OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1332.3041, mean_absolute_error: 0.0167, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0338, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0692, root_relative_squared_error: 0.1393, scimark_benchmark: 1832.579, usercpu_time_millis: 7.612, usercpu_time_millis_testing: 0.49, usercpu_time_millis_training: 7.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1177.4984, mean_absolute_error: 0.0858, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.1738, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1332, root_relative_squared_error: 0.2681, scimark_benchmark: 1830.2003, usercpu_time_millis: 2.307, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 2.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9563, kappa: 0.9117, kb_relative_information_score: 1193.8846, mean_absolute_error: 0.0694, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9566, predictive_accuracy: 0.9563, prior_entropy: 0.9912, recall: 0.9563, relative_absolute_error: 0.1405, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1783, root_relative_squared_error: 0.3589, scimark_benchmark: 1849.2854, usercpu_time_millis: 0.121, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1324.7517, mean_absolute_error: 0.0201, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9927, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0407, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0724, root_relative_squared_error: 0.1457, scimark_benchmark: 1869.2942, usercpu_time_millis: 10.633, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 9.939,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1330.352, mean_absolute_error: 0.0161, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0326, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0928, root_relative_squared_error: 0.1867, scimark_benchmark: 1869.2942, usercpu_time_millis: 9.644, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 9.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.973, kappa: 0.9454, kb_relative_information_score: 1218.5014, mean_absolute_error: 0.0633, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.973, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.1282, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1452, root_relative_squared_error: 0.2922, scimark_benchmark: 1856.3607, usercpu_time_millis: 8.717, usercpu_time_millis_testing: 0.65, usercpu_time_millis_training: 8.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1319.3439, mean_absolute_error: 0.0224, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0453, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.1579, scimark_benchmark: 1869.2942, usercpu_time_millis: 7.737, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 7.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1320.837, mean_absolute_error: 0.0219, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0443, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.074, root_relative_squared_error: 0.1489, scimark_benchmark: 1861.8338, usercpu_time_millis: 7.469, usercpu_time_millis_testing: 0.543, usercpu_time_millis_training: 6.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1317.0239, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0758, root_relative_squared_error: 0.1526, scimark_benchmark: 1868.7112, usercpu_time_millis: 6.495, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 6.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1315.1665, mean_absolute_error: 0.0235, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0475, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.09, root_relative_squared_error: 0.1811, scimark_benchmark: 1868.2531, usercpu_time_millis: 5.42, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 5.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9516, f_measure: 0.9124, kappa: 0.8223, kb_relative_information_score: 995.3445, mean_absolute_error: 0.1476, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9127, predictive_accuracy: 0.9125, prior_entropy: 0.9912, recall: 0.9125, relative_absolute_error: 0.2988, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2687, root_relative_squared_error: 0.5407, scimark_benchmark: 1863.4652, usercpu_time_millis: 4.705, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 4.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1262.7137, mean_absolute_error: 0.0449, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0909, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1241, root_relative_squared_error: 0.2497, scimark_benchmark: 1850.1349, usercpu_time_millis: 3.572, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 3.387,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9702, kappa: 0.9396, kb_relative_information_score: 1122.1886, mean_absolute_error: 0.1046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9704, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.2119, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1757, root_relative_squared_error: 0.3535, scimark_benchmark: 1858.1812, usercpu_time_millis: 2.998, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 2.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1287.7973, mean_absolute_error: 0.0352, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9905, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.0712, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1056, root_relative_squared_error: 0.2125, scimark_benchmark: 1863.0684, usercpu_time_millis: 1.337, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.097, mean_absolute_error: 0.4938, 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: 0.9999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1855.3929, usercpu_time_millis: 1.362, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 1.101,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9268, kappa: 0.8514, kb_relative_information_score: 1050.9843, mean_absolute_error: 0.1279, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9283, predictive_accuracy: 0.9271, prior_entropy: 0.9912, recall: 0.9271, relative_absolute_error: 0.2589, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2247, root_relative_squared_error: 0.4521, scimark_benchmark: 1851.0585, usercpu_time_millis: 4.262, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 3.988,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1298.4038, mean_absolute_error: 0.0307, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0621, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0986, root_relative_squared_error: 0.1984, scimark_benchmark: 1853.9144, usercpu_time_millis: 5.499, usercpu_time_millis_testing: 0.362, usercpu_time_millis_training: 5.