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: 1867.4646, usercpu_time_millis: 0.18, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.17,
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: 1875.5079, 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: 1871.9601, 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: 1812.2834, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.21,
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: 1743.5462, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.011, 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: 1860.0853, usercpu_time_millis: 0.158, usercpu_time_millis_testing: 0.005, usercpu_time_millis_training: 0.153,
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: 1738.5695, usercpu_time_millis: 0.211, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.196,
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: 1735.4391, usercpu_time_millis: 0.214, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.202,
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: 1754.6748, usercpu_time_millis: 0.169, usercpu_time_millis_testing: 0.008, 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: 1874.5188, usercpu_time_millis: 0.163, usercpu_time_millis_testing: 0.009, 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: 1756.249, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 0.181,
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: 1874.5188, 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: 1841.6144, usercpu_time_millis: 0.201, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.188,
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: 1752.841, usercpu_time_millis: 0.178, usercpu_time_millis_testing: 0.013, 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: 1865.8853, usercpu_time_millis: 0.16, usercpu_time_millis_testing: 0.007, usercpu_time_millis_training: 0.153,
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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: 1750.7876, usercpu_time_millis: 0.174, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.163,
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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: 1056.8607, usercpu_time_millis: 0.313, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.29,
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: 1814.4687, 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: 0.8917, 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: 1872.9496, usercpu_time_millis: 0.184, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.173,
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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: 1848.3061, usercpu_time_millis: 0.177, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.165,
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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: 1132.002, usercpu_time_millis: 0.287, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.264,
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: 1797.8544, 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: 1873.4078, usercpu_time_millis: 0.178, usercpu_time_millis_testing: 0.013, 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: 1817.7479, usercpu_time_millis: 0.305, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.288,
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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: 1850.6087, usercpu_time_millis: 0.204, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 0.192,
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: 1090.2712, usercpu_time_millis: 0.325, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.304,
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: 1855.3387, 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: 0.499, 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: 1834.7755, usercpu_time_millis: 0.273, usercpu_time_millis_testing: 0.016, usercpu_time_millis_training: 0.257,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8518, f_measure: 0.8538, kappa: 0.7048, kb_relative_information_score: 764.9336, mean_absolute_error: 0.2382, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8548, predictive_accuracy: 0.8535, prior_entropy: 0.9912, recall: 0.8535, relative_absolute_error: 0.4824, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3501, root_relative_squared_error: 0.7045, scimark_benchmark: 1877.2162, 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: 1867.6156, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 0.205,
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: 1874.977, usercpu_time_millis: 0.182, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.171,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9337, f_measure: 0.8994, kappa: 0.7965, kb_relative_information_score: 990.2662, mean_absolute_error: 0.1494, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8995, predictive_accuracy: 0.8994, prior_entropy: 0.9912, recall: 0.8994, relative_absolute_error: 0.3025, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2826, root_relative_squared_error: 0.5688, scimark_benchmark: 1088.0515, usercpu_time_millis: 0.299, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.276,
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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: 1874.5188, usercpu_time_millis: 0.162, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 0.153,
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: 1872.4881, usercpu_time_millis: 0.168, usercpu_time_millis_testing: 0.01, 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: 1868.7112, 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: 0.499, 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: 1877.2162, usercpu_time_millis: 0.161, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.15,
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: 1861.6424, 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: 0.499, 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: 1856.624, usercpu_time_millis: 0.19, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 0.179,
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: 1876.3041, 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: 0.499, 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: 1873.4805, 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: 0.499, 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: 1352.7126, usercpu_time_millis: 0.267, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 0.252,
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: 1872.9496, 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: 0.499, 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: 1868.2272, usercpu_time_millis: 0.162, usercpu_time_millis_testing: 0.006, usercpu_time_millis_training: 0.156,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs