Task
Supervised Classification on wall-robot-navigation

Supervised Classification on wall-robot-navigation

Task 9960 Supervised Classification wall-robot-navigation 20384 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_7 study_98 study_99
Issue #Downvotes for this reason By


Metric:

20384 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: 0.9978, f_measure: 0.9919, kappa: 0.9878, kb_relative_information_score: 5391.7774, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9919, predictive_accuracy: 0.9919, prior_entropy: 1.7151, recall: 0.9919, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0533, root_relative_squared_error: 0.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5398.6276, mean_absolute_error: 0.0037, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.011, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9912, kappa: 0.9867, kb_relative_information_score: 5378.2101, mean_absolute_error: 0.0052, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 1.7151, recall: 0.9912, relative_absolute_error: 0.0158, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5365.0014, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0624, root_relative_squared_error: 0.1533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5368.8505, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0615, root_relative_squared_error: 0.1512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9936, kappa: 0.9903, kb_relative_information_score: 5403.9141, mean_absolute_error: 0.0032, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 1.7151, recall: 0.9936, relative_absolute_error: 0.0097, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0498, root_relative_squared_error: 0.1225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5381.4079, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.0151, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0575, root_relative_squared_error: 0.1413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5376.0934, mean_absolute_error: 0.0054, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.0163, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0594, root_relative_squared_error: 0.1459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9925, kappa: 0.9887, kb_relative_information_score: 5390.6541, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 1.7151, recall: 0.9925, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.054, root_relative_squared_error: 0.1328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.1718, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5387.0153, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 1.7151, recall: 0.9927, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5391.0443, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 1.7151, recall: 0.9921, relative_absolute_error: 0.0128, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0554, root_relative_squared_error: 0.136,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5373.226, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0168, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0603, root_relative_squared_error: 0.1481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5402.91, mean_absolute_error: 0.0034, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.0102, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0496, root_relative_squared_error: 0.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 343.859, mean_absolute_error: 0.3531, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7151, recall: 0.9978, relative_absolute_error: 1.0659, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4077, root_relative_squared_error: 1.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5375.3385, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.0203, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0463, root_relative_squared_error: 0.1138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9883, kappa: 0.9823, kb_relative_information_score: 5274.6684, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9887, predictive_accuracy: 0.9883, prior_entropy: 1.7151, recall: 0.9883, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0723, root_relative_squared_error: 0.1775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5369.6445, mean_absolute_error: 0.006, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0182, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.1509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9943, kappa: 0.9914, kb_relative_information_score: 5410.9, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9943, predictive_accuracy: 0.9943, prior_entropy: 1.7151, recall: 0.9943, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0489, root_relative_squared_error: 0.1203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5413.6099, mean_absolute_error: 0.0024, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0071, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0473, root_relative_squared_error: 0.1162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9837, kappa: 0.9752, kb_relative_information_score: 5291.2603, mean_absolute_error: 0.0135, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9846, predictive_accuracy: 0.9835, prior_entropy: 1.7151, recall: 0.9835, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5380.1982, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.0155, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0579, root_relative_squared_error: 0.1423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 431.7663, mean_absolute_error: 0.3481, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 1.0508, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.9877,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 5431.5981, mean_absolute_error: 0.0012, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7151, recall: 0.9976, relative_absolute_error: 0.0036, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0331, root_relative_squared_error: 0.0813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9982, kappa: 0.9972, kb_relative_information_score: 5434.4721, mean_absolute_error: 0.001, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9982, predictive_accuracy: 0.9982, prior_entropy: 1.7151, recall: 0.9982, relative_absolute_error: 0.003, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0304, root_relative_squared_error: 0.0746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8791, f_measure: 0.8741, kappa: 0.812, kb_relative_information_score: 1892.266, mean_absolute_error: 0.2615, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8878, predictive_accuracy: 0.8723, prior_entropy: 1.7151, recall: 0.8723, relative_absolute_error: 0.7896, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.8935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9969, kappa: 0.9953, kb_relative_information_score: 5396.4541, mean_absolute_error: 0.0049, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9969, predictive_accuracy: 0.9969, prior_entropy: 1.7151, recall: 0.9969, relative_absolute_error: 0.0149, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0392, root_relative_squared_error: 