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.0092, 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: 1753.3823, usercpu_time_millis: 1.323, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 1.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: 0.0412, 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: 1845.0281, usercpu_time_millis: 1.623, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 1.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1318.4835, mean_absolute_error: 0.0231, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9942, predictive_accuracy: 0.9942, prior_entropy: 0.9912, recall: 0.9942, relative_absolute_error: 0.0467, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.074, root_relative_squared_error: 0.1489, scimark_benchmark: 1796.1286, usercpu_time_millis: 4.015, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 3.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1310.5991, mean_absolute_error: 0.0266, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9935, predictive_accuracy: 0.9934, prior_entropy: 0.9912, recall: 0.9934, relative_absolute_error: 0.0538, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0781, root_relative_squared_error: 0.1573, scimark_benchmark: 1848.3176, usercpu_time_millis: 5.878, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 5.429,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1283.9219, mean_absolute_error: 0.0367, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9876, predictive_accuracy: 0.9876, prior_entropy: 0.9912, recall: 0.9876, relative_absolute_error: 0.0743, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1073, root_relative_squared_error: 0.2159, scimark_benchmark: 1855.0788, usercpu_time_millis: 1.824, usercpu_time_millis_testing: 0.124, usercpu_time_millis_training: 1.7,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8589, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 742.3531, mean_absolute_error: 0.2478, 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: 0.5018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.352, root_relative_squared_error: 0.7084, scimark_benchmark: 1847.4043, usercpu_time_millis: 2.09, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9141, kappa: 0.8255, kb_relative_information_score: 724.0728, mean_absolute_error: 0.2628, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9175, predictive_accuracy: 0.9147, prior_entropy: 0.9912, recall: 0.9147, relative_absolute_error: 0.5321, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2989, root_relative_squared_error: 0.6016, scimark_benchmark: 1884.5259, usercpu_time_millis: 3.017, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 2.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1305.8914, mean_absolute_error: 0.0276, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0558, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.1905, scimark_benchmark: 1854.1937, usercpu_time_millis: 9.847, usercpu_time_millis_testing: 0.549, usercpu_time_millis_training: 9.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1229.5672, mean_absolute_error: 0.0634, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.1285, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1096, root_relative_squared_error: 0.2206, scimark_benchmark: 1837.7821, usercpu_time_millis: 6.228, usercpu_time_millis_testing: 0.792, usercpu_time_millis_training: 5.436,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1273.961, mean_absolute_error: 0.0437, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0886, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0893, root_relative_squared_error: 0.1796, scimark_benchmark: 1863.4543, usercpu_time_millis: 7.089, usercpu_time_millis_testing: 0.628, usercpu_time_millis_training: 6.461,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1286.018, mean_absolute_error: 0.0374, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0758, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0912, root_relative_squared_error: 0.1835, scimark_benchmark: 1874.5188, usercpu_time_millis: 7.063, usercpu_time_millis_testing: 0.541, usercpu_time_millis_training: 6.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1215.9988, mean_absolute_error: 0.0646, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9774, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.1308, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1434, root_relative_squared_error: 0.2886, scimark_benchmark: 1873.0711, usercpu_time_millis: 4.314, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 4.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1300.349, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0606, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0981, root_relative_squared_error: 0.1973, scimark_benchmark: 1870.2804, usercpu_time_millis: 2.751, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 2.589,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 751.7098, mean_absolute_error: 0.2428, 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: 0.4915, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3362, root_relative_squared_error: 0.6766, scimark_benchmark: 1865.1722, usercpu_time_millis: 0.618, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.555,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9825, f_measure: 0.9246, kappa: 0.8469, kb_relative_information_score: 1009.7384, mean_absolute_error: 0.145, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9261, predictive_accuracy: 0.9249, prior_entropy: 0.9912, recall: 0.9249, relative_absolute_error: 0.2937, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2371, root_relative_squared_error: 0.4771, scimark_benchmark: 1763.5366, usercpu_time_millis: 7.831, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 7.