OpenML
Supervised Classification on heart-statlog

Supervised Classification on heart-statlog

Task 282 Supervised Classification heart-statlog 1419 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

1419 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: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1759.3309, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1762.0937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.6906, kappa: 0.3875, kb_relative_information_score: 28.3838, mean_absolute_error: 0.3536, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7069, predictive_accuracy: 0.6966, prior_entropy: 0.9912, recall: 0.6966, relative_absolute_error: 0.7097, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4636, root_relative_squared_error: 0.9249, scimark_benchmark: 1767.0633, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1770.489,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1772.2508, usercpu_time_millis: 0.01, usercpu_time_millis_testing: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1766.0425, usercpu_time_millis: 0.02, usercpu_time_millis_testing: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1766.0459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1762.5421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1775.6457, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1763.0845, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1754.6185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1758.5882, usercpu_time_millis: 0.01, usercpu_time_millis_testing: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1760.9835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1764.783, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1759.4647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1763.3776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1769.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1764.7549,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1758.3087, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1746.6901,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1762.4395,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1762.5939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1734.7108,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1726.0913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1729.0096, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7401, f_measure: 0.741, kappa: 0.4814, kb_relative_information_score: 26.9232, mean_absolute_error: 0.3691, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7421, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.88, scimark_benchmark: 1759.5856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1757.3563,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1757.8331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1670.2687, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1678.7148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1683.0768, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1760.7115,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1757.4794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1756.5021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1768.3946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1762.3451, usercpu_time_millis: 0.02, usercpu_time_millis_testing: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8196, kappa: 0.6389, kb_relative_information_score: 51.2147, mean_absolute_error: 0.2244, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8223, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4505, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3515, root_relative_squared_error: 0.7014, scimark_benchmark: 1759.1794, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1744.2718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1753.9676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1760.0278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8196, kappa: 0.6389, kb_relative_information_score: 51.2892, mean_absolute_error: 0.2239, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8223, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4494, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7023, scimark_benchmark: 1761.8618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1752.0972,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8787, f_measure: 0.5974, kappa: 0.2858, kb_relative_information_score: 9.7508, mean_absolute_error: 0.4569, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7919, predictive_accuracy: 0.6517, prior_entropy: 0.9912, recall: 0.6517, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4653, root_relative_squared_error: 0.9285, scimark_benchmark: 1759.1214, usercpu_time_millis: 0.02, usercpu_time_millis_testing: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.808, kappa: 0.6161, kb_relative_information_score: 49.086, mean_absolute_error: 0.2379, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8122, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.4776, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3529, root_relative_squared_error: 0.7042, scimark_benchmark: 1762.8752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.91, f_measure: 0.7964, kappa: 0.5932, kb_relative_information_score: 45.5418, mean_absolute_error: 0.2611, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8024, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.5242, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3587, root_relative_squared_error: 0.7157, scimark_benchmark: 1759.4157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1759.7097, usercpu_time_millis: 0.02, usercpu_time_millis_testing: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.3522, kb_relative_information_score: 3.8784, mean_absolute_error: 0.482, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9676, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4882, root_relative_squared_error: 0.9741, scimark_benchmark: 1761.2628,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1750.8106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1768.3175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8908, f_measure: 0.7836, kappa: 0.5696, kb_relative_information_score: 33.1286, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7974, predictive_accuracy: 0.7865, prior_entropy: 0.9912, recall: 0.7865, relative_absolute_error: 0.677, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3864, root_relative_squared_error: 0.7711, scimark_benchmark: 1760.1409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1760.4166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1753.631,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8999, f_measure: 0.8063, kappa: 0.6149, kb_relative_information_score: 29.8965, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.821, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.7174, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.7818, scimark_benchmark: 1766.3241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1773.6455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1768.5507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8938, f_measure: 0.6959, kappa: 0.4276, kb_relative_information_score: 13.7908, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.7961, predictive_accuracy: 0.7191, prior_entropy: 0.9912, recall: 0.7191, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.8974, scimark_benchmark: 1761.4253, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1769.3181,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9044, f_measure: 0.8073, kappa: 0.6155, kb_relative_information_score: 42.504, mean_absolute_error: 0.2815, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8159, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5651, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3618, root_relative_squared_error: 0.722, scimark_benchmark: 1769.5983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.3522, kb_relative_information_score: 0.6192, mean_absolute_error: 0.4954, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9945, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.501, root_relative_squared_error: 0.9996, scimark_benchmark: 1760.