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: 0.8331, 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: 1956.2879, usercpu_time_millis: 0.164, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.154,
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: 1872.4216, 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: 0.499, 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: 1823.368, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.167,
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: 1844.9257, 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: 0.499, 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: 1872.9496, 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: 0.499, 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: 1873.8078, usercpu_time_millis: 0.172, usercpu_time_millis_testing: 0.009, 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: 1884.4714, 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: 1902.5263, 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: 0.499, 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: 750.9656, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.206,
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: 1841.6148, usercpu_time_millis: 0.187, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.174,
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: 0.177, usercpu_time_millis_testing: 0.01, 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: 1867.1999, 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: 1872.0458, 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: 0.8826, f_measure: 0.8851, kappa: 0.7669, kb_relative_information_score: 882.4433, mean_absolute_error: 0.1944, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.886, predictive_accuracy: 0.8856, prior_entropy: 0.9912, recall: 0.8856, relative_absolute_error: 0.3937, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.635, scimark_benchmark: 1834.4757, usercpu_time_millis: 0.18, usercpu_time_millis_testing: 0.011, 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: 1863.4543, usercpu_time_millis: 0.197, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.183,
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: 1877.1828, usercpu_time_millis: 0.163, usercpu_time_millis_testing: 0.008, 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: 1735.226, usercpu_time_millis: 0.203, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.189,
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: 1928.9112, 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: 0.9659, f_measure: 0.9367, kappa: 0.8724, kb_relative_information_score: 1118.6738, mean_absolute_error: 0.0987, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9384, predictive_accuracy: 0.9366, prior_entropy: 0.9912, recall: 0.9366, relative_absolute_error: 0.1999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2307, root_relative_squared_error: 0.4642, scimark_benchmark: 1834.0022, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.178,
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: 1752.5633, usercpu_time_millis: 0.181, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.167,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8917, f_measure: 0.9009, kappa: 0.7988, kb_relative_information_score: 943.0764, mean_absolute_error: 0.1715, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9037, predictive_accuracy: 0.9016, prior_entropy: 0.9912, recall: 0.9016, relative_absolute_error: 0.3472, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.296, root_relative_squared_error: 0.5956, scimark_benchmark: 1752.8477, 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: 0.8331, 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: 1855.3886, 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: 0.499, 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: 1853.0277, usercpu_time_millis: 0.163, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.155,
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: 1817.1497, usercpu_time_millis: 0.178, usercpu_time_millis_testing: 0.009, 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: 1836.3912, 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: 1815.6163, usercpu_time_millis: 0.185, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.173,
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: 2035.8945, 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: 1755.4795, usercpu_time_millis: 0.184, usercpu_time_millis_testing: 0.012, 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: 1828.8915, 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: 1852.1716, usercpu_time_millis: 0.185, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.173,
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: 1746.9478, usercpu_time_millis: 0.187, usercpu_time_millis_testing: 0.012, 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: 1758.8259, 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: 0.499, 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: 1759.2905, usercpu_time_millis: 0.167, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.157,
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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: 1849.519, usercpu_time_millis: 0.176, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.166,
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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: 1846.9846, 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: 1845.2831, usercpu_time_millis: 0.166, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9582, f_measure: 0.9279, kappa: 0.8543, kb_relative_information_score: 1079.85, mean_absolute_error: 0.1145, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9284, predictive_accuracy: 0.9278, prior_entropy: 0.9912, recall: 0.9278, relative_absolute_error: 0.2318, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2449, root_relative_squared_error: 0.4929, scimark_benchmark: 1840.5263, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.172,
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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: 1865.6164, usercpu_time_millis: 0.199, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.184,
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: 1870.1592, usercpu_time_millis: 0.182, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.17,
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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: 1753.3033, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 0.169,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9048, f_measure: 0.901, kappa: 0.799, kb_relative_information_score: 950.6213, mean_absolute_error: 0.1678, 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: 0.3397, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2931, root_relative_squared_error: 0.5897, scimark_benchmark: 1812.5723, usercpu_time_millis: 0.379, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.351,
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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: 1851.0585, usercpu_time_millis: 0.201, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.186,
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: 1874.977, usercpu_time_millis: 0.166, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.157,
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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: 1869.5411, usercpu_time_millis: 0.183, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.171,
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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: 1752.841, usercpu_time_millis: 0.171, usercpu_time_millis_testing: 0.009, 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: 2042.6066, usercpu_time_millis: 0.189, usercpu_time_millis_testing: 0.01, 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: 1865.8853, 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: 0.887, 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: 1815.355, usercpu_time_millis: 0.372, usercpu_time_millis_testing: 0.028, usercpu_time_millis_training: 0.344,
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: 1823.5873, 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: 0.499, 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: 1815.4157, usercpu_time_millis: 0.168, usercpu_time_millis_testing: 0.007, 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: 1871.8506, 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: 0.499, 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: 1754.1226, usercpu_time_millis: 0.18, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.169,

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