OpenML
Supervised Classification on breast-w

Supervised Classification on breast-w

Task 15 Supervised Classification breast-w 24607 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • at2 basic mythbusting mythbusting_1 OpenML-CC18 OpenML100 study_1 study_107 study_123 study_14 study_15 study_20 study_41 study_50 study_70 study_98 study_99 under100k under1m
Issue #Downvotes for this reason By


Metric:

24607 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: 0.9902, f_measure: 0.9556, kappa: 0.9017, kb_relative_information_score: 0.8732, mean_absolute_error: 0.0595, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.9293, recall: 0.9557, relative_absolute_error: 0.1317, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9657, kappa: 0.9243, kb_relative_information_score: 0.9117, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9293, recall: 0.9657, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1849, root_relative_squared_error: 0.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.749, f_measure: 0.849, kappa: 0.6578, kb_relative_information_score: 0.6702, mean_absolute_error: 0.1428, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.8669, predictive_accuracy: 0.8569, prior_entropy: 0.9293, recall: 0.8569, relative_absolute_error: 0.3159, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.3754, root_relative_squared_error: 0.7898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9629, kappa: 0.918, kb_relative_information_score: 0.9106, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9614, kappa: 0.9146, kb_relative_information_score: 0.911, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.3974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 0.8922, mean_absolute_error: 0.0502, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9686, kappa: 0.9307, kb_relative_information_score: 0.8398, mean_absolute_error: 0.0844, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9689, predictive_accuracy: 0.9685, prior_entropy: 0.9293, recall: 0.9685, relative_absolute_error: 0.1867, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1665, root_relative_squared_error: 0.3503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9586, kappa: 0.9086, kb_relative_information_score: 0.9037, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.0927, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1964, root_relative_squared_error: 0.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9527, kappa: 0.8952, kb_relative_information_score: 0.8754, mean_absolute_error: 0.0582, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9527, predictive_accuracy: 0.9528, prior_entropy: 0.9293, recall: 0.9528, relative_absolute_error: 0.1287, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1856, root_relative_squared_error: 0.3905,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 0.9082, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1835, root_relative_squared_error: 0.386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9586, kappa: 0.9084, kb_relative_information_score: 0.899, mean_absolute_error: 0.0447, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9587, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.099, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1923, root_relative_squared_error: 0.4046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9585, kappa: 0.9083, kb_relative_information_score: 0.9038, mean_absolute_error: 0.0418, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.0925, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1971, root_relative_squared_error: 0.4147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9556, kappa: 0.9017, kb_relative_information_score: 0.8763, mean_absolute_error: 0.0579, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.9293, recall: 0.9557, relative_absolute_error: 0.1281, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9586, kappa: 0.9086, kb_relative_information_score: 0.9066, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1918, root_relative_squared_error: 0.4036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9556, kappa: 0.9017, kb_relative_information_score: 0.8957, mean_absolute_error: 0.0458, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.9293, recall: 0.9557, relative_absolute_error: 0.1013, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.4174,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.96, kappa: 0.9117, kb_relative_information_score: 0.9033, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9602, predictive_accuracy: 0.9599, prior_entropy: 0.9293, recall: 0.9599, relative_absolute_error: 0.0943, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1959, root_relative_squared_error: 0.4122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9628, kappa: 0.9177, kb_relative_information_score: 0.9028, mean_absolute_error: 0.0432, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9628, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.0956, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9816, f_measure: 0.9588, kappa: 0.9093, kb_relative_information_score: 0.8686, mean_absolute_error: 0.0616, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9597, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.1363, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.4011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.99, f_measure: 0.96, kappa: 0.9117, kb_relative_information_score: 0.9051, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9602, predictive_accuracy: 0.9599, prior_entropy: 0.9293, recall: 0.9599, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1976, root_relative_squared_error: 0.4158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9669, f_measure: 0.9516, kappa: 0.8936, kb_relative_information_score: 0.8624, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9525, predictive_accuracy: 0.9514, prior_entropy: 0.9293, recall: 0.9514, relative_absolute_error: 0.14, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2152, root_relative_squared_error: 0.4528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 0.9085, mean_absolute_error: 0.0399, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1899, root_relative_squared_error: 0.3996,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 0.9013, mean_absolute_error: 0.0436, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9293, recall: 0.9599, relative_absolute_error: 0.0965, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1919, root_relative_squared_error: 0.4038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9585, kappa: 0.9081, kb_relative_information_score: 0.8997, mean_absolute_error: 0.0434, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.195, root_relative_squared_error: 0.4102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9585, kappa: 0.9081, kb_relative_information_score: 0.9021, mean_absolute_error: 0.0423, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.0937, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1937, root_relative_squared_error: 0.4076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9571, kappa: 0.9052, kb_relative_information_score: 0.8872, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9293, recall: 0.9571, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9571, kappa: 0.905, kb_relative_information_score: 0.8989, mean_absolute_error: 