 6.6439, recall: 0.3675, relative_absolute_error: 0.7435, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9088,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.446, kappa: 0.4419, kb_relative_information_score: 865.9501, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4604, predictive_accuracy: 0.4475, prior_entropy: 6.6439, recall: 0.4475, relative_absolute_error: 0.6192, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.9006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7526, f_measure: 0.4753, kappa: 0.4691, kb_relative_information_score: 793.936, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4864, predictive_accuracy: 0.4744, prior_entropy: 6.6439, recall: 0.4744, relative_absolute_error: 0.5373, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0963, root_relative_squared_error: 0.9674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.4144, kappa: 0.4249, kb_relative_information_score: 874.2053, mean_absolute_error: 0.0133, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4183, predictive_accuracy: 0.4306, prior_entropy: 6.6439, recall: 0.4306, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8583, kappa: 0.3504, kb_relative_information_score: 852.0819, mean_absolute_error: 0.0147, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3569, prior_entropy: 6.6439, recall: 0.3569, relative_absolute_error: 0.7403, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7724, f_measure: 0.4796, kappa: 0.4741, kb_relative_information_score: 833.2093, mean_absolute_error: 0.0107, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4916, predictive_accuracy: 0.4794, prior_entropy: 6.6439, recall: 0.4794, relative_absolute_error: 0.5418, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.9286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.449, kappa: 0.4451, kb_relative_information_score: 870.8611, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4628, predictive_accuracy: 0.4506, prior_entropy: 6.6439, recall: 0.4506, relative_absolute_error: 0.6175, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.8995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7971, f_measure: 0.4613, kappa: 0.4539, kb_relative_information_score: 847.2714, mean_absolute_error: 0.0115, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4805, predictive_accuracy: 0.4594, prior_entropy: 6.6439, recall: 0.4594, relative_absolute_error: 0.5827, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.9214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7694, f_measure: 0.4582, kappa: 0.4533, kb_relative_information_score: 813.5063, mean_absolute_error: 0.0112, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4725, predictive_accuracy: 0.4588, prior_entropy: 6.6439, recall: 0.4588, relative_absolute_error: 0.5633, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0939, root_relative_squared_error: 0.9438,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, kappa: 0.3333, kb_relative_information_score: 840.4273, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.34, prior_entropy: 6.6439, recall: 0.34, relative_absolute_error: 0.7561, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7811, f_measure: 0.4625, kappa: 0.4583, kb_relative_information_score: 839.0087, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4744, predictive_accuracy: 0.4638, prior_entropy: 6.6439, recall: 0.4638, relative_absolute_error: 0.5625, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8593, kappa: 0.3346, kb_relative_information_score: 840.8725, mean_absolute_error: 0.015, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3413, prior_entropy: 6.6439, recall: 0.3413, relative_absolute_error: 0.7554, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0909, root_relative_squared_error: 0.9136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8404, f_measure: 0.3761, kappa: 0.3864, kb_relative_information_score: 853.763, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3912, predictive_accuracy: 0.3925, prior_entropy: 6.6439, recall: 0.3925, relative_absolute_error: 0.6999, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0903, root_relative_squared_error: 0.9073,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8394, kappa: 0.4236, kb_relative_information_score: 869.1742, mean_absolute_error: 0.0128, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4294, prior_entropy: 6.6439, recall: 0.4294, relative_absolute_error: 0.6476, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8317, f_measure: 0.4406, kappa: 0.4369, kb_relative_information_score: 871.2007, mean_absolute_error: 0.0125, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4563, predictive_accuracy: 0.4425, prior_entropy: 6.6439, recall: 0.4425, relative_absolute_error: 0.6298, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, kappa: 0.3157, kb_relative_information_score: 829.102, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3225, prior_entropy: 6.6439, recall: 0.3225, relative_absolute_error: 0.775, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8722, kappa: 0.2992, kb_relative_information_score: 828.8398, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3063, prior_entropy: 6.6439, recall: 0.3063, relative_absolute_error: 0.7919, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0919, root_relative_squared_error: 0.9232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.847, f_measure: 0.3674, kappa: 0.3807, kb_relative_information_score: 854.641, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3811, predictive_accuracy: 0.3869, prior_entropy: 6.6439, recall: 0.3869, relative_absolute_error: 0.712, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.09, root_relative_squared_error: 0.9043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.808, f_measure: 0.4584, kappa: 0.4545, kb_relative_information_score: 864.2896, mean_absolute_error: 0.0117, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4741, predictive_accuracy: 0.46, prior_entropy: 6.6439, recall: 0.46, relative_absolute_error: 0.5921, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.9093,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8608, kappa: 0.3813, kb_relative_information_score: 