OpenML
Supervised Classification on eeg-eye-state

Supervised Classification on eeg-eye-state

Task 9983 Supervised Classification eeg-eye-state 97291 runs submitted
0 likes downloaded by 2 people , 2 total downloads 0 issues
Visibility: Public
  • OpenML100 study_107 study_123 study_14 study_7
Issue #Downvotes for this reason By


Metric:

97291 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: 0.9402, f_measure: 0.8614, kappa: 0.7195, kb_relative_information_score: 8686.5122, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8614, predictive_accuracy: 0.8615, prior_entropy: 0.9924, recall: 0.8615, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8618, kappa: 0.7203, kb_relative_information_score: 8752.6847, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8618, predictive_accuracy: 0.8619, prior_entropy: 0.9924, recall: 0.8619, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8606, kappa: 0.7179, kb_relative_information_score: 8622.7555, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8607, predictive_accuracy: 0.8608, prior_entropy: 0.9924, recall: 0.8608, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8605, kappa: 0.7176, kb_relative_information_score: 8561.4523, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8606, predictive_accuracy: 0.8607, prior_entropy: 0.9924, recall: 0.8607, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8519, kappa: 0.7002, kb_relative_information_score: 8046.3202, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8522, predictive_accuracy: 0.8523, prior_entropy: 0.9924, recall: 0.8523, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8519, kappa: 0.7002, kb_relative_information_score: 8046.3202, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8522, predictive_accuracy: 0.8523, prior_entropy: 0.9924, recall: 0.8523, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8533, kappa: 0.7031, kb_relative_information_score: 8091.5598, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, recall: 0.8537, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8535, kappa: 0.7034, kb_relative_information_score: 8185.5357, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8537, predictive_accuracy: 0.8538, prior_entropy: 0.9924, recall: 0.8538, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8534, kappa: 0.7033, kb_relative_information_score: 8137.9623, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8537, predictive_accuracy: 0.8537, prior_entropy: 0.9924, recall: 0.8537, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8533, kappa: 0.7031, kb_relative_information_score: 8091.5598, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, recall: 0.8537, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.852, kappa: 0.7009, kb_relative_information_score: 10480.1877, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.852, predictive_accuracy: 0.8521, prior_entropy: 0.9924, recall: 0.8521, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8638, kappa: 0.7244, kb_relative_information_score: 9408.13, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8638, predictive_accuracy: 0.8639, prior_entropy: 0.9924, recall: 0.8639, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8602, kappa: 0.7173, kb_relative_information_score: 9869.7933, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8602, predictive_accuracy: 0.8603, prior_entropy: 0.9924, recall: 0.8603, relative_absolute_error: 0.3515, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8636, kappa: 0.7241, kb_relative_information_score: 9219.0933, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9924, recall: 0.8638, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8636, kappa: 0.7241, kb_relative_information_score: 9219.0933, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9924, recall: 0.8638, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8553, kappa: 0.707, kb_relative_information_score: 8284.4495, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8554, predictive_accuracy: 0.8555, prior_entropy: 0.9924, recall: 0.8555, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.852, kappa: 0.7009, kb_relative_information_score: 10342.0153, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.852, predictive_accuracy: 0.8521, prior_entropy: 0.9924, recall: 0.8521, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.852, kappa: 0.7009, kb_relative_information_score: 10165.9034, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.852, predictive_accuracy: 0.8521, prior_entropy: 0.9924, recall: 0.8521, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8618, kappa: 0.7203, kb_relative_information_score: 8752.6847, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8618, predictive_accuracy: 0.8619, prior_entropy: 0.9924, recall: 0.8619, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8614, kappa: 0.7195, kb_relative_information_score: 8686.5122, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8614, predictive_accuracy: 0.8615, prior_entropy: 0.9924, recall: 0.8615, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8575, kappa: 0.7115, kb_relative_information_score: 8389.7003, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8576, predictive_accuracy: 0.8577, prior_entropy: 0.9924, recall: 0.8577, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8538, kappa: 0.704, kb_relative_information_score: 8234.304, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.854, predictive_accuracy: 0.8541, prior_entropy: 0.9924, recall: 0.8541, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8538, kappa: 0.704, kb_relative_information_score: 8234.304, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.854, predictive_accuracy: 0.8541, prior_entropy: 0.9924, recall: 0.8541, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8561, kappa: 0.7088, kb_relative_information_score: 8336.1967, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8563, predictive_accuracy: 0.8564, prior_entropy: 0.9924, recall: 0.8564, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8503, f_measure: 0.852, kappa: 0.7009, kb_relative_information_score: 10480.1877, mean_absolute_error: 0.1479, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.852, predictive_accuracy: 0.8521, prior_entropy: 0.9924, recall: 0.8521, relative_absolute_error: 0.299, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.7733,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8635, kappa: 0.7239, kb_relative_information_score: 9620.3016, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8635, predictive_accuracy: 0.8637, prior_entropy: 0.9924, recall: 0.8637, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8535, kappa: 0.7034, kb_relative_information_score: 8185.5357, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8537, predictive_accuracy: 0.8538, prior_entropy: 0.9924, recall: 0.8538, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8605, kappa: 0.7176, kb_relative_information_score: 8561.4523, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8606, predictive_accuracy: 0.8607, prior_entropy: 0.9924, recall: 0.8607, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8618, kappa: 0.7203, kb_relative_information_score: 8752.6847, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8618, predictive_accuracy: 0.8619, prior_entropy: 0.9924, recall: 0.8619, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8638, kappa: 0.7244, kb_relative_information_score: 9408.13, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8638, predictive_accuracy: 0.8639, prior_entropy: 0.9924, recall: 0.8639, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8636, kappa: 0.7241, kb_relative_information_score: 9219.0933, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9924, recall: 0.8638, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8606, kappa: 0.7179, kb_relative_information_score: 8622.7555, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8607, predictive_accuracy: 0.8608, prior_entropy: 0.9924, recall: 0.8608, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8618, kappa: 0.7203, kb_relative_information_score: 8752.6847, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8618, predictive_accuracy: 0.8619, prior_entropy: 0.9924, recall: 0.8619, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9362, f_measure: 0.8533, kappa: 0.7031, kb_relative_information_score: 8091.5598, mean_absolute_error: 0.2429, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8536, predictive_accuracy: 0.8537, prior_entropy: 0.9924, recall: 0.8537, relative_absolute_error: 0.4909, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3258, root_relative_squared_error: 0.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8538, kappa: 0.704, kb_relative_information_score: 8234.304, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.854, predictive_accuracy: 0.8541, prior_entropy: 0.9924, recall: 0.8541, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8575, kappa: 0.7115, kb_relative_information_score: 8389.7003, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8576, predictive_accuracy: 0.8577, prior_entropy: 0.9924, recall: 0.8577, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8602, kappa: 0.7173, kb_relative_information_score: 9869.7933, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8602, predictive_accuracy: 0.8603, prior_entropy: 0.9924, recall: 0.8603, relative_absolute_error: 0.3515, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8634, kappa: 0.7236, kb_relative_information_score: 9738.4091, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8634, predictive_accuracy: 0.8635, prior_entropy: 0.9924, recall: 0.8635, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8634, kappa: 0.7236, kb_relative_information_score: 9738.4091, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8634, predictive_accuracy: 0.8635, prior_entropy: 0.9924, recall: 0.8635, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8602, kappa: 0.7173, kb_relative_information_score: 9869.7933, mean_absolute_error: 0.1739, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8602, predictive_accuracy: 0.8603, prior_entropy: 0.9924, recall: 0.8603, relative_absolute_error: 0.3515, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3174, root_relative_squared_error: 0.6381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8634, kappa: 0.7236, kb_relative_information_score: 9738.4091, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8634, predictive_accuracy: 0.8635, prior_entropy: 0.9924, recall: 0.8635, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8636, kappa: 0.7241, kb_relative_information_score: 9219.0933, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9924, recall: 0.8638, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8598, kappa: 0.7162, kb_relative_information_score: 8502.3451, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9924, recall: 0.86, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8553, kappa: 0.707, kb_relative_information_score: 8284.4495, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8554, predictive_accuracy: 0.8555, prior_entropy: 0.9924, recall: 0.8555, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8535, kappa: 0.7034, kb_relative_information_score: 