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1769.282,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1766.0677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.3522, kb_relative_information_score: 5.1341, mean_absolute_error: 0.4769, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9574, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4837, root_relative_squared_error: 0.9651, scimark_benchmark: 1764.4189, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1760.8555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8196, kappa: 0.6389, kb_relative_information_score: 51.1475, mean_absolute_error: 0.2249, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8223, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4514, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3513, root_relative_squared_error: 0.701, scimark_benchmark: 1758.011, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1757.0307, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8948, f_measure: 0.793, kappa: 0.5913, kb_relative_information_score: 26.0901, mean_absolute_error: 0.3778, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8196, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.7585, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.4052, root_relative_squared_error: 0.8085, scimark_benchmark: 1730.0574,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1765.8948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.7955, kappa: 0.5926, kb_relative_information_score: 36.0855, mean_absolute_error: 0.3214, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8066, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.6452, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3753, root_relative_squared_error: 0.7488, scimark_benchmark: 1763.3684, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1760.6323, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9191, f_measure: 0.8196, kappa: 0.6389, kb_relative_information_score: 51.3056, mean_absolute_error: 0.2238, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8223, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4492, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7021, scimark_benchmark: 1770.6118, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.912, f_measure: 0.7964, kappa: 0.5932, kb_relative_information_score: 46.4837, mean_absolute_error: 0.2548, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8024, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.5115, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.359, root_relative_squared_error: 0.7163, scimark_benchmark: 1755.8137, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1755.4709, usercpu_time_millis: 0.01, usercpu_time_millis_testing: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8959, f_measure: 0.7238, kappa: 0.4742, kb_relative_information_score: 16.5905, mean_absolute_error: 0.4261, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8083, predictive_accuracy: 0.7416, prior_entropy: 0.9912, recall: 0.7416, relative_absolute_error: 0.8553, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.439, root_relative_squared_error: 0.8759, scimark_benchmark: 1770.2934,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8196, kappa: 0.6389, kb_relative_information_score: 50.8491, mean_absolute_error: 0.2267, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8223, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.455, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7032, scimark_benchmark: 1760.5479, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1763.3331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9171, f_measure: 0.808, kappa: 0.6161, kb_relative_information_score: 48.8168, mean_absolute_error: 0.2394, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8122, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.4806, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3547, root_relative_squared_error: 0.7077, scimark_benchmark: 1769.6891, usercpu_time_millis: 0.02, usercpu_time_millis_testing: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9004, f_measure: 0.8073, kappa: 0.6155, kb_relative_information_score: 40.479, mean_absolute_error: 0.2945, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8159, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5913, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3662, root_relative_squared_error: 0.7307, scimark_benchmark: 1765.5345, usercpu_time_millis: 0.02, usercpu_time_millis_testing: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.8073, kappa: 0.6155, kb_relative_information_score: 40.6684, mean_absolute_error: 0.2931, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8159, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5883, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3672, root_relative_squared_error: 0.7327, scimark_benchmark: 1676.3853, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8196, kappa: 0.6389, kb_relative_information_score: 51.1658, mean_absolute_error: 0.2247, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8223, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.451, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3521, root_relative_squared_error: 0.7026, scimark_benchmark: 1763.0876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8196, kappa: 0.6389, kb_relative_information_score: 50.7891, mean_absolute_error: 0.2271, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8223, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4558, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3525, root_relative_squared_error: 0.7033, scimark_benchmark: 1764.5945, usercpu_time_millis: 0.02, usercpu_time_millis_testing: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1760.0532, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9095, f_measure: 0.7964, kappa: 0.5932, kb_relative_information_score: 45.0031, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8024, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.5314, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3588, root_relative_squared_error: 0.7159, scimark_benchmark: 1764.8503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1761.5128, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1755.5414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1768.7591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1767.4437,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9186, f_measure: 0.8196, kappa: 0.6389, kb_relative_information_score: 51.33, mean_absolute_error: 0.2236, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8223, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4489, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7021, scimark_benchmark: 1767.6828,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1763.9352, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1754.9166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1763.0641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1768.5222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9135, f_measure: 0.7964, kappa: 0.5932, kb_relative_information_score: 46.9677, mean_absolute_error: 0.2514, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8024, predictive_accuracy: 0.7978, prior_entropy: 0.9912, recall: 0.7978, relative_absolute_error: 0.5047, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3581, root_relative_squared_error: 0.7146, scimark_benchmark: 1768.0192, usercpu_time_millis: 0.02, usercpu_time_millis_testing: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1762.1987, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9196, f_measure: 0.8196, kappa: 0.6389, kb_relative_information_score: 50.5313, mean_absolute_error: 0.2288, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8223, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4593, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3519, root_relative_squared_error: 0.7021, scimark_benchmark: 1764.3587,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1762.2164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1766.6501, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9201, f_measure: 0.8196, kappa: 0.6389, kb_relative_information_score: 50.8128, mean_absolute_error: 0.227, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8223, predictive_accuracy: 0.8202, prior_entropy: 0.9912, recall: 0.8202, relative_absolute_error: 0.4557, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3516, root_relative_squared_error: 0.7016, scimark_benchmark: 1761.6895, usercpu_time_millis: 0.01, usercpu_time_millis_training: 0.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1761.8234, usercpu_time_millis: 0.02, usercpu_time_millis_training: 0.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.906, f_measure: 0.8073, kappa: 0.6155, kb_relative_information_score: 40.9097, mean_absolute_error: 0.2915, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.8159, predictive_accuracy: 0.809, prior_entropy: 0.9912, recall: 0.809, relative_absolute_error: 0.5852, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.3636, root_relative_squared_error: 0.7255, scimark_benchmark: 1770.4539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3522, kb_relative_information_score: 0.1503, mean_absolute_error: 0.4975, mean_prior_absolute_error: 0.4981, number_of_instances: 89, precision: 0.2671, predictive_accuracy: 0.5169, prior_entropy: 0.9912, recall: 0.5169, relative_absolute_error: 0.9987, root_mean_prior_squared_error: 0.5012, root_mean_squared_error: 0.503, root_relative_squared_error: 1.0037, scimark_benchmark: 1762.9346, usercpu_time_millis: 0.02, usercpu_time_millis_testing: 0.02,

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