OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43620 runs submitted
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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: 1753.245, usercpu_time_millis: 0.173, usercpu_time_millis_testing: 0.01, 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: 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: 0.8796, 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: 1745.7721, usercpu_time_millis: 0.179, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.167,
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: 1873.4805, 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: 0.7709, f_measure: 0.7035, kappa: 0.4048, kb_relative_information_score: 412.3093, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7308, predictive_accuracy: 0.7165, prior_entropy: 0.9912, recall: 0.7165, relative_absolute_error: 0.7223, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.8665, scimark_benchmark: 1085.2284, usercpu_time_millis: 0.326, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.301,
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: 1755.0172, usercpu_time_millis: 0.176, usercpu_time_millis_testing: 0.012, 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: 1752.6238, usercpu_time_millis: 0.176, usercpu_time_millis_testing: 0.012, 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: 1844.2935, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.19,
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: 1864.8321, 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: 1868.6447, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.011, 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: 1851.1103, usercpu_time_millis: 0.207, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.191,
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: 1862.7829, 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: 1859.8849, usercpu_time_millis: 0.196, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.183,
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: 1894.3434, 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: 0.8331, 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: 1873.9908, 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: 1891.8545, 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: 1865.3572, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.18,
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: 1873.0711, usercpu_time_millis: 0.168, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.16,
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: 1859.4881, usercpu_time_millis: 0.196, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.183,
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: 1045.0987, usercpu_time_millis: 0.318, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.8516, kappa: 0.7007, kb_relative_information_score: 749.9842, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8532, predictive_accuracy: 0.8513, prior_entropy: 0.9912, recall: 0.8513, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7115, scimark_benchmark: 1874.0573, 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: 1873.4078, usercpu_time_millis: 0.174, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.6249, kappa: 0.2713, kb_relative_information_score: 270.5267, mean_absolute_error: 0.4038, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.6947, predictive_accuracy: 0.6604, prior_entropy: 0.9912, recall: 0.6604, relative_absolute_error: 0.8177, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9165, scimark_benchmark: 1872.3546, usercpu_time_millis: 0.165, usercpu_time_millis_testing: 0.009, 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: 1873.4078, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.16,
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: 1407.9674, usercpu_time_millis: 0.239, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.226,
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: 1768.303, 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: 0.9593, f_measure: 0.9396, kappa: 0.878, kb_relative_information_score: 1116.0687, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9403, predictive_accuracy: 0.9395, prior_entropy: 0.9912, recall: 0.9395, relative_absolute_error: 0.2056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2327, root_relative_squared_error: 0.4682, scimark_benchmark: 1871.3925, 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: 0.499, 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: 1743.3608, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.183,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8175, f_measure: 0.7805, kappa: 0.5542, kb_relative_information_score: 574.0662, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.784, predictive_accuracy: 0.7828, prior_entropy: 0.9912, recall: 0.7828, relative_absolute_error: 0.6141, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3949, root_relative_squared_error: 0.7947, scimark_benchmark: 1868.2531, 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: 1766.1954, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.011, 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: 1784.4745, usercpu_time_millis: 0.184, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.171,
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: 1847.9181, usercpu_time_millis: 0.198, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.187,
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: 2105.1151, usercpu_time_millis: 0.155, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.146,
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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: 1791.6828, 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: 0.499, 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: 1754.1079, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.01, 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: 1824.7659, 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: 1833.089, 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: 0.499, 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: 1872.0299, usercpu_time_millis: 0.166, usercpu_time_millis_testing: 0.009, 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: 1833.9096, usercpu_time_millis: 0.178, usercpu_time_millis_testing: 0.011, 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: 1762.7013, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.17,
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: 1842.467, usercpu_time_millis: 0.165, usercpu_time_millis_testing: 0.009, 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: 1850.6428, 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: 0.9157, f_measure: 0.9026, kappa: 0.8022, kb_relative_information_score: 961.8683, mean_absolute_error: 0.163, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9043, predictive_accuracy: 0.9031, prior_entropy: 0.9912, recall: 0.9031, relative_absolute_error: 0.3301, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.5883, scimark_benchmark: 1853.8692, 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: 0.9069, f_measure: 0.9003, kappa: 0.7975, kb_relative_information_score: 948.732, mean_absolute_error: 0.1684, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9026, predictive_accuracy: 0.9009, prior_entropy: 0.9912, recall: 0.9009, relative_absolute_error: 0.341, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2939, root_relative_squared_error: 0.5915, scimark_benchmark: 1802.5463, usercpu_time_millis: 0.189, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8401, f_measure: 0.8516, kappa: 0.7007, kb_relative_information_score: 749.9842, mean_absolute_error: 0.2442, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8532, predictive_accuracy: 0.8513, prior_entropy: 0.9912, recall: 0.8513, relative_absolute_error: 0.4944, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7115, scimark_benchmark: 1870.4545, usercpu_time_millis: 0.186, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.172,
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: 1946.4393, usercpu_time_millis: 0.161, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.154,
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: 1928.3848, 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: 1891.4324, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.012, 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: 1873.4078, 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: 0.8331, 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: 0.887, 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: 1857.5732, usercpu_time_millis: 0.181, usercpu_time_millis_testing: 0.013, 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: 1858.156, 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: 0.499, 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: 1744.5106, usercpu_time_millis: 0.185, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.175,
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: 1876.2965, 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: 1879.7115, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.012, 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: 1874.977, usercpu_time_millis: 0.17, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.159,
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: 1859.6452, 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: 1871.2729, usercpu_time_millis: 0.175, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9414, f_measure: 0.9075, kappa: 0.8128, kb_relative_information_score: 1005.2447, mean_absolute_error: 0.1436, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9076, predictive_accuracy: 0.9074, prior_entropy: 0.9912, recall: 0.9074, relative_absolute_error: 0.2907, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2761, root_relative_squared_error: 0.5555, scimark_benchmark: 1746.1133, usercpu_time_millis: 0.181, usercpu_time_millis_testing: 0.012, 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: 1749.8654, 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: 0.887, 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: 0.012, 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: 1752.8102, 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: 1753.6457, 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: 1752.1591, usercpu_time_millis: 0.174, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.162,

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