OpenML
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: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9862, f_measure: 0.9847, kappa: 0.9691, kb_relative_information_score: 0.9688, mean_absolute_error: 0.0153, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9852, predictive_accuracy: 0.9847, prior_entropy: 0.9911, recall: 0.9847, relative_absolute_error: 0.031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1237, root_relative_squared_error: 0.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.9804, kappa: 0.9603, kb_relative_information_score: 0.9599, mean_absolute_error: 0.0197, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9803, prior_entropy: 0.9911, recall: 0.9803, relative_absolute_error: 0.0398, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2823,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9818, kappa: 0.9633, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9818, prior_entropy: 0.9911, recall: 0.9818, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9534, f_measure: 0.9484, kappa: 0.8964, kb_relative_information_score: 0.8946, mean_absolute_error: 0.0517, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9536, predictive_accuracy: 0.9483, prior_entropy: 0.9911, recall: 0.9483, relative_absolute_error: 0.1048, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9818, kappa: 0.9633, kb_relative_information_score: 0.9629, mean_absolute_error: 0.0182, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9825, predictive_accuracy: 0.9818, prior_entropy: 0.9911, recall: 0.9818, relative_absolute_error: 0.0369, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.135, root_relative_squared_error: 0.2716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9731, f_measure: 0.9702, kappa: 0.9399, kb_relative_information_score: 0.9392, mean_absolute_error: 0.0299, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.972, predictive_accuracy: 0.9701, prior_entropy: 0.9911, recall: 0.9701, relative_absolute_error: 0.0605, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1729, root_relative_squared_error: 0.3479,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9911, recall: 1, root_mean_prior_squared_error: 0.4969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 1358.0997, mean_absolute_error: 0.0064, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9912, recall: 1, relative_absolute_error: 0.013, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0291, root_relative_squared_error: 0.0586,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8041, f_measure: 0.7595, kappa: 0.512, kb_relative_information_score: 290.9876, mean_absolute_error: 0.4021, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.7595, predictive_accuracy: 0.7602, prior_entropy: 0.9912, recall: 0.7602, relative_absolute_error: 0.8141, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.8866,
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: 0.9985, f_measure: 0.9781, kappa: 0.9556, kb_relative_information_score: 1196.2331, mean_absolute_error: 0.0732, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9783, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1482, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.148, root_relative_squared_error: 0.2979, scimark_benchmark: 1843.1261, usercpu_time_millis: 0.155, usercpu_time_millis_testing: 0.022, usercpu_time_millis_training: 0.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9277, kappa: 0.8535, kb_relative_information_score: 1059.6594, mean_absolute_error: 0.1228, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9279, predictive_accuracy: 0.9278, prior_entropy: 0.9912, recall: 0.9278, relative_absolute_error: 0.2486, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2293, root_relative_squared_error: 0.4615, scimark_benchmark: 1866.4162, usercpu_time_millis: 1.117, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9781, kappa: 0.9558, kb_relative_information_score: 1226.0421, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9782, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1406, root_relative_squared_error: 0.2829, scimark_benchmark: 1843.0196, usercpu_time_millis: 1.225, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 1.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8803, f_measure: 0.8524, kappa: 0.7026, kb_relative_information_score: 731.7596, mean_absolute_error: 0.2515, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8546, predictive_accuracy: 0.852, prior_entropy: 0.9912, recall: 0.852, relative_absolute_error: 0.5093, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3479, root_relative_squared_error: 0.7001, scimark_benchmark: 1836.9989, usercpu_time_millis: 2.293, usercpu_time_millis_testing: 0.235, usercpu_time_millis_training: 2.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.0619, 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: 1.82, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 1.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1286.2752, mean_absolute_error: 0.0369, 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: 0.0747, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0945, root_relative_squared_error: 0.1901, scimark_benchmark: 1844.0458, usercpu_time_millis: 4.178, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 3.