OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43620 runs submitted
0 likes downloaded by 0 people , 0 total downloads 0 issues
Visibility: Public
Issue #Downvotes for this reason By


Metric:

43620 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: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1747.6991, usercpu_time_millis: 0.187, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1874.4489, usercpu_time_millis: 0.169, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.169, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1692.7442, usercpu_time_millis: 0.279, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1749.9829, usercpu_time_millis: 0.174, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1751.2522, usercpu_time_millis: 0.176, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1755.0788, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1876.2965, usercpu_time_millis: 0.169, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6117, f_measure: 0.5273, kappa: 0.1358, kb_relative_information_score: 131.6403, mean_absolute_error: 0.45, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6659, predictive_accuracy: 0.6064, prior_entropy: 0.9912, recall: 0.6064, relative_absolute_error: 0.9112, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4778, root_relative_squared_error: 0.9616, scimark_benchmark: 1743.8957, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1090.1293, usercpu_time_millis: 0.29, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1917.0582, usercpu_time_millis: 0.167, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.9042, kappa: 0.8057, kb_relative_information_score: 974.7684, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9048, predictive_accuracy: 0.9045, prior_entropy: 0.9912, recall: 0.9045, relative_absolute_error: 0.3189, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2881, root_relative_squared_error: 0.5798, scimark_benchmark: 1744.9259, usercpu_time_millis: 0.2, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.184,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1839.0963, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1869.6312, usercpu_time_millis: 0.191, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1746.6801, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1871.2001, usercpu_time_millis: 0.173, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.196, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.185,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1872.4881, usercpu_time_millis: 0.162, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1880.137, usercpu_time_millis: 0.168, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1872.6954, usercpu_time_millis: 0.168, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1087.7211, usercpu_time_millis: 0.302, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 0.278,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.169, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1879.6948, usercpu_time_millis: 0.168, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1799.0813, usercpu_time_millis: 0.179, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.167, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8953, f_measure: 0.8965, kappa: 0.7897, kb_relative_information_score: 934.8368, mean_absolute_error: 0.1738, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8996, predictive_accuracy: 0.8972, prior_entropy: 0.9912, recall: 0.8972, relative_absolute_error: 0.352, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2998, root_relative_squared_error: 0.6034, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.174, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1750.1612, usercpu_time_millis: 0.176, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9184, f_measure: 0.916, kappa: 0.8297, kb_relative_information_score: 1010.2213, mean_absolute_error: 0.1447, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9162, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.293, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2738, root_relative_squared_error: 0.5509, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.173, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1859.3608, usercpu_time_millis: 0.178, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1864.7775, usercpu_time_millis: 0.176, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1861.7123, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9149, f_measure: 0.9086, kappa: 0.8146, kb_relative_information_score: 984.2165, mean_absolute_error: 0.1544, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9093, predictive_accuracy: 0.9089, prior_entropy: 0.9912, recall: 0.9089, relative_absolute_error: 0.3127, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2823, root_relative_squared_error: 0.5682, scimark_benchmark: 1876.7581, usercpu_time_millis: 0.169, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.158,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.167, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1870.2804, usercpu_time_millis: 0.163, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.878, kappa: 0.7527, kb_relative_information_score: 859.7552, mean_absolute_error: 0.2026, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8782, predictive_accuracy: 0.8783, prior_entropy: 0.9912, recall: 0.8783, relative_absolute_error: 0.4103, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3237, root_relative_squared_error: 0.6513, scimark_benchmark: 1783.1744, usercpu_time_millis: 0.188, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1873.019, usercpu_time_millis: 0.167, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1774.7585, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.171, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1768.1455, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1835.9717, usercpu_time_millis: 0.179, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.173, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1742.6211, usercpu_time_millis: 0.179, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1863.9794, usercpu_time_millis: 0.182, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9054, f_measure: 0.901, kappa: 0.799, kb_relative_information_score: 950.3081, mean_absolute_error: 0.1679, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9034, predictive_accuracy: 0.9016, prior_entropy: 0.9912, recall: 0.9016, relative_absolute_error: 0.34, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.5897, scimark_benchmark: 1759.7563, usercpu_time_millis: 0.191, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1876.2965, usercpu_time_millis: 0.162, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.155,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1763.7495, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1870.2139, usercpu_time_millis: 0.17, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 