Task
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 10093 Supervised Classification banknote-authentication 91909 runs submitted
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  • OpenML-CC18 OpenML100 study_107 study_123 study_14 study_50 study_7 study_98 study_99
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0602, 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: 1831.5209, usercpu_time_millis: 1.274, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9547, kappa: 0.9083, kb_relative_information_score: 1126.7648, mean_absolute_error: 0.0983, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9549, predictive_accuracy: 0.9548, prior_entropy: 0.9912, recall: 0.9548, relative_absolute_error: 0.1991, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1896, root_relative_squared_error: 0.3814, scimark_benchmark: 1868.5777, usercpu_time_millis: 0.743, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1308.1771, mean_absolute_error: 0.0269, 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: 0.0544, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0855, root_relative_squared_error: 0.1721, scimark_benchmark: 1828.4479, usercpu_time_millis: 2.314, usercpu_time_millis_testing: 0.216, usercpu_time_millis_training: 2.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0558, 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: 1860.1976, usercpu_time_millis: 1.246, usercpu_time_millis_testing: 0.245, usercpu_time_millis_training: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9658, kappa: 0.9308, kb_relative_information_score: 1032.8108, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.966, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.2904, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1984, root_relative_squared_error: 0.3992, scimark_benchmark: 1861.6424, usercpu_time_millis: 1.8, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 1.623,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0325, 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: 1743.9277, usercpu_time_millis: 1.076, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 0.87,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9393, kappa: 0.8769, kb_relative_information_score: 1032.2065, mean_absolute_error: 0.1363, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.94, predictive_accuracy: 0.9395, prior_entropy: 0.9912, recall: 0.9395, relative_absolute_error: 0.2759, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4584, scimark_benchmark: 1857.66, usercpu_time_millis: 0.99, usercpu_time_millis_testing: 0.088, usercpu_time_millis_training: 0.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0361, 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: 1867.725, usercpu_time_millis: 2.032, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 1.677,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9113, kappa: 0.82, kb_relative_information_score: 964.5702, mean_absolute_error: 0.162, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9133, predictive_accuracy: 0.9118, prior_entropy: 0.9912, recall: 0.9118, relative_absolute_error: 0.3281, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2584, root_relative_squared_error: 0.5199, scimark_benchmark: 1747.4929, usercpu_time_millis: 2.493, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 2.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1183.4741, mean_absolute_error: 0.0826, 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: 0.1672, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1339, root_relative_squared_error: 0.2695, scimark_benchmark: 1839.1462, usercpu_time_millis: 5.128, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 4.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9759, kappa: 0.9513, kb_relative_information_score: 1159.6652, mean_absolute_error: 0.0886, 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: 0.1794, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3249, scimark_benchmark: 1845.1169, usercpu_time_millis: 7.101, usercpu_time_millis_testing: 0.697, usercpu_time_millis_training: 6.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9749, f_measure: 0.9174, kappa: 0.8324, kb_relative_information_score: 1018.3627, mean_absolute_error: 0.138, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.918, predictive_accuracy: 0.9176, prior_entropy: 0.9912, recall: 0.9176, relative_absolute_error: 0.2794, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2499, root_relative_squared_error: 0.5029, scimark_benchmark: 1833.0594, usercpu_time_millis: 6.144, usercpu_time_millis_testing: 0.481, usercpu_time_millis_training: 5.663,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1261.1691, mean_absolute_error: 0.046, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9862, predictive_accuracy: 0.9862, prior_entropy: 0.9912, recall: 0.9862, relative_absolute_error: 0.0931, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2429, scimark_benchmark: 1851.8785, usercpu_time_millis: 4.252, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 3.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9657, kappa: 0.9305, kb_relative_information_score: 1161.5384, mean_absolute_error: 0.0859, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9658, predictive_accuracy: 0.9657, prior_entropy: 0.9912, recall: 0.9657, relative_absolute_error: 0.1739, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1706, root_relative_squared_error: 0.3434, scimark_benchmark: 1748.4638, usercpu_time_millis: 4.814, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 4.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.973, kappa: 0.9454, kb_relative_information_score: 1247.9846, mean_absolute_error: 0.0485, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.0982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1466, root_relative_squared_error: 0.295, scimark_benchmark: 1865.3572, usercpu_time_millis: 4.899, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 4.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1163.0193, mean_absolute_error: 0.0912, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1846, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1428, root_relative_squared_error: 0.2873, scimark_benchmark: 1738.3402, usercpu_time_millis: 6.53, usercpu_time_millis_testing: 0.839, usercpu_time_millis_training: 5.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1299.3722, mean_absolute_error: 0.0311, 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: 0.0629, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0879, root_relative_squared_error: 0.177, scimark_benchmark: 1740.6265, usercpu_time_millis: 7.572, usercpu_time_millis_testing: 0.696, usercpu_time_millis_training: 6.