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9806, f_measure: 0.9269, kappa: 0.8517, kb_relative_information_score: 1038.2975, mean_absolute_error: 0.131, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9275, predictive_accuracy: 0.9271, prior_entropy: 0.9912, recall: 0.9271, relative_absolute_error: 0.2652, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.237, root_relative_squared_error: 0.477, scimark_benchmark: 1865.4271, usercpu_time_millis: 3.169, usercpu_time_millis_testing: 0.269, usercpu_time_millis_training: 2.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1312.8842, mean_absolute_error: 0.0232, 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: 0.047, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.21, scimark_benchmark: 1868.7112, usercpu_time_millis: 3.366, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 3.189,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1148.2505, mean_absolute_error: 0.0976, 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: 0.1976, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1481, root_relative_squared_error: 0.298, scimark_benchmark: 1865.8853, usercpu_time_millis: 7.297, usercpu_time_millis_testing: 0.806, usercpu_time_millis_training: 6.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1316.2443, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.984, predictive_accuracy: 0.984, prior_entropy: 0.9912, recall: 0.984, relative_absolute_error: 0.0428, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1104, root_relative_squared_error: 0.2222, scimark_benchmark: 1816.774, usercpu_time_millis: 8.211, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 7.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1301.2412, mean_absolute_error: 0.0297, 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: 0.0601, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0917, root_relative_squared_error: 0.1846, scimark_benchmark: 787.8971, usercpu_time_millis: 14.773, usercpu_time_millis_testing: 0.899, usercpu_time_millis_training: 13.874,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9837, f_measure: 0.929, kappa: 0.8559, kb_relative_information_score: 1020.1816, mean_absolute_error: 0.1411, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9304, predictive_accuracy: 0.9293, prior_entropy: 0.9912, recall: 0.9293, relative_absolute_error: 0.2857, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2329, root_relative_squared_error: 0.4688, scimark_benchmark: 1866.4683, usercpu_time_millis: 2.475, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 2.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.0712, 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: 1869.1029, usercpu_time_millis: 1.264, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 0.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1280.2728, mean_absolute_error: 0.0391, 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: 0.0792, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1008, root_relative_squared_error: 0.2028, scimark_benchmark: 1870.288, usercpu_time_millis: 3.964, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 3.53,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1242.0682, mean_absolute_error: 0.0563, 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: 0.114, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1145, root_relative_squared_error: 0.2304, scimark_benchmark: 1865.4271, usercpu_time_millis: 5.871, usercpu_time_millis_testing: 0.546, usercpu_time_millis_training: 5.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9861, kappa: 0.9719, kb_relative_information_score: 1244.136, mean_absolute_error: 0.0548, 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: 0.1109, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1168, root_relative_squared_error: 0.2351, scimark_benchmark: 787.8971, usercpu_time_millis: 5.978, usercpu_time_millis_testing: 0.537, usercpu_time_millis_training: 5.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9851, f_measure: 0.9307, kappa: 0.8597, kb_relative_information_score: 1082.4647, mean_absolute_error: 0.1138, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9307, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.2304, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2208, root_relative_squared_error: 0.4443, scimark_benchmark: 789.8912, usercpu_time_millis: 18.079, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 17.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1304.0927, mean_absolute_error: 0.0286, 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: 0.0578, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1792, scimark_benchmark: 1867.4545, usercpu_time_millis: 1.865, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 1.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1209.7414, mean_absolute_error: 0.07, 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: 0.1418, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1299, root_relative_squared_error: 0.2613, scimark_benchmark: 1863.2116, usercpu_time_millis: 1.088, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9854, kappa: 0.9704, kb_relative_information_score: 1253.7565, mean_absolute_error: 0.0499, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9855, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1011, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.117, root_relative_squared_error: 0.2354, scimark_benchmark: 789.0866, usercpu_time_millis: 4.171, usercpu_time_millis_testing: 0.339, usercpu_time_millis_training: 3.