8185.5357, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8537, predictive_accuracy: 0.8538, prior_entropy: 0.9924, recall: 0.8538, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8519, kappa: 0.7002, kb_relative_information_score: 8046.3202, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8522, predictive_accuracy: 0.8523, prior_entropy: 0.9924, recall: 0.8523, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8519, kappa: 0.7002, kb_relative_information_score: 8046.3202, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8522, predictive_accuracy: 0.8523, prior_entropy: 0.9924, recall: 0.8523, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8618, kappa: 0.7203, kb_relative_information_score: 8752.6847, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8618, predictive_accuracy: 0.8619, prior_entropy: 0.9924, recall: 0.8619, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.852, kappa: 0.7009, kb_relative_information_score: 10342.0153, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.852, predictive_accuracy: 0.8521, prior_entropy: 0.9924, recall: 0.8521, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8561, kappa: 0.7088, kb_relative_information_score: 8336.1967, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8563, predictive_accuracy: 0.8564, prior_entropy: 0.9924, recall: 0.8564, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8636, kappa: 0.7241, kb_relative_information_score: 9219.0933, mean_absolute_error: 0.2006, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9924, recall: 0.8638, relative_absolute_error: 0.4055, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3115, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8621, kappa: 0.721, kb_relative_information_score: 8968.6895, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8621, predictive_accuracy: 0.8623, prior_entropy: 0.9924, recall: 0.8623, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8598, kappa: 0.7162, kb_relative_information_score: 8502.3451, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9924, recall: 0.86, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8538, kappa: 0.704, kb_relative_information_score: 8234.304, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.854, predictive_accuracy: 0.8541, prior_entropy: 0.9924, recall: 0.8541, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8575, kappa: 0.7115, kb_relative_information_score: 8389.7003, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8576, predictive_accuracy: 0.8577, prior_entropy: 0.9924, recall: 0.8577, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9882, f_measure: 0.9441, kappa: 0.8868, kb_relative_information_score: 9533.7812, mean_absolute_error: 0.2048, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.9445, predictive_accuracy: 0.9442, prior_entropy: 0.9924, recall: 0.9442, relative_absolute_error: 0.414, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.2571, root_relative_squared_error: 0.5169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8635, kappa: 0.7239, kb_relative_information_score: 9620.3016, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8635, predictive_accuracy: 0.8637, prior_entropy: 0.9924, recall: 0.8637, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9413, f_measure: 0.8636, kappa: 0.7241, kb_relative_information_score: 9131.3599, mean_absolute_error: 0.204, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8637, predictive_accuracy: 0.8638, prior_entropy: 0.9924, recall: 0.8638, relative_absolute_error: 0.4123, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.312, root_relative_squared_error: 0.6273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8598, kappa: 0.7162, kb_relative_information_score: 8502.3451, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9924, recall: 0.86, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8635, kappa: 0.7239, kb_relative_information_score: 9511.6428, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8635, predictive_accuracy: 0.8637, prior_entropy: 0.9924, recall: 0.8637, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.852, kappa: 0.7009, kb_relative_information_score: 10342.0153, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.852, predictive_accuracy: 0.8521, prior_entropy: 0.9924, recall: 0.8521, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8638, kappa: 0.7244, kb_relative_information_score: 9408.13, mean_absolute_error: 0.1931, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8638, predictive_accuracy: 0.8639, prior_entropy: 0.9924, recall: 0.8639, relative_absolute_error: 0.3904, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3112, root_relative_squared_error: 0.6257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8561, kappa: 0.7088, kb_relative_information_score: 8336.1967, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8563, predictive_accuracy: 0.8564, prior_entropy: 0.9924, recall: 0.8564, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9366, f_measure: 0.8534, kappa: 0.7033, kb_relative_information_score: 8137.9623, mean_absolute_error: 0.2412, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8537, predictive_accuracy: 0.8537, prior_entropy: 0.9924, recall: 0.8537, relative_absolute_error: 0.4875, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3249, root_relative_squared_error: 0.6533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8538, kappa: 0.704, kb_relative_information_score: 8234.304, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.854, predictive_accuracy: 0.8541, prior_entropy: 0.9924, recall: 0.8541, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8613, kappa: 0.7193, kb_relative_information_score: 8821.4605, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8613, predictive_accuracy: 0.8615, prior_entropy: 0.9924, recall: 0.8615, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8618, kappa: 0.7203, kb_relative_information_score: 8752.6847, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8618, predictive_accuracy: 0.8619, prior_entropy: 0.9924, recall: 0.8619, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9402, f_measure: 0.8614, kappa: 0.7195, kb_relative_information_score: 8686.5122, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8614, predictive_accuracy: 0.8615, prior_entropy: 0.9924, recall: 0.8615, relative_absolute_error: 0.4466, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3165, root_relative_squared_error: 0.6363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.8618, kappa: 0.7203, kb_relative_information_score: 8752.6847, mean_absolute_error: 0.2185, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8618, predictive_accuracy: 0.8619, prior_entropy: 0.9924, recall: 0.8619, relative_absolute_error: 0.4415, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3157, root_relative_squared_error: 0.6346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8561, kappa: 0.7088, kb_relative_information_score: 8336.1967, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8563, predictive_accuracy: 0.8564, prior_entropy: 0.9924, recall: 0.8564, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8613, kappa: 0.7193, kb_relative_information_score: 8821.4605, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8613, predictive_accuracy: 0.8615, prior_entropy: 0.9924, recall: 0.8615, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8621, kappa: 0.721, kb_relative_information_score: 8968.6895, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8621, predictive_accuracy: 0.8623, prior_entropy: 0.9924, recall: 0.8623, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9385, f_measure: 0.8575, kappa: 0.7115, kb_relative_information_score: 8389.7003, mean_absolute_error: 0.232, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8576, predictive_accuracy: 0.8577, prior_entropy: 0.9924, recall: 0.8577, relative_absolute_error: 0.4688, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3208, root_relative_squared_error: 0.645,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.852, kappa: 0.7009, kb_relative_information_score: 10342.0153, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.852, predictive_accuracy: 0.8521, prior_entropy: 0.9924, recall: 0.8521, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8553, kappa: 0.707, kb_relative_information_score: 8284.4495, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8554, predictive_accuracy: 0.8555, prior_entropy: 0.9924, recall: 0.8555, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9381, f_measure: 0.8561, kappa: 0.7088, kb_relative_information_score: 8336.1967, mean_absolute_error: 0.2339, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8563, predictive_accuracy: 0.8564, prior_entropy: 0.9924, recall: 0.8564, relative_absolute_error: 0.4728, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3216, root_relative_squared_error: 0.6467,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9377, f_measure: 0.8553, kappa: 0.707, kb_relative_information_score: 8284.4495, mean_absolute_error: 0.2358, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8554, predictive_accuracy: 0.8555, prior_entropy: 0.9924, recall: 0.8555, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9398, f_measure: 0.8635, kappa: 0.7239, kb_relative_information_score: 9511.6428, mean_absolute_error: 0.189, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8635, predictive_accuracy: 0.8637, prior_entropy: 0.9924, recall: 0.8637, relative_absolute_error: 0.382, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3116, root_relative_squared_error: 0.6264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8634, kappa: 0.7236, kb_relative_information_score: 9738.4091, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8634, predictive_accuracy: 0.8635, prior_entropy: 0.9924, recall: 0.8635, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.852, kappa: 0.7009, kb_relative_information_score: 10165.9034, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.852, predictive_accuracy: 0.8521, prior_entropy: 0.9924, recall: 0.8521, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9358, f_measure: 0.8519, kappa: 0.7002, kb_relative_information_score: 8046.3202, mean_absolute_error: 0.2445, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8522, predictive_accuracy: 0.8523, prior_entropy: 0.9924, recall: 0.8523, relative_absolute_error: 0.4942, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3265, root_relative_squared_error: 0.6565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9374, f_measure: 0.8538, kappa: 0.704, kb_relative_information_score: 8234.304, mean_absolute_error: 0.2377, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.854, predictive_accuracy: 0.8541, prior_entropy: 0.9924, recall: 0.8541, relative_absolute_error: 0.4804, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8615, kappa: 0.7198, kb_relative_information_score: 8893.2512, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8615, predictive_accuracy: 0.8617, prior_entropy: 0.9924, recall: 0.8617, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8584, kappa: 0.7135, kb_relative_information_score: 8445.0943, mean_absolute_error: 