849.0121, mean_absolute_error: 0.0145, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3875, prior_entropy: 6.6439, recall: 0.3875, relative_absolute_error: 0.731, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.9092,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.817, f_measure: 0.4543, kappa: 0.4495, kb_relative_information_score: 870.0519, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4703, predictive_accuracy: 0.455, prior_entropy: 6.6439, recall: 0.455, relative_absolute_error: 0.6182, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.8977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8725, kappa: 0.2999, kb_relative_information_score: 829.643, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3069, prior_entropy: 6.6439, recall: 0.3069, relative_absolute_error: 0.7917, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.9229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.838, f_measure: 0.4043, kappa: 0.4097, kb_relative_information_score: 864.0037, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4114, predictive_accuracy: 0.4156, prior_entropy: 6.6439, recall: 0.4156, relative_absolute_error: 0.6763, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.3745, kappa: 0.3851, kb_relative_information_score: 851.9091, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3886, predictive_accuracy: 0.3913, prior_entropy: 6.6439, recall: 0.3913, relative_absolute_error: 0.7013, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8772, kappa: 0.3245, kb_relative_information_score: 841.9975, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3313, prior_entropy: 6.6439, recall: 0.3313, relative_absolute_error: 0.7743, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8472, f_measure: 0.3638, kappa: 0.3775, kb_relative_information_score: 852.8118, mean_absolute_error: 0.0141, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3769, predictive_accuracy: 0.3838, prior_entropy: 6.6439, recall: 0.3838, relative_absolute_error: 0.7139, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0902, root_relative_squared_error: 0.9067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8539, f_measure: 0.355, kappa: 0.3718, kb_relative_information_score: 856.9386, mean_absolute_error: 0.0143, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3628, predictive_accuracy: 0.3781, prior_entropy: 6.6439, recall: 0.3781, relative_absolute_error: 0.7236, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8473, f_measure: 0.4022, kappa: 0.411, kb_relative_information_score: 860.5617, mean_absolute_error: 0.0136, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4091, predictive_accuracy: 0.4169, prior_entropy: 6.6439, recall: 0.4169, relative_absolute_error: 0.6854, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.9024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.3747, kappa: 0.3845, kb_relative_information_score: 852.3347, mean_absolute_error: 0.0139, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.3884, predictive_accuracy: 0.3906, prior_entropy: 6.6439, recall: 0.3906, relative_absolute_error: 0.7014, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.9087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7485, f_measure: 0.4721, kappa: 0.4678, kb_relative_information_score: 785.319, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4836, predictive_accuracy: 0.4731, prior_entropy: 6.6439, recall: 0.4731, relative_absolute_error: 0.5369, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0972, root_relative_squared_error: 0.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8226, f_measure: 0.4459, kappa: 0.4419, kb_relative_information_score: 865.1924, mean_absolute_error: 0.0122, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4597, predictive_accuracy: 0.4475, prior_entropy: 6.6439, recall: 0.4475, relative_absolute_error: 0.6184, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.9015,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8619, kappa: 0.3163, kb_relative_information_score: 829.102, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3231, prior_entropy: 6.6439, recall: 0.3231, relative_absolute_error: 0.7749, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.9182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8271, kappa: 0.4457, kb_relative_information_score: 865.0747, mean_absolute_error: 0.0123, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.4513, prior_entropy: 6.6439, recall: 0.4513, relative_absolute_error: 0.6215, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.9054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8612, kappa: 0.3264, kb_relative_information_score: 840.0941, mean_absolute_error: 0.0151, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, predictive_accuracy: 0.3331, prior_entropy: 6.6439, recall: 0.3331, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.091, root_relative_squared_error: 0.9143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7939, f_measure: 0.4644, kappa: 0.4602, kb_relative_information_score: 855.3946, mean_absolute_error: 0.0114, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4783, predictive_accuracy: 0.4656, prior_entropy: 6.6439, recall: 0.4656, relative_absolute_error: 0.5764, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8383, f_measure: 0.4023, kappa: 0.4066, kb_relative_information_score: 864.3043, mean_absolute_error: 0.0134, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4091, predictive_accuracy: 0.4125, prior_entropy: 6.6439, recall: 0.4125, relative_absolute_error: 0.6773, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0894, root_relative_squared_error: 0.8985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7845, f_measure: 0.4726, kappa: 0.4678, kb_relative_information_score: 845.4441, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.0198, number_of_instances: 1600, precision: 0.4841, predictive_accuracy: 0.4731, prior_entropy: 6.6439, recall: 0.4731, relative_absolute_error: 0.5629, root_mean_prior_squared_error: 0.0995, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.9169,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

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

OpenML APIs