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1234.2146, mean_absolute_error: 0.0599, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.1212, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1186, root_relative_squared_error: 0.2387, scimark_benchmark: 1869.8223, usercpu_time_millis: 3.197, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 2.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9658, kappa: 0.9307, kb_relative_information_score: 1078.6011, mean_absolute_error: 0.1224, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9659, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.2479, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1924, root_relative_squared_error: 0.3871, scimark_benchmark: 1747.1969, usercpu_time_millis: 2.195, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.976, kappa: 0.9513, kb_relative_information_score: 1229.7785, mean_absolute_error: 0.0587, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.976, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1189, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1398, root_relative_squared_error: 0.2814, scimark_benchmark: 1867.725, usercpu_time_millis: 1.852, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 1.763,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9767, kappa: 0.9529, kb_relative_information_score: 1103.4856, mean_absolute_error: 0.1158, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9769, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.2344, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.168, root_relative_squared_error: 0.338, scimark_benchmark: 1752.969, usercpu_time_millis: 0.679, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1290.9923, mean_absolute_error: 0.0348, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.992, predictive_accuracy: 0.992, prior_entropy: 0.9912, recall: 0.992, relative_absolute_error: 0.0705, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.1846, scimark_benchmark: 1862.932, usercpu_time_millis: 7.037, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 6.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9707, f_measure: 0.8953, kappa: 0.7874, kb_relative_information_score: 696.2658, mean_absolute_error: 0.272, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9016, predictive_accuracy: 0.8965, prior_entropy: 0.9912, recall: 0.8965, relative_absolute_error: 0.5507, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3096, root_relative_squared_error: 0.623, scimark_benchmark: 1808.5237, usercpu_time_millis: 1.667, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 1.442,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9912, kappa: 0.9823, kb_relative_information_score: 1290.5074, mean_absolute_error: 0.0339, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9913, predictive_accuracy: 0.9913, prior_entropy: 0.9912, recall: 0.9913, relative_absolute_error: 0.0686, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2136, scimark_benchmark: 1856.2273, usercpu_time_millis: 0.657, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9291, kappa: 0.8562, kb_relative_information_score: 1051.511, mean_absolute_error: 0.1262, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9297, predictive_accuracy: 0.9293, prior_entropy: 0.9912, recall: 0.9293, relative_absolute_error: 0.2555, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.4614, scimark_benchmark: 1860.1369, usercpu_time_millis: 2.524, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 2.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8859, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 731.8866, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.853, predictive_accuracy: 0.8506, prior_entropy: 0.9912, recall: 0.8506, relative_absolute_error: 0.5085, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3453, root_relative_squared_error: 0.695, scimark_benchmark: 1857.4329, usercpu_time_millis: 1.925, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 1.619,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1246.1219, mean_absolute_error: 0.0521, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9912, recall: 0.9825, relative_absolute_error: 0.1054, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1303, root_relative_squared_error: 0.2621, scimark_benchmark: 1852.2215, usercpu_time_millis: 5.449, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 5.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1319.3096, mean_absolute_error: 0.0212, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0429, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.089, root_relative_squared_error: 0.1791, scimark_benchmark: 1852.0263, usercpu_time_millis: 12.242, usercpu_time_millis_testing: 0.965, usercpu_time_millis_training: 11.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.04, 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: 1842.1774, usercpu_time_millis: 0.797, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9766, kappa: 0.9526, kb_relative_information_score: 1182.3881, mean_absolute_error: 0.0797, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9769, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1614, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1494, root_relative_squared_error: 0.3006, scimark_benchmark: 1863.8517, usercpu_time_millis: 2.058, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1299.2994, mean_absolute_error: 0.0306, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9891, predictive_accuracy: 0.9891, prior_entropy: 0.9912, recall: 0.9891, relative_absolute_error: 0.062, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.092, root_relative_squared_error: 0.1851, scimark_benchmark: 1851.5125, usercpu_time_millis: 5.556, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 5.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.0781, 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: 1852.4259, usercpu_time_millis: 1.002, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 0.853,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.912, kappa: 0.8214, kb_relative_information_score: 937.5423, mean_absolute_error: 0.1736, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9142, predictive_accuracy: 0.9125, prior_entropy: 0.9912, recall: 0.9125, relative_absolute_error: 0.3515, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2594, root_relative_squared_error: 0.522, scimark_benchmark: 1842.7604, usercpu_time_millis: 2.541, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 2.