0.044, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9293, recall: 0.9571, relative_absolute_error: 0.0973, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1928, root_relative_squared_error: 0.4057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9748, f_measure: 0.9531, kappa: 0.897, kb_relative_information_score: 0.8662, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9544, predictive_accuracy: 0.9528, prior_entropy: 0.9293, recall: 0.9528, relative_absolute_error: 0.137, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2038, root_relative_squared_error: 0.4288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9885, f_measure: 0.9585, kappa: 0.9081, kb_relative_information_score: 0.9045, mean_absolute_error: 0.0416, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.0919, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1965, root_relative_squared_error: 0.4134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.966, f_measure: 0.9488, kappa: 0.8876, kb_relative_information_score: 0.8586, mean_absolute_error: 0.0647, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.95, predictive_accuracy: 0.9485, prior_entropy: 0.9293, recall: 0.9485, relative_absolute_error: 0.1432, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2172, root_relative_squared_error: 0.4569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.96, kappa: 0.9117, kb_relative_information_score: 0.8984, mean_absolute_error: 0.0451, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9602, predictive_accuracy: 0.9599, prior_entropy: 0.9293, recall: 0.9599, relative_absolute_error: 0.0999, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.4051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9693, f_measure: 0.9517, kappa: 0.8938, kb_relative_information_score: 0.8646, mean_absolute_error: 0.0625, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9528, predictive_accuracy: 0.9514, prior_entropy: 0.9293, recall: 0.9514, relative_absolute_error: 0.1383, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2099, root_relative_squared_error: 0.4417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9599, kappa: 0.9113, kb_relative_information_score: 0.8453, mean_absolute_error: 0.0773, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9293, recall: 0.9599, relative_absolute_error: 0.1711, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1795, root_relative_squared_error: 0.3776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6343, f_measure: 0.7665, kappa: 0.4743, kb_relative_information_score: 0.4753, mean_absolute_error: 0.2272, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.7669, predictive_accuracy: 0.7725, prior_entropy: 0.9293, recall: 0.7725, relative_absolute_error: 0.5028, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9903, f_measure: 0.9586, kappa: 0.9084, kb_relative_information_score: 0.8921, mean_absolute_error: 0.0494, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9587, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.1092, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3802,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9615, kappa: 0.9149, kb_relative_information_score: 0.9038, mean_absolute_error: 0.0431, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9617, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.0953, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1829, root_relative_squared_error: 0.3847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9556, kappa: 0.9017, kb_relative_information_score: 0.8988, mean_absolute_error: 0.0439, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9556, predictive_accuracy: 0.9557, prior_entropy: 0.9293, recall: 0.9557, relative_absolute_error: 0.0971, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2013, root_relative_squared_error: 0.4235,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9528, kappa: 0.8956, kb_relative_information_score: 0.8989, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9528, predictive_accuracy: 0.9528, prior_entropy: 0.9293, recall: 0.9528, relative_absolute_error: 0.0962, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1973, root_relative_squared_error: 0.4151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9909, f_measure: 0.9629, kappa: 0.918, kb_relative_information_score: 0.8952, mean_absolute_error: 0.0482, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.1067, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1785, root_relative_squared_error: 0.3756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9586, kappa: 0.9086, kb_relative_information_score: 0.9036, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9529, kappa: 0.896, kb_relative_information_score: 0.8939, mean_absolute_error: 0.0462, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9531, predictive_accuracy: 0.9528, prior_entropy: 0.9293, recall: 0.9528, relative_absolute_error: 0.1021, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 0.9095, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1916, root_relative_squared_error: 0.4031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9896, f_measure: 0.9629, kappa: 0.9182, kb_relative_information_score: 0.9097, mean_absolute_error: 0.0396, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9632, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.0877, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1892, root_relative_squared_error: 0.3981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 0.9028, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9293, recall: 0.9599, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1956, root_relative_squared_error: 0.4115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9571, kappa: 0.9052, kb_relative_information_score: 0.8936, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9293, recall: 0.9571, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1932, root_relative_squared_error: 0.4065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9657, kappa: 0.9243, kb_relative_information_score: 0.9121, mean_absolute_error: 0.0388, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9293, recall: 0.9657, relative_absolute_error: 0.0857, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1864, root_relative_squared_error: 0.3922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9542, kappa: 0.8987, kb_relative_information_score: 0.878, mean_absolute_error: 0.0568, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9542, predictive_accuracy: 0.9542, prior_entropy: 0.9293, recall: 0.9542, relative_absolute_error: 0.1257, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1825, root_relative_squared_error: 0.3839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 0.9099, mean_absolute_error: 0.0393, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.0869, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1906, root_relative_squared_error: 0.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.9516, kappa: 0.8936, kb_relative_information_score: 0.8633, mean_absolute_error: 0.0627, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9525, predictive_accuracy: 0.9514, prior_entropy: 0.9293, recall: 0.9514, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2131, root_relative_squared_error: 0.4483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9599, kappa: 0.9113, kb_relative_information_score: 0.9068, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9293, recall: 0.9599, relative_absolute_error: 0.0898, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1947, root_relative_squared_error: 0.4097,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9586, kappa: 0.9086, kb_relative_information_score: 0.9052, mean_absolute_error: 0.041, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9588, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.0908, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1911, root_relative_squared_error: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9629, kappa: 0.918, kb_relative_information_score: 0.911, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.0867, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9643, kappa: 0.9211, kb_relative_information_score: 0.9116, mean_absolute_error: 0.0392, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.0868, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1877, root_relative_squared_error: 0.395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5252, f_measure: 0.6297, kappa: 0.1887, kb_relative_information_score: 0.138, mean_absolute_error: 0.3734, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.6338, predictive_accuracy: 0.6266, prior_entropy: 0.9293, recall: 0.6266, relative_absolute_error: 0.8262, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.6111, root_relative_squared_error: 1.2856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 0.898, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 0.898, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 0.898, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 0.898, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9701, kappa: 0.934, kb_relative_information_score: 0.8603, mean_absolute_error: 0.0716, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9704, predictive_accuracy: 0.97, prior_entropy: 0.9293, recall: 0.97, relative_absolute_error: 0.1585, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1649, root_relative_squared_error: 0.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9629, kappa: 0.918, kb_relative_information_score: 0.91, mean_absolute_error: 0.0394, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.0873, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1908, root_relative_squared_error: 0.4014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 0.898, mean_absolute_error: 0.0456, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.1008, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.187, root_relative_squared_error: 0.3934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9702, f_measure: 0.9701, kappa: 0.934, kb_relative_information_score: 0.9306, mean_absolute_error: 0.03, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9704, predictive_accuracy: 0.97, prior_entropy: 0.9293, recall: 0.97, relative_absolute_error: 0.0665, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1733, root_relative_squared_error: 0.3647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9558, kappa: 0.9023, kb_relative_information_score: 0.9015, mean_absolute_error: 0.0426, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.956, predictive_accuracy: 0.9557, prior_entropy: 0.9293, recall: 0.9557, relative_absolute_error: 0.0942, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1998, root_relative_squared_error: 0.4203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9629, kappa: 0.918, kb_relative_information_score: 0.9075, mean_absolute_error: 0.0406, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.0899, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1914, root_relative_squared_error: 0.4027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9614, kappa: 0.9144, kb_relative_information_score: 0.8956, mean_absolute_error: 0.0475, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9613, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.1052, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1777, root_relative_squared_error: 0.3739,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.957, kappa: 0.9048, kb_relative_information_score: 0.7238, mean_absolute_error: 0.1488, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.957, predictive_accuracy: 0.9571, prior_entropy: 0.9293, recall: 0.9571, relative_absolute_error: 0.3293, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2036, root_relative_squared_error: 0.4284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9599, kappa: 0.9112, kb_relative_information_score: 0.8484, mean_absolute_error: 0.0748, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9293, recall: 0.9599, relative_absolute_error: 0.1654, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1834, root_relative_squared_error: 0.3858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 0.8953, mean_absolute_error: 0.0483, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.1069, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1793, root_relative_squared_error: 0.3773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 0.8712, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9293, recall: 0.9599, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1752, root_relative_squared_error: 0.3686,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9614, kappa: 0.9146, kb_relative_information_score: 0.9102, mean_absolute_error: 0.039, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.0863, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9528, kappa: 0.8954, kb_relative_information_score: 0.7781, mean_absolute_error: 0.1164, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9527, predictive_accuracy: 0.9528, prior_entropy: 0.9293, recall: 0.9528, relative_absolute_error: 0.2576, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1894, root_relative_squared_error: 0.3986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9883, f_measure: 0.9615, kappa: 0.9149, kb_relative_information_score: 0.9068, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9617, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9615, kappa: 0.9149, kb_relative_information_score: 0.9072, mean_absolute_error: 0.0405, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9617, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.0896, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.4048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.96, kappa: 0.9117, kb_relative_information_score: 0.8757, mean_absolute_error: 0.0596, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9602, predictive_accuracy: 0.9599, prior_entropy: 0.9293, recall: 0.9599, relative_absolute_error: 0.1319, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9615, kappa: 0.9149, kb_relative_information_score: 0.9124, mean_absolute_error: 0.0379, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9617, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.0838, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1876, root_relative_squared_error: 0.3948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 0.9015, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.3753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 0.8914, mean_absolute_error: 0.0513, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.1136, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1735, root_relative_squared_error: 