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1238.0978, mean_absolute_error: 0.0573, 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: 0.116, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1213, root_relative_squared_error: 0.2441, scimark_benchmark: 1864.9656, usercpu_time_millis: 1.414, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 1.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9907, f_measure: 0.9467, kappa: 0.892, kb_relative_information_score: 1081.4617, mean_absolute_error: 0.1176, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9469, predictive_accuracy: 0.9468, prior_entropy: 0.9912, recall: 0.9468, relative_absolute_error: 0.238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4133, scimark_benchmark: 789.3267, usercpu_time_millis: 5.228, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 4.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.8878, kappa: 0.7722, kb_relative_information_score: 507.8228, mean_absolute_error: 0.3398, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8952, predictive_accuracy: 0.8892, prior_entropy: 0.9912, recall: 0.8892, relative_absolute_error: 0.6881, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3626, root_relative_squared_error: 0.7296, scimark_benchmark: 790.2464, usercpu_time_millis: 4.766, usercpu_time_millis_testing: 0.588, usercpu_time_millis_training: 4.178,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9779, f_measure: 0.938, kappa: 0.8742, kb_relative_information_score: 1023.15, mean_absolute_error: 0.1387, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9381, predictive_accuracy: 0.938, prior_entropy: 0.9912, recall: 0.938, relative_absolute_error: 0.2808, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2361, root_relative_squared_error: 0.4752, scimark_benchmark: 786.4581, usercpu_time_millis: 0.076, usercpu_time_millis_testing: 0.019, usercpu_time_millis_training: 0.057,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9584, kappa: 0.9158, kb_relative_information_score: 1093.1717, mean_absolute_error: 0.1149, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9584, predictive_accuracy: 0.9585, prior_entropy: 0.9912, recall: 0.9585, relative_absolute_error: 0.2327, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1929, root_relative_squared_error: 0.3883, scimark_benchmark: 1856.3811, usercpu_time_millis: 0.35, usercpu_time_millis_testing: 0.025, usercpu_time_millis_training: 0.325,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9774, kappa: 0.9542, kb_relative_information_score: 1180.0525, mean_absolute_error: 0.0807, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9775, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.1635, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1499, root_relative_squared_error: 0.3018, scimark_benchmark: 1802.102, usercpu_time_millis: 3.738, usercpu_time_millis_testing: 0.426, usercpu_time_millis_training: 3.312,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9752, kappa: 0.9497, kb_relative_information_score: 1078.3475, mean_absolute_error: 0.1249, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.253, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1807, root_relative_squared_error: 0.3636, scimark_benchmark: 1862.8168, usercpu_time_millis: 4.364, usercpu_time_millis_testing: 0.603, usercpu_time_millis_training: 3.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0365, 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: 1855.9473, usercpu_time_millis: 1.92, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 1.58,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1307.5912, mean_absolute_error: 0.0272, 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: 0.0551, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0854, root_relative_squared_error: 0.1718, scimark_benchmark: 1853.9757, usercpu_time_millis: 6.774, usercpu_time_millis_testing: 0.634, usercpu_time_millis_training: 6.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1252.014, mean_absolute_error: 0.0515, 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: 0.1044, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1121, root_relative_squared_error: 0.2257, scimark_benchmark: 1857.9263, usercpu_time_millis: 3.627, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 3.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9307, kappa: 0.8597, kb_relative_information_score: 1082.1073, mean_absolute_error: 0.1139, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9307, predictive_accuracy: 0.9308, prior_entropy: 0.9912, recall: 0.9308, relative_absolute_error: 0.2307, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2222, root_relative_squared_error: 0.4472, scimark_benchmark: 1846.7502, usercpu_time_millis: 4.69, usercpu_time_millis_testing: 0.289, usercpu_time_millis_training: 4.