0.0963,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5375.3443, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.0165, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0596, root_relative_squared_error: 0.1465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9925, kappa: 0.9887, kb_relative_information_score: 5386.4464, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9925, predictive_accuracy: 0.9925, prior_entropy: 1.7151, recall: 0.9925, relative_absolute_error: 0.0138, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0565, root_relative_squared_error: 0.1387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5363.9655, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0192, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0625, root_relative_squared_error: 0.1536,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5410.9004, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.0077, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1234,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5416.4794, mean_absolute_error: 0.0022, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.0068, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0452, root_relative_squared_error: 0.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5279.3311, mean_absolute_error: 0.0164, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0496, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.1368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5228.6756, mean_absolute_error: 0.0208, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 1.7151, recall: 0.9927, relative_absolute_error: 0.0627, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0673, root_relative_squared_error: 0.1655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5369.8422, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9909, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.062, root_relative_squared_error: 0.1523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5384.1055, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9928, kappa: 0.9892, kb_relative_information_score: 5389.8968, mean_absolute_error: 0.0042, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7151, recall: 0.9929, relative_absolute_error: 0.0127, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.1378,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5391.7895, mean_absolute_error: 0.0043, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.0129, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0544, root_relative_squared_error: 0.1337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5399.3072, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0401, root_relative_squared_error: 0.0986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5364.9649, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0623, root_relative_squared_error: 0.1531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5384.6688, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0145, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0566, root_relative_squared_error: 0.1392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9929, kappa: 0.9892, kb_relative_information_score: 5395.0576, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9929, predictive_accuracy: 0.9929, prior_entropy: 1.7151, recall: 0.9929, relative_absolute_error: 0.0119, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0525, root_relative_squared_error: 0.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9963, kappa: 0.9945, kb_relative_information_score: 5352.6183, mean_absolute_error: 0.0093, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9963, predictive_accuracy: 0.9963, prior_entropy: 1.7151, recall: 0.9963, relative_absolute_error: 0.0279, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0459, root_relative_squared_error: 0.1128,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5392.8934, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.0139, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0467, root_relative_squared_error: 0.1146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 474.9921, mean_absolute_error: 0.345, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 1.0415, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3985, root_relative_squared_error: 0.9792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5364.6221, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.019, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0621, root_relative_squared_error: 0.1525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9921, kappa: 0.9881, kb_relative_information_score: 5399.0677, mean_absolute_error: 0.0036, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9921, predictive_accuracy: 0.9921, prior_entropy: 1.7151, recall: 0.9921, relative_absolute_error: 0.0108, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.053, root_relative_squared_error: 0.1304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5370.4338, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9908, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.0176, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.1503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9974, kappa: 0.9961, kb_relative_information_score: 203.055, mean_absolute_error: 0.3612, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9974, predictive_accuracy: 0.9974, prior_entropy: 1.7151, recall: 0.9974, relative_absolute_error: 1.0904, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4172, root_relative_squared_error: 1.0251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.2783, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0143, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9965, kappa: 0.9947, kb_relative_information_score: 523.7292, mean_absolute_error: 0.3421, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9965, predictive_accuracy: 0.9965, prior_entropy: 1.7151, recall: 0.9965, relative_absolute_error: 1.0329, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3951, root_relative_squared_error: 0.9708,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9936, kappa: 0.9903, kb_relative_information_score: 458.8409, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9936, predictive_accuracy: 0.9936, prior_entropy: 1.7151, recall: 0.9936, relative_absolute_error: 1.0444, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3997, root_relative_squared_error: 0.9821,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 286.6275, mean_absolute_error: 0.3568, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 1.077, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.412, root_relative_squared_error: 1.0125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5380.6002, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.0153, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0581, root_relative_squared_error: 0.1428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9851, kappa: 0.9775, kb_relative_information_score: 4676.133, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9851, predictive_accuracy: 0.9852, prior_entropy: 1.7151, recall: 0.9852, relative_absolute_error: 0.2155, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.3101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9961, kappa: 0.9942, kb_relative_information_score: 5364.7524, mean_absolute_error: 0.0082, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9962, predictive_accuracy: 0.9962, prior_entropy: 1.7151, recall: 0.9962, relative_absolute_error: 0.0249, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0427, root_relative_squared_error: 0.