0.3651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9614, kappa: 0.9146, kb_relative_information_score: 0.9089, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.0882, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1912, root_relative_squared_error: 0.4023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9614, kappa: 0.9146, kb_relative_information_score: 0.8953, mean_absolute_error: 0.0477, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.1056, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1788, root_relative_squared_error: 0.3762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9599, kappa: 0.9113, kb_relative_information_score: 0.8645, mean_absolute_error: 0.066, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9293, recall: 0.9599, relative_absolute_error: 0.1461, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1776, root_relative_squared_error: 0.3736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 0.9107, mean_absolute_error: 0.0389, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.0861, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9571, kappa: 0.905, kb_relative_information_score: 0.9035, mean_absolute_error: 0.0421, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9293, recall: 0.9571, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1839, root_relative_squared_error: 0.3869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 0.9028, mean_absolute_error: 0.0435, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.0963, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1868, root_relative_squared_error: 0.393,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.96, kappa: 0.9115, kb_relative_information_score: 0.9051, mean_absolute_error: 0.0414, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.96, predictive_accuracy: 0.9599, prior_entropy: 0.9293, recall: 0.9599, relative_absolute_error: 0.0917, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1963, root_relative_squared_error: 0.4129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9586, kappa: 0.9084, kb_relative_information_score: 0.9027, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9587, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.0934, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1988, root_relative_squared_error: 0.4183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9893, f_measure: 0.9643, kappa: 0.9212, kb_relative_information_score: 0.9105, mean_absolute_error: 0.0397, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9645, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.0878, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9571, kappa: 0.9052, kb_relative_information_score: 0.9003, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9293, recall: 0.9571, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 0.9087, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.0904, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1762, root_relative_squared_error: 0.3707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9643, kappa: 0.9211, kb_relative_information_score: 0.9109, mean_absolute_error: 0.0391, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.0864, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1898, root_relative_squared_error: 0.3994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9643, kappa: 0.9211, kb_relative_information_score: 0.9078, mean_absolute_error: 0.0409, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9644, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.0905, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1909, root_relative_squared_error: 0.4016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 0.8843, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.124, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9628, kappa: 0.9178, kb_relative_information_score: 0.9092, mean_absolute_error: 0.0401, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.0888, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1817, root_relative_squared_error: 0.3823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9906, f_measure: 0.9629, kappa: 0.918, kb_relative_information_score: 0.9095, mean_absolute_error: 0.0398, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.963, predictive_accuracy: 0.9628, prior_entropy: 0.9293, recall: 0.9628, relative_absolute_error: 0.088, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1872, root_relative_squared_error: 0.3938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9571, kappa: 0.9052, kb_relative_information_score: 0.9003, mean_absolute_error: 0.0433, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9572, predictive_accuracy: 0.9571, prior_entropy: 0.9293, recall: 0.9571, relative_absolute_error: 0.0958, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.4179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9874, f_measure: 0.9543, kappa: 0.8989, kb_relative_information_score: 0.8964, mean_absolute_error: 0.045, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9543, predictive_accuracy: 0.9542, prior_entropy: 0.9293, recall: 0.9542, relative_absolute_error: 0.0995, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2037, root_relative_squared_error: 0.4286,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9614, kappa: 0.9146, kb_relative_information_score: 0.8909, mean_absolute_error: 0.0509, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1779, root_relative_squared_error: 0.3743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9585, kappa: 0.9083, kb_relative_information_score: 0.8972, mean_absolute_error: 0.0455, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9586, predictive_accuracy: 0.9585, prior_entropy: 0.9293, recall: 0.9585, relative_absolute_error: 0.1007, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1925, root_relative_squared_error: 0.405,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9528, kappa: 0.8954, kb_relative_information_score: 0.898, mean_absolute_error: 0.0442, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9527, predictive_accuracy: 0.9528, prior_entropy: 0.9293, recall: 0.9528, relative_absolute_error: 0.0977, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9897, f_measure: 0.9643, kappa: 0.9209, kb_relative_information_score: 0.9147, mean_absolute_error: 0.0373, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9643, predictive_accuracy: 0.9642, prior_entropy: 0.9293, recall: 0.9642, relative_absolute_error: 0.0825, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9571, kappa: 0.905, kb_relative_information_score: 0.8894, mean_absolute_error: 0.0511, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9571, predictive_accuracy: 0.9571, prior_entropy: 0.9293, recall: 0.9571, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1803, root_relative_squared_error: 0.3793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9887, f_measure: 0.9614, kappa: 0.9148, kb_relative_information_score: 0.9006, mean_absolute_error: 0.0444, mean_prior_absolute_error: 0.4519, number_of_instances: 699, precision: 0.9615, predictive_accuracy: 0.9614, prior_entropy: 0.9293, recall: 0.9614, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4753, root_mean_squared_error: 0.1891, root_relative_squared_error: 0.3979,

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