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1301.7246, mean_absolute_error: 0.0296, 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: 0.0599, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0907, root_relative_squared_error: 0.1824, scimark_benchmark: 1787.0851, usercpu_time_millis: 9.892, usercpu_time_millis_testing: 0.817, usercpu_time_millis_training: 9.075,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1310.5911, mean_absolute_error: 0.0249, 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: 0.0505, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.1869, scimark_benchmark: 1787.5747, usercpu_time_millis: 9.819, usercpu_time_millis_testing: 0.695, usercpu_time_millis_training: 9.124,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1195.0007, mean_absolute_error: 0.0751, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.1521, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1427, root_relative_squared_error: 0.2872, scimark_benchmark: 1855.9473, usercpu_time_millis: 7.759, usercpu_time_millis_testing: 0.674, usercpu_time_millis_training: 7.085,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1284.145, mean_absolute_error: 0.0372, 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: 0.0753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1, root_relative_squared_error: 0.2011, scimark_benchmark: 786.2559, usercpu_time_millis: 8.417, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 7.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1263.4313, mean_absolute_error: 0.0468, 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: 0.0947, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1057, root_relative_squared_error: 0.2127, scimark_benchmark: 787.1692, usercpu_time_millis: 1.337, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 1.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1317.8729, mean_absolute_error: 0.0221, 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: 0.0447, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.086, root_relative_squared_error: 0.1731, scimark_benchmark: 1741.5392, usercpu_time_millis: 5.609, usercpu_time_millis_testing: 0.391, usercpu_time_millis_training: 5.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1291.9318, mean_absolute_error: 0.0335, 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: 0.0677, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1038, root_relative_squared_error: 0.2089, scimark_benchmark: 1787.5747, usercpu_time_millis: 6.984, usercpu_time_millis_testing: 0.453, usercpu_time_millis_training: 6.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9497, kappa: 0.898, kb_relative_information_score: 965.9531, mean_absolute_error: 0.1695, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9497, predictive_accuracy: 0.9497, prior_entropy: 0.9912, recall: 0.9497, relative_absolute_error: 0.3432, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2244, root_relative_squared_error: 0.4516, scimark_benchmark: 1851.2098, usercpu_time_millis: 0.481, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1258.4193, mean_absolute_error: 0.049, 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: 0.0993, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.2207, scimark_benchmark: 1859.2172, usercpu_time_millis: 8.813, usercpu_time_millis_testing: 0.757, usercpu_time_millis_training: 8.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1300.5131, mean_absolute_error: 0.0302, 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: 0.0611, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0911, root_relative_squared_error: 0.1832, scimark_benchmark: 786.2573, usercpu_time_millis: 5.063, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 4.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1226.5755, mean_absolute_error: 0.0642, 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: 0.1301, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1137, root_relative_squared_error: 0.2289, scimark_benchmark: 1743.3608, usercpu_time_millis: 7.468, usercpu_time_millis_testing: 0.864, usercpu_time_millis_training: 6.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1268.5938, mean_absolute_error: 0.0439, 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: 0.0889, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1081, root_relative_squared_error: 0.2176, scimark_benchmark: 1739.3689, usercpu_time_millis: 8.675, usercpu_time_millis_testing: 0.838, usercpu_time_millis_training: 7.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1227.6613, mean_absolute_error: 0.0619, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9847, predictive_accuracy: 0.9847, prior_entropy: 0.9912, recall: 0.9847, relative_absolute_error: 0.1253, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.124, root_relative_squared_error: 0.2496, scimark_benchmark: 1855.853, usercpu_time_millis: 6.239, usercpu_time_millis_testing: 0.662, usercpu_time_millis_training: 5.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1234.3446, mean_absolute_error: 0.061, 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: 0.1235, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1097, root_relative_squared_error: 0.2208, scimark_benchmark: 1853.2801, usercpu_time_millis: 9.21, usercpu_time_millis_testing: 1.048, usercpu_time_millis_training: 8.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9778, kb_relative_information_score: 1297.3252, mean_absolute_error: 0.0315, 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: 0.0638, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0931, root_relative_squared_error: 0.1874, scimark_benchmark: 1895.2006, usercpu_time_millis: 3.023, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 2.815,

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