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9216, kappa: 0.8408, kb_relative_information_score: 806.993, mean_absolute_error: 0.231, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9238, predictive_accuracy: 0.922, prior_entropy: 0.9912, recall: 0.922, relative_absolute_error: 0.4678, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2752, root_relative_squared_error: 0.5539, scimark_benchmark: 1250.3039, usercpu_time_millis: 3.095, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 2.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9832, kappa: 0.966, kb_relative_information_score: 1238.8447, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9833, predictive_accuracy: 0.9832, prior_entropy: 0.9912, recall: 0.9832, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1324, root_relative_squared_error: 0.2664, scimark_benchmark: 1741.889, usercpu_time_millis: 5.196, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 4.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1314.784, mean_absolute_error: 0.0221, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9848, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.0448, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.2129, scimark_benchmark: 1858.1182, usercpu_time_millis: 4.968, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 4.652,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1273.145, mean_absolute_error: 0.0419, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0848, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.2132, scimark_benchmark: 1835.6177, usercpu_time_millis: 8.207, usercpu_time_millis_testing: 0.775, usercpu_time_millis_training: 7.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1252.3052, mean_absolute_error: 0.0518, 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: 0.1049, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.11, root_relative_squared_error: 0.2214, scimark_benchmark: 1748.8645, usercpu_time_millis: 5.863, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 5.326,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9945, f_measure: 0.9599, kappa: 0.9188, kb_relative_information_score: 1119.4021, mean_absolute_error: 0.1034, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9599, predictive_accuracy: 0.9599, prior_entropy: 0.9912, recall: 0.9599, relative_absolute_error: 0.2093, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1846, root_relative_squared_error: 0.3715, scimark_benchmark: 1744.2238, usercpu_time_millis: 7.467, usercpu_time_millis_testing: 0.622, usercpu_time_millis_training: 6.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1281.27, mean_absolute_error: 0.0385, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9884, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.0779, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1013, root_relative_squared_error: 0.2038, scimark_benchmark: 1859.2172, usercpu_time_millis: 6.954, usercpu_time_millis_testing: 0.827, usercpu_time_millis_training: 6.127,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1230.5998, mean_absolute_error: 0.0622, 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: 0.126, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.2289, scimark_benchmark: 1745.8253, usercpu_time_millis: 7.579, usercpu_time_millis_testing: 0.923, usercpu_time_millis_training: 6.656,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1318.5885, mean_absolute_error: 0.0217, 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: 0.0438, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0865, root_relative_squared_error: 0.174, scimark_benchmark: 1861.1173, usercpu_time_millis: 9.225, usercpu_time_millis_testing: 0.663, usercpu_time_millis_training: 8.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1286.6274, mean_absolute_error: 0.0357, 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: 0.0723, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1065, root_relative_squared_error: 0.2143, scimark_benchmark: 1743.3608, usercpu_time_millis: 11.213, usercpu_time_millis_testing: 0.694, usercpu_time_millis_training: 10.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1293.8487, mean_absolute_error: 0.0331, 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: 0.067, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0942, root_relative_squared_error: 0.1896, scimark_benchmark: 1743.7615, usercpu_time_millis: 10.804, usercpu_time_millis_testing: 0.88, usercpu_time_millis_training: 9.924,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1287.1623, mean_absolute_error: 0.0355, 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: 0.0719, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1059, root_relative_squared_error: 0.2131, scimark_benchmark: 1865.3572, usercpu_time_millis: 12.935, usercpu_time_millis_testing: 0.8, usercpu_time_millis_training: 12.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1259.088, mean_absolute_error: 0.0499, 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: 0.101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1005, root_relative_squared_error: 0.2022, scimark_benchmark: 1240.6291, usercpu_time_millis: 1.402, usercpu_time_millis_testing: 0.148, usercpu_time_millis_training: 1.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1356.8568, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.014, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0334, root_relative_squared_error: 0.0671,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1355.5127, mean_absolute_error: 0.0074, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.015, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0353, root_relative_squared_error: 0.0711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.987, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 0.9733, mean_absolute_error: 0.0131, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9869, predictive_accuracy: 0.9869, prior_entropy: 0.9911, recall: 0.9869, relative_absolute_error: 0.0266, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9825, kappa: 0.9645, kb_relative_information_score: 0.9644, mean_absolute_error: 0.0175, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9825, prior_entropy: 0.9911, recall: 0.9825, relative_absolute_error: 0.0354, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1323, root_relative_squared_error: 0.2662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9979, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0023, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0277, root_relative_squared_error: 0.0558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.998, mean_absolute_error: 0.0011, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.0022, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0276, root_relative_squared_error: 