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5281.1336, mean_absolute_error: 0.0157, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.0474, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0612, root_relative_squared_error: 0.1503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5375.6704, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0202, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0449, root_relative_squared_error: 0.1102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.0938, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0558, root_relative_squared_error: 0.1372,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.991, kappa: 0.9864, kb_relative_information_score: 5376.6222, mean_absolute_error: 0.0053, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.991, predictive_accuracy: 0.991, prior_entropy: 1.7151, recall: 0.991, relative_absolute_error: 0.0161, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0593, root_relative_squared_error: 0.1456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 4990.0682, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.1321, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0908, root_relative_squared_error: 0.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5337.0712, mean_absolute_error: 0.0106, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0319, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9966, f_measure: 0.9951, kappa: 0.9925, kb_relative_information_score: 534.8452, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 533.2844, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 1.0312, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9693,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5384.1736, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0146, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.056, root_relative_squared_error: 0.1377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5364.9305, mean_absolute_error: 0.0063, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0189, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0622, root_relative_squared_error: 0.1527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 369.6313, mean_absolute_error: 0.352, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7151, recall: 0.9976, relative_absolute_error: 1.0627, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4066, root_relative_squared_error: 0.9991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5401.8102, mean_absolute_error: 0.0039, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0117, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0431, root_relative_squared_error: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9879, kappa: 0.9817, kb_relative_information_score: 4875.8174, mean_absolute_error: 0.0536, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9879, predictive_accuracy: 0.9879, prior_entropy: 1.7151, recall: 0.9879, relative_absolute_error: 0.1618, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1063, root_relative_squared_error: 0.2613,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.6151, mean_absolute_error: 0.0047, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0142, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0561, root_relative_squared_error: 0.1377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 5416.1367, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 0.007, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.1084,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9978, kappa: 0.9967, kb_relative_information_score: 463.4207, mean_absolute_error: 0.346, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 1.7151, recall: 0.9978, relative_absolute_error: 1.0446, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3996, root_relative_squared_error: 0.9819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9956, kappa: 0.9934, kb_relative_information_score: 5245.3965, mean_absolute_error: 0.0199, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 1.7151, recall: 0.9956, relative_absolute_error: 0.0601, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0589, root_relative_squared_error: 0.1448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5382.7179, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0564, root_relative_squared_error: 0.1386,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9905, kappa: 0.9856, kb_relative_information_score: 5369.5592, mean_absolute_error: 0.0061, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 1.7151, recall: 0.9905, relative_absolute_error: 0.0184, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0614, root_relative_squared_error: 0.1509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9941, kappa: 0.9911, kb_relative_information_score: 5284.4821, mean_absolute_error: 0.0156, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9942, predictive_accuracy: 0.9941, prior_entropy: 1.7151, recall: 0.9941, relative_absolute_error: 0.0472, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0586, root_relative_squared_error: 0.1441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9954, kappa: 0.9931, kb_relative_information_score: 534.6507, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9954, predictive_accuracy: 0.9954, prior_entropy: 1.7151, recall: 0.9954, relative_absolute_error: 1.031, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3944, root_relative_squared_error: 0.9691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 534.8295, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 1.0309, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3943, root_relative_squared_error: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9949, kappa: 0.9923, kb_relative_information_score: 5347.69, mean_absolute_error: 0.0097, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 1.7151, recall: 0.9949, relative_absolute_error: 0.0292, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0481, root_relative_squared_error: 0.1183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9983, kappa: 0.9975, kb_relative_information_score: 5437.7686, mean_absolute_error: 0.0009, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9984, predictive_accuracy: 0.9984, prior_entropy: 1.7151, recall: 0.9984, relative_absolute_error: 0.0026, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0283, root_relative_squared_error: 0.0696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9945, kappa: 0.9917, kb_relative_information_score: 5335.1862, mean_absolute_error: 0.0109, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9945, predictive_accuracy: 0.9945, prior_entropy: 1.7151, recall: 0.9945, relative_absolute_error: 0.0329, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0505, root_relative_squared_error: 0.1241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9976, kappa: 0.9964, kb_relative_information_score: 5429.027, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9976, predictive_accuracy: 0.9976, prior_entropy: 1.7151, recall: 0.9976, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0349, root_relative_squared_error: 0.0857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.99, kb_relative_information_score: 5353.741, mean_absolute_error: 0.0086, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9934, predictive_accuracy: 0.9934, prior_entropy: 1.7151, recall: 0.9934, relative_absolute_error: 0.0261, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0509, root_relative_squared_error: 0.1252,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.966, kappa: 0.9491, kb_relative_information_score: 4850.746, mean_absolute_error: 0.0542, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9682, predictive_accuracy: 0.9661, prior_entropy: 1.7151, recall: 0.9661, relative_absolute_error: 0.1636, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.1284, root_relative_squared_error: 0.3156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9583, kappa: 0.9377, kb_relative_information_score: 159.2916, mean_absolute_error: 0.3627, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9597, predictive_accuracy: 0.9589, prior_entropy: 1.7151, recall: 0.9589, relative_absolute_error: 1.095, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.419, root_relative_squared_error: 1.0295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.995, kappa: 0.9925, kb_relative_information_score: 5411.8188, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9951, predictive_accuracy: 0.9951, prior_entropy: 1.7151, recall: 0.9951, relative_absolute_error: 0.008, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0458, root_relative_squared_error: 0.1126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9912, kappa: 0.9867, kb_relative_information_score: 5117.5993, mean_absolute_error: 0.0314, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9912, predictive_accuracy: 0.9912, prior_entropy: 1.7151, recall: 0.9912, relative_absolute_error: 0.0949, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.1929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9829, f_measure: 0.9492, kappa: 0.9235, kb_relative_information_score: 67.3498, mean_absolute_error: 0.3683, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9502, predictive_accuracy: 0.9498, prior_entropy: 1.7151, recall: 0.9498, relative_absolute_error: 1.1118, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.4253, root_relative_squared_error: 1.0451,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9952, kappa: 0.9928, kb_relative_information_score: 5277.91, mean_absolute_error: 0.0168, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9952, predictive_accuracy: 0.9952, prior_entropy: 1.7151, recall: 0.9952, relative_absolute_error: 0.0507, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.1368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 5426.2344, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7151, recall: 0.9971, relative_absolute_error: 0.0048, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0369, root_relative_squared_error: 0.0908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9443, f_measure: 0.718, kappa: 0.6122, kb_relative_information_score: 2690.934, mean_absolute_error: 0.2154, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.8197, predictive_accuracy: 0.7562, prior_entropy: 1.7151, recall: 0.7562, relative_absolute_error: 0.6504, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.3026, root_relative_squared_error: 0.7435,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9971, kappa: 0.9956, kb_relative_information_score: 5427.2497, mean_absolute_error: 0.0016, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 1.7151, recall: 0.9971, relative_absolute_error: 0.0047, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0372, root_relative_squared_error: 0.0913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.998, kappa: 0.997, kb_relative_information_score: 5436.3113, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.998, predictive_accuracy: 0.998, prior_entropy: 1.7151, recall: 0.998, relative_absolute_error: 0.0033, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.03, root_relative_squared_error: 0.0737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9919, kappa: 0.9878, kb_relative_information_score: 5327.1582, mean_absolute_error: 0.0111, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.992, predictive_accuracy: 0.9919, prior_entropy: 1.7151, recall: 0.9919, relative_absolute_error: 0.0336, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0568, root_relative_squared_error: 0.1397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9927, kappa: 0.9889, kb_relative_information_score: 5387.8747, mean_absolute_error: 0.0045, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 1.7151, recall: 0.9927, relative_absolute_error: 0.0137, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.1368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9908, kappa: 0.9862, kb_relative_information_score: 5371.1808, mean_absolute_error: 0.0058, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9908, predictive_accuracy: 0.9908, prior_entropy: 1.7151, recall: 0.9908, relative_absolute_error: 0.0174, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0608, root_relative_squared_error: 0.1494,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9958, kappa: 0.9936, kb_relative_information_score: 5416.9791, mean_absolute_error: 0.0023, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9958, predictive_accuracy: 0.9958, prior_entropy: 1.7151, recall: 0.9958, relative_absolute_error: 0.0069, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.1077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.0076, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0562, root_relative_squared_error: 0.1382,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9923, kappa: 0.9884, kb_relative_information_score: 5385.0726, mean_absolute_error: 0.0048, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9923, predictive_accuracy: 0.9923, prior_entropy: 1.7151, recall: 0.9923, relative_absolute_error: 0.0144, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0557, root_relative_squared_error: 0.1369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9914, kappa: 0.987, kb_relative_information_score: 5381.4764, mean_absolute_error: 0.005, mean_prior_absolute_error: 0.3312, number_of_instances: 5456, precision: 0.9914, predictive_accuracy: 0.9914, prior_entropy: 1.7151, recall: 0.9914, relative_absolute_error: 0.0151, root_mean_prior_squared_error: 0.4069, root_mean_squared_error: 0.0574, root_relative_squared_error: 0.1412,

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