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.948, f_measure: 0.8878, kappa: 0.7721, kb_relative_information_score: 391.9079, mean_absolute_error: 0.3798, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8955, predictive_accuracy: 0.8892, prior_entropy: 0.9912, recall: 0.8892, relative_absolute_error: 0.7689, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3941, root_relative_squared_error: 0.793, scimark_benchmark: 1843.7226, usercpu_time_millis: 2.05, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 1.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9735, f_measure: 0.9167, kappa: 0.8309, kb_relative_information_score: 1012.207, mean_absolute_error: 0.1403, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9173, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.284, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2524, root_relative_squared_error: 0.5079, scimark_benchmark: 1860.7864, usercpu_time_millis: 3.482, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 3.213,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9832, kappa: 0.9661, kb_relative_information_score: 1112.5927, mean_absolute_error: 0.1122, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9832, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.2272, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1633, root_relative_squared_error: 0.3286, scimark_benchmark: 1847.4043, usercpu_time_millis: 0.847, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: 0.0052, 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: 1858.6978, usercpu_time_millis: 2.092, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 1.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1298.826, mean_absolute_error: 0.0309, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9898, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.0626, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0913, root_relative_squared_error: 0.1838, scimark_benchmark: 1881.1295, usercpu_time_millis: 4.913, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 4.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1361.0266, mean_absolute_error: 0.0046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0094, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0405, root_relative_squared_error: 0.0814, scimark_benchmark: 1845.8794, usercpu_time_millis: 0.314, usercpu_time_millis_testing: 0.308, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1356.2105, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.046, root_relative_squared_error: 0.0926, scimark_benchmark: 1805.4852, usercpu_time_millis: 0.47, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 0.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1359.8305, mean_absolute_error: 0.0051, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0104, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0418, root_relative_squared_error: 0.084, scimark_benchmark: 1870.0988, usercpu_time_millis: 0.225, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1362.2366, mean_absolute_error: 0.0041, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0083, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0393, root_relative_squared_error: 0.0791, scimark_benchmark: 1871.2001, usercpu_time_millis: 0.096, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1357.4214, mean_absolute_error: 0.0062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0125, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0446, root_relative_squared_error: 0.0897, scimark_benchmark: 1804.1767, usercpu_time_millis: 0.455, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 0.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1346.9462, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.057, root_relative_squared_error: 0.1148, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.244, usercpu_time_millis_testing: 0.24, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.8799, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.0808, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 0.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1356.2105, mean_absolute_error: 0.0067, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.046, root_relative_squared_error: 0.0926, scimark_benchmark: 1871.2001, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1346.9462, mean_absolute_error: 0.0105, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0213, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.057, root_relative_squared_error: 0.1148, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.237, usercpu_time_millis_testing: 0.232, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1348.0324, mean_absolute_error: 0.0101, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0204, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0559, root_relative_squared_error: 0.1124, scimark_benchmark: 1874.8648, usercpu_time_millis: 0.274, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 0.006,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.6744, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.0778, scimark_benchmark: 1867.4545, usercpu_time_millis: 0.26, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.6744, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0386, root_relative_squared_error: 0.0778, scimark_benchmark: 1865.4271, usercpu_time_millis: 0.195, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 0.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1366.1947, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.0881, scimark_benchmark: 1871.8506, usercpu_time_millis: 0.218, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1366.8799, mean_absolute_error: 0.0018, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0402, root_relative_squared_error: 0.0808, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.219, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 0.002,

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