0.2299, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8586, predictive_accuracy: 0.8587, prior_entropy: 0.9924, recall: 0.8587, relative_absolute_error: 0.4647, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8615, kappa: 0.7198, kb_relative_information_score: 8893.2512, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8615, predictive_accuracy: 0.8617, prior_entropy: 0.9924, recall: 0.8617, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9407, f_measure: 0.8613, kappa: 0.7193, kb_relative_information_score: 8821.4605, mean_absolute_error: 0.2159, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8613, predictive_accuracy: 0.8615, prior_entropy: 0.9924, recall: 0.8615, relative_absolute_error: 0.4363, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3148, root_relative_squared_error: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8621, kappa: 0.721, kb_relative_information_score: 8968.6895, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8621, predictive_accuracy: 0.8623, prior_entropy: 0.9924, recall: 0.8623, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9409, f_measure: 0.8615, kappa: 0.7198, kb_relative_information_score: 8893.2512, mean_absolute_error: 0.2131, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8615, predictive_accuracy: 0.8617, prior_entropy: 0.9924, recall: 0.8617, relative_absolute_error: 0.4308, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8635, kappa: 0.7239, kb_relative_information_score: 9620.3016, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8635, predictive_accuracy: 0.8637, prior_entropy: 0.9924, recall: 0.8637, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.937, f_measure: 0.8535, kappa: 0.7034, kb_relative_information_score: 8185.5357, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8537, predictive_accuracy: 0.8538, prior_entropy: 0.9924, recall: 0.8538, relative_absolute_error: 0.484, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3241, root_relative_squared_error: 0.6517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.852, kappa: 0.7009, kb_relative_information_score: 10165.9034, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.852, predictive_accuracy: 0.8521, prior_entropy: 0.9924, recall: 0.8521, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9396, f_measure: 0.8605, kappa: 0.7176, kb_relative_information_score: 8561.4523, mean_absolute_error: 0.2256, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8606, predictive_accuracy: 0.8607, prior_entropy: 0.9924, recall: 0.8607, relative_absolute_error: 0.456, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3182, root_relative_squared_error: 0.6398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9371, f_measure: 0.8634, kappa: 0.7236, kb_relative_information_score: 9738.4091, mean_absolute_error: 0.1796, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8634, predictive_accuracy: 0.8635, prior_entropy: 0.9924, recall: 0.8635, relative_absolute_error: 0.363, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3143, root_relative_squared_error: 0.6319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9392, f_measure: 0.8598, kappa: 0.7162, kb_relative_information_score: 8502.3451, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8599, predictive_accuracy: 0.86, prior_entropy: 0.9924, recall: 0.86, relative_absolute_error: 0.4605, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3191, root_relative_squared_error: 0.6415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8606, kappa: 0.7179, kb_relative_information_score: 8622.7555, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8607, predictive_accuracy: 0.8608, prior_entropy: 0.9924, recall: 0.8608, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9224, f_measure: 0.852, kappa: 0.7009, kb_relative_information_score: 10165.9034, mean_absolute_error: 0.1609, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.852, predictive_accuracy: 0.8521, prior_entropy: 0.9924, recall: 0.8521, relative_absolute_error: 0.3253, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.334, root_relative_squared_error: 0.6715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9043, f_measure: 0.852, kappa: 0.7009, kb_relative_information_score: 10342.0153, mean_absolute_error: 0.1537, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.852, predictive_accuracy: 0.8521, prior_entropy: 0.9924, recall: 0.8521, relative_absolute_error: 0.3107, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8606, kappa: 0.7179, kb_relative_information_score: 8622.7555, mean_absolute_error: 0.2233, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8607, predictive_accuracy: 0.8608, prior_entropy: 0.9924, recall: 0.8608, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9411, f_measure: 0.8621, kappa: 0.721, kb_relative_information_score: 8968.6895, mean_absolute_error: 0.2103, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8621, predictive_accuracy: 0.8623, prior_entropy: 0.9924, recall: 0.8623, relative_absolute_error: 0.425, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3133, root_relative_squared_error: 0.6299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8635, kappa: 0.7239, kb_relative_information_score: 9620.3016, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4948, number_of_instances: 14980, precision: 0.8635, predictive_accuracy: 0.8637, prior_entropy: 0.9924, recall: 0.8637, relative_absolute_error: 0.373, root_mean_prior_squared_error: 0.4974, root_mean_squared_error: 0.3125, root_relative_squared_error: 0.6283,

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