0.0555,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8808, kappa: 0.7602, kb_relative_information_score: 0.6354, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8843, predictive_accuracy: 0.8805, prior_entropy: 0.9911, recall: 0.8805, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9347, f_measure: 0.8808, kappa: 0.7602, kb_relative_information_score: 0.6354, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8843, predictive_accuracy: 0.8805, prior_entropy: 0.9911, recall: 0.8805, relative_absolute_error: 0.3894, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3076, root_relative_squared_error: 0.6191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8465, kappa: 0.69, kb_relative_information_score: 0.4068, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8474, predictive_accuracy: 0.8462, prior_entropy: 0.9911, recall: 0.8462, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8465, kappa: 0.69, kb_relative_information_score: 0.4068, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8474, predictive_accuracy: 0.8462, prior_entropy: 0.9911, recall: 0.8462, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8465, kappa: 0.6899, kb_relative_information_score: 0.553, mean_absolute_error: 0.2352, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8473, predictive_accuracy: 0.8462, prior_entropy: 0.9911, recall: 0.8462, relative_absolute_error: 0.4763, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3307, root_relative_squared_error: 0.6654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.935, f_measure: 0.8779, kappa: 0.7545, kb_relative_information_score: 0.5868, mean_absolute_error: 0.2204, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8816, predictive_accuracy: 0.8776, prior_entropy: 0.9911, recall: 0.8776, relative_absolute_error: 0.4463, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3135, root_relative_squared_error: 0.6309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8465, kappa: 0.69, kb_relative_information_score: 0.4068, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8474, predictive_accuracy: 0.8462, prior_entropy: 0.9911, recall: 0.8462, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.927, f_measure: 0.8465, kappa: 0.69, kb_relative_information_score: 0.4068, mean_absolute_error: 0.3171, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8474, predictive_accuracy: 0.8462, prior_entropy: 0.9911, recall: 0.8462, relative_absolute_error: 0.6421, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3574, root_relative_squared_error: 0.7192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9346, f_measure: 0.8808, kappa: 0.7602, kb_relative_information_score: 0.6426, mean_absolute_error: 0.1881, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8843, predictive_accuracy: 0.8805, prior_entropy: 0.9911, recall: 0.8805, relative_absolute_error: 0.3809, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3071, root_relative_squared_error: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9956, kappa: 0.9911, kb_relative_information_score: 0.9892, mean_absolute_error: 0.0055, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9956, predictive_accuracy: 0.9956, prior_entropy: 0.9911, recall: 0.9956, relative_absolute_error: 0.0112, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0634, root_relative_squared_error: 0.1277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9993, kappa: 0.9985, kb_relative_information_score: 0.9965, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9993, predictive_accuracy: 0.9993, prior_entropy: 0.9911, recall: 0.9993, relative_absolute_error: 0.004, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0285, root_relative_squared_error: 0.0573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 0.9973, mean_absolute_error: 0.0013, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9911, recall: 0.9985, relative_absolute_error: 0.0027, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0325, root_relative_squared_error: 0.0653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.9958, mean_absolute_error: 0.0021, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, recall: 0.9978, relative_absolute_error: 0.0042, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0356, root_relative_squared_error: 0.0716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9971, kappa: 0.9941, kb_relative_information_score: 0.9944, mean_absolute_error: 0.0028, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9971, predictive_accuracy: 0.9971, prior_entropy: 0.9911, recall: 0.9971, relative_absolute_error: 0.0056, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0441, root_relative_squared_error: 0.0887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.9949, mean_absolute_error: 0.0026, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, recall: 0.9978, relative_absolute_error: 0.0052, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.046, root_relative_squared_error: 0.0925,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 0.9965, mean_absolute_error: 0.0017, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9911, recall: 0.9978, relative_absolute_error: 0.0034, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0351, root_relative_squared_error: 0.0706,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9964, kappa: 0.9926, kb_relative_information_score: 0.9923, mean_absolute_error: 0.0038, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9964, predictive_accuracy: 0.9964, prior_entropy: 0.9911, recall: 0.9964, relative_absolute_error: 0.0078, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0592, root_relative_squared_error: 0.1192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, kb_relative_information_score: 5.7796, mean_absolute_error: 0.4922, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, predictive_accuracy: 0.5554, prior_entropy: 0.9912, recall: 0.5554, relative_absolute_error: 0.9967, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4971, root_relative_squared_error: 1.0004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9668, f_measure: 0.9004, kappa: 0.7978, kb_relative_information_score: 164.8495, mean_absolute_error: 0.4513, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9076, predictive_accuracy: 0.9016, prior_entropy: 0.9912, recall: 0.9016, relative_absolute_error: 0.9138, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9241, f_measure: 0.85, kappa: 0.6967, kb_relative_information_score: 703.0075, mean_absolute_error: 0.2639, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8503, predictive_accuracy: 0.8499, prior_entropy: 0.9912, recall: 0.8499, relative_absolute_error: 0.5344, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3429, root_relative_squared_error: 0.69,

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

OpenML APIs