2059.4329, usercpu_time_millis: 0.157, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1843.8515, usercpu_time_millis: 0.171, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.173, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.161,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0263, mean_absolute_error: 0.4939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1870.9768, usercpu_time_millis: 0.169, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.16,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8331, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.9384, mean_absolute_error: 0.2476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.5014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3526, root_relative_squared_error: 0.7095, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.18, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.887, f_measure: 0.8934, kappa: 0.7835, kb_relative_information_score: 917.0716, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8975, predictive_accuracy: 0.8943, prior_entropy: 0.9912, recall: 0.8943, relative_absolute_error: 0.3668, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3039, root_relative_squared_error: 0.6116, scimark_benchmark: 1874.5188, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.9237, kappa: 0.8451, kb_relative_information_score: 917.3275, mean_absolute_error: 0.1845, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9262, predictive_accuracy: 0.9242, prior_entropy: 0.9912, recall: 0.9242, relative_absolute_error: 0.3735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2492, root_relative_squared_error: 0.5014, scimark_benchmark: 1872.4216, usercpu_time_millis: 1.976, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 1.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.922, kappa: 0.8419, kb_relative_information_score: 991.4278, mean_absolute_error: 0.1535, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.922, predictive_accuracy: 0.922, prior_entropy: 0.9912, recall: 0.922, relative_absolute_error: 0.3108, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2381, root_relative_squared_error: 0.4792, scimark_benchmark: 1746.6883, usercpu_time_millis: 11.442, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 11.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -25.9384, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062, scimark_benchmark: 1866.6959, usercpu_time_millis: 7.361, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 7.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8675, kappa: 0.7308, kb_relative_information_score: 535.0798, mean_absolute_error: 0.3288, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8723, predictive_accuracy: 0.8688, prior_entropy: 0.9912, recall: 0.8688, relative_absolute_error: 0.6658, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.356, root_relative_squared_error: 0.7164, scimark_benchmark: 1868.4806, usercpu_time_millis: 7.427, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 7.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9866, f_measure: 0.9259, kappa: 0.8495, kb_relative_information_score: 911.6768, mean_absolute_error: 0.1865, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9289, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.3777, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2514, root_relative_squared_error: 0.5058, scimark_benchmark: 1870.9309, usercpu_time_millis: 2.893, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 2.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 1348.9425, mean_absolute_error: 0.0099, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9912, recall: 0.9971, relative_absolute_error: 0.02, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0503, root_relative_squared_error: 0.1011, scimark_benchmark: 1870.1619, usercpu_time_millis: 9.356, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 9.281,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.9222, kappa: 0.842, kb_relative_information_score: 862.3516, mean_absolute_error: 0.2057, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9255, predictive_accuracy: 0.9227, prior_entropy: 0.9912, recall: 0.9227, relative_absolute_error: 0.4165, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.536, scimark_benchmark: 1757.0686, usercpu_time_millis: 1.17, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 1.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9698, f_measure: 0.9239, kappa: 0.8456, kb_relative_information_score: 544.765, mean_absolute_error: 0.3314, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9249, predictive_accuracy: 0.9242, prior_entropy: 0.9912, recall: 0.9242, relative_absolute_error: 0.671, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3473, root_relative_squared_error: 0.6989, scimark_benchmark: 1850.2688, usercpu_time_millis: 10.434, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 10.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -25.9384, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062, scimark_benchmark: 1864.9656, usercpu_time_millis: 15.325, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 15.283,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9385, kappa: 0.8752, kb_relative_information_score: 959.0977, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9399, predictive_accuracy: 0.9388, prior_entropy: 0.9912, recall: 0.9388, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2351, root_relative_squared_error: 0.4731, scimark_benchmark: 1876.6882, usercpu_time_millis: 4.683, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 4.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1313.6523, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9892, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0476, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.1847, scimark_benchmark: 1764.2149, usercpu_time_millis: 4.684, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 4.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1317.0087, mean_absolute_error: 0.022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0446, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0901, root_relative_squared_error: 0.1813, scimark_benchmark: 1767.8215, usercpu_time_millis: 6.108, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 6.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9408, kappa: 0.8798, kb_relative_information_score: 887.3528, mean_absolute_error: 0.1996, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9417, predictive_accuracy: 0.941, prior_entropy: 0.9912, recall: 0.941, relative_absolute_error: 0.4041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2495, root_relative_squared_error: 0.502, scimark_benchmark: 1853.3922, usercpu_time_millis: 6.537, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 6.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9417, kappa: 0.8819, kb_relative_information_score: 1084.9363, mean_absolute_error: 0.1153, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9417, predictive_accuracy: 0.9417, prior_entropy: 0.9912, recall: 0.9417, relative_absolute_error: 0.2334, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2098, root_relative_squared_error: 0.4222, scimark_benchmark: 1851.0407, usercpu_time_millis: 3.432, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 3.419,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1241.8711, mean_absolute_error: 0.0549, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9808, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1111, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.121, root_relative_squared_error: 0.2436, scimark_benchmark: 1830.3669, usercpu_time_millis: 2.365, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 2.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.984, kappa: 0.9676, kb_relative_information_score: 1291.004, mean_absolute_error: 0.0336, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9843, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0681, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1007, root_relative_squared_error: 0.2026, scimark_benchmark: 1828.8339, usercpu_time_millis: 8.512, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 8.507,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9451, f_measure: 0.8132, kappa: 0.6223, kb_relative_information_score: 309.063, mean_absolute_error: 0.4057, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.834, predictive_accuracy: 0.8185, prior_entropy: 0.9912, recall: 0.8185, relative_absolute_error: 0.8214, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4159, root_relative_squared_error: 0.8369, scimark_benchmark: 2152.6708, usercpu_time_millis: 4.203, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 4.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9738, kappa: 0.947, kb_relative_information_score: 892.7258, mean_absolute_error: 0.2036, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9742, predictive_accuracy: 0.9738, prior_entropy: 0.9912, recall: 0.9738, relative_absolute_error: 0.4122, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2352, root_relative_squared_error: 0.4733, scimark_benchmark: 1864.9255, usercpu_time_millis: 8.991, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 8.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9839, f_measure: 0.9278, kappa: 0.8538, kb_relative_information_score: 993.9415, mean_absolute_error: 0.1531, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9278, predictive_accuracy: 0.9278, prior_entropy: 0.9912, recall: 0.9278, relative_absolute_error: 0.31, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2344, root_relative_squared_error: 0.4716, scimark_benchmark: 1832.5194, usercpu_time_millis: 13.212, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 13.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.9075, kappa: 0.8121, kb_relative_information_score: 760.2053, mean_absolute_error: 0.246, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9107, predictive_accuracy: 0.9082, prior_entropy: 0.9912, recall: 0.9082, relative_absolute_error: 0.4982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2937, root_relative_squared_error: 0.5911, scimark_benchmark: 1872.4216, usercpu_time_millis: 1.436, usercpu_time_millis_testing: 0.002, usercpu_time_millis_training: 1.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1273.5641, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9822, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0833, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1083, root_relative_squared_error: 0.2179, scimark_benchmark: 1876.6882, usercpu_time_millis: 3.856, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 3.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1324.1024, mean_absolute_error: 0.0188, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0381, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0873, root_relative_squared_error: 0.1757, scimark_benchmark: 1877.2162, usercpu_time_millis: 3.337, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 3.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9393, f_measure: 0.8325, kappa: 0.6601, kb_relative_information_score: 209.7022, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.842, predictive_accuracy: 0.8353, prior_entropy: 0.9912, recall: 0.8353, relative_absolute_error: 0.8859, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.8884, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.21, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 0.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 1306.114, mean_absolute_error: 0.0265, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.985, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0537, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0958, root_relative_squared_error: 0.1927, scimark_benchmark: 1871.3925, usercpu_time_millis: 4.33, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 4.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9799, f_measure: 0.9188, kappa: 0.8351, kb_relative_information_score: 670.8146, mean_absolute_error: 0.2819, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.92, predictive_accuracy: 0.9191, prior_entropy: 0.9912, recall: 0.9191, relative_absolute_error: 0.5709, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3142, root_relative_squared_error: 0.6323, scimark_benchmark: 1865.7139, usercpu_time_millis: 0.208, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9269, kappa: 0.8518, kb_relative_information_score: 784.3714, mean_absolute_error: 0.2395, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9274, predictive_accuracy: 0.9271, prior_entropy: 0.9912, recall: 0.9271, relative_absolute_error: 0.485, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2805, root_relative_squared_error: 0.5645, scimark_benchmark: 1859.6198, usercpu_time_millis: 2.541, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 2.538,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1330.7654, mean_absolute_error: 0.0158, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0321, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0849, root_relative_squared_error: 0.1709, scimark_benchmark: 1755.981, usercpu_time_millis: 6.119, usercpu_time_millis_testing: 0.002, usercpu_time_millis_training: 6.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9745, kappa: 0.9485, kb_relative_information_score: 1181.1681, mean_absolute_error: 0.0817, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9749, predictive_accuracy: 0.9745, prior_entropy: 0.9912, recall: 0.9745, relative_absolute_error: 0.1655, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1412, root_relative_squared_error: 0.2842, scimark_benchmark: 1769.7872, usercpu_time_millis: 1.162, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 1.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.9466, kappa: 0.8918, kb_relative_information_score: 1004.1495, mean_absolute_error: 0.1506, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9474, predictive_accuracy: 0.9468, prior_entropy: 0.9912, recall: 0.9468, relative_absolute_error: 0.3049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2204, root_relative_squared_error: 0.4435, scimark_benchmark: 1876.6882, usercpu_time_millis: 3.983, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 3.976,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1326.1052, mean_absolute_error: 0.0179, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.0362, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0871, root_relative_squared_error: 0.1752, scimark_benchmark: 1872.0299, usercpu_time_millis: 6.883, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 6.879,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9959, f_measure: 0.965, kappa: 0.9292, kb_relative_information_score: 818.0193, mean_absolute_error: 0.2318, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9651, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.4694, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.261, root_relative_squared_error: 0.5252, scimark_benchmark: 1873.4078, usercpu_time_millis: 4.842, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 4.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9687, kappa: 0.9365, kb_relative_information_score: 1080.0427, mean_absolute_error: 0.1231, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9687, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.2492, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1866, root_relative_squared_error: 0.3754, scimark_benchmark: 1838.5631, usercpu_time_millis: 7.219, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 7.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9789, kappa: 0.9573, kb_relative_information_score: 1007.8766, mean_absolute_error: 0.1575, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9794, predictive_accuracy: 0.9789, prior_entropy: 0.9912, recall: 0.9789, relative_absolute_error: 0.3188, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1951, root_relative_squared_error: 0.3927, scimark_benchmark: 1873.809, usercpu_time_millis: 4.47, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 4.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1331.7884, mean_absolute_error: 0.0154, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0311, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1707, scimark_benchmark: 1855.1008, usercpu_time_millis: 7.861, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 7.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9285, f_measure: 0.8081, kappa: 0.611, kb_relative_information_score: 48.6037, mean_absolute_error: 0.4816, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8199, predictive_accuracy: 0.812, prior_entropy: 0.9912, recall: 0.812, relative_absolute_error: 0.9752, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.482, root_relative_squared_error: 0.97, scimark_benchmark: 1874.0573, usercpu_time_millis: 0.163, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1207.4824, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9824, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1446, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.2574, scimark_benchmark: 1777.0375, usercpu_time_millis: 8.252, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 8.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9141, kappa: 0.8256, kb_relative_information_score: 831.6284, mean_absolute_error: 0.2176, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9171, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.4406, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2753, root_relative_squared_error: 0.5541, scimark_benchmark: 1741.5594, usercpu_time_millis: 1.423, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 1.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9825, kappa: 0.9647, kb_relative_information_score: 1254.872, mean_absolute_error: 0.05, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9831, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.1012, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.113, root_relative_squared_error: 0.2274, scimark_benchmark: 1851.8128, usercpu_time_millis: 0.485, usercpu_time_millis_testing: 0.003, usercpu_time_millis_training: 0.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9892, f_measure: 0.9385, kappa: 0.875, kb_relative_information_score: 950.6622, mean_absolute_error: 0.1714, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9405, predictive_accuracy: 0.9388, prior_entropy: 0.9912, recall: 0.9388, relative_absolute_error: 0.347, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2389, root_relative_squared_error: 0.4807, scimark_benchmark: 2160.4422, usercpu_time_millis: 3.933, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 3.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9635, kappa: 0.9261, kb_relative_information_score: 990.815, mean_absolute_error: 0.1607, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9636, predictive_accuracy: 0.9636, prior_entropy: 0.9912, recall: 0.9636, relative_absolute_error: 0.3254, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2101, root_relative_squared_error: 0.4228, scimark_benchmark: 1872.9496, usercpu_time_millis: 4.944, usercpu_time_millis_testing: 0.004, usercpu_time_millis_training: 4.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 1193.5099, mean_absolute_error: 0.077, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9808, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.1559, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1347, root_relative_squared_error: 0.271, scimark_benchmark: 1854.1481, usercpu_time_millis: 7.232, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 7.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1241.9416, mean_absolute_error: 0.0556, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9823, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.1126, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1182, root_relative_squared_error: 0.2379, scimark_benchmark: 1862.8804, usercpu_time_millis: 5.488, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 5.482,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1320.0056, mean_absolute_error: 0.0206, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0416, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1796, scimark_benchmark: 1869.1727, usercpu_time_millis: 3.013, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 3.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -25.9384, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.3085, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 1.0124, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0062, scimark_benchmark: 1726.9824, usercpu_time_millis: 5.707, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 5.692,

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