OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43620 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1275.8967, mean_absolute_error: 0.0415, 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: 0.0839, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1009, root_relative_squared_error: 0.2031, scimark_benchmark: 1378.5356, usercpu_time_millis: 7.198, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 6.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1304.3534, mean_absolute_error: 0.0289, 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: 0.0586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.1743, scimark_benchmark: 1372.3669, usercpu_time_millis: 1.9, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 1.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9312, kappa: 0.8605, kb_relative_information_score: 1029.9423, mean_absolute_error: 0.1372, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9323, predictive_accuracy: 0.9315, prior_entropy: 0.9912, recall: 0.9315, relative_absolute_error: 0.2778, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.4633, scimark_benchmark: 1342.6625, usercpu_time_millis: 5.989, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 5.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1270.2475, mean_absolute_error: 0.0443, 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: 0.0898, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.2001, scimark_benchmark: 1378.4038, usercpu_time_millis: 5.274, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 4.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9701, kappa: 0.9395, kb_relative_information_score: 1146.2816, mean_absolute_error: 0.0937, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9701, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.1896, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1692, root_relative_squared_error: 0.3406, scimark_benchmark: 1377.8441, usercpu_time_millis: 2.675, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 2.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1311.2849, mean_absolute_error: 0.0262, 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: 0.0531, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.1581, scimark_benchmark: 1376.6549, usercpu_time_millis: 3.824, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 3.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.976, kappa: 0.9514, kb_relative_information_score: 1141.6161, mean_absolute_error: 0.0976, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9761, predictive_accuracy: 0.9759, prior_entropy: 0.9912, recall: 0.9759, relative_absolute_error: 0.1977, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1625, root_relative_squared_error: 0.3271, scimark_benchmark: 1384.4429, usercpu_time_millis: 5.337, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 4.798,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1261.6841, mean_absolute_error: 0.0493, 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: 0.0998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.1904, scimark_benchmark: 1377.6135, usercpu_time_millis: 5.183, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 4.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1265.0898, mean_absolute_error: 0.0478, 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: 0.0967, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0929, root_relative_squared_error: 0.187, scimark_benchmark: 1372.4674, usercpu_time_millis: 5.489, usercpu_time_millis_testing: 0.591, usercpu_time_millis_training: 4.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1293.6067, mean_absolute_error: 0.0336, 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: 0.068, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0924, root_relative_squared_error: 0.1859, scimark_benchmark: 1373.5261, usercpu_time_millis: 5.744, usercpu_time_millis_testing: 0.446, usercpu_time_millis_training: 5.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1315.0129, mean_absolute_error: 0.0243, 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: 0.0491, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0809, root_relative_squared_error: 0.1628, scimark_benchmark: 1377.746, usercpu_time_millis: 5.107, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 4.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9671, f_measure: 0.885, kappa: 0.7678, kb_relative_information_score: 752.7574, mean_absolute_error: 0.2488, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8859, predictive_accuracy: 0.8848, prior_entropy: 0.9912, recall: 0.8848, relative_absolute_error: 0.5037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2974, root_relative_squared_error: 0.5985, scimark_benchmark: 1379.4006, usercpu_time_millis: 2.146, usercpu_time_millis_testing: 0.277, usercpu_time_millis_training: 1.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1218.2025, mean_absolute_error: 0.0685, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9899, predictive_accuracy: 0.9898, prior_entropy: 0.9912, recall: 0.9898, relative_absolute_error: 0.1386, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1144, root_relative_squared_error: 0.2302, scimark_benchmark: 1376.8243, usercpu_time_millis: 4.73, usercpu_time_millis_testing: 0.406, usercpu_time_millis_training: 4.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1317.0993, mean_absolute_error: 0.0233, 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: 0.0473, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.1599, scimark_benchmark: 1377.5703, usercpu_time_millis: 10.585, usercpu_time_millis_testing: 0.631, usercpu_time_millis_training: 9.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1319.7008, mean_absolute_error: 0.0214, 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: 0.0433, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0891, root_relative_squared_error: 0.1794, scimark_benchmark: 1351.3328, usercpu_time_millis: 4.559, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 4.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1278.0292, mean_absolute_error: 0.042, 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: 0.0851, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0866, root_relative_squared_error: 0.1742, scimark_benchmark: 1358.7759, usercpu_time_millis: 7.561, usercpu_time_millis_testing: 0.71, usercpu_time_millis_training: 6.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8822, f_measure: 0.8524, kappa: 0.7026, kb_relative_information_score: 731.5984, 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: 0.3473, root_relative_squared_error: 0.6988, scimark_benchmark: 1371.5446, usercpu_time_millis: 4.068, usercpu_time_millis_testing: 0.498, usercpu_time_millis_training: 3.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9836, f_measure: 0.9336, kappa: 0.8656, kb_relative_information_score: 1112.4865, mean_absolute_error: 0.0996, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9336, predictive_accuracy: 0.9337, prior_entropy: 0.9912, recall: 0.9337, relative_absolute_error: 0.2017, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2216, root_relative_squared_error: 0.446, scimark_benchmark: 1369.5995, usercpu_time_millis: 4.105, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 3.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1247.8849, mean_absolute_error: 0.053, 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: 0.1073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1172, root_relative_squared_error: 0.2359, scimark_benchmark: 1372.9017, usercpu_time_millis: 6.224, usercpu_time_millis_testing: 0.506, usercpu_time_millis_training: 5.718,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1309.4229, mean_absolute_error: 0.0271, 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: 0.0548, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0795, root_relative_squared_error: 0.16, scimark_benchmark: 1373.2954, usercpu_time_millis: 7.767, usercpu_time_millis_testing: 0.617, usercpu_time_millis_training: 7.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9715, kappa: 0.9422, kb_relative_information_score: 1187.5021, mean_absolute_error: 0.0766, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9719, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.1551, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1535, root_relative_squared_error: 0.3089, scimark_benchmark: 1379.1665, usercpu_time_millis: 5.784, usercpu_time_millis_testing: 0.304, usercpu_time_millis_training: 5.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1226.8247, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1242, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1298, root_relative_squared_error: 0.2611, scimark_benchmark: 1377.4377, usercpu_time_millis: 3.895, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 3.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.9201, kappa: 0.8377, kb_relative_information_score: 781.6216, mean_absolute_error: 0.2408, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9226, predictive_accuracy: 0.9206, prior_entropy: 0.9912, recall: 0.9206, relative_absolute_error: 0.4876, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2831, root_relative_squared_error: 0.5697, scimark_benchmark: 1369.1234, usercpu_time_millis: 1.98, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 1.763,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9863, f_measure: 0.9216, kappa: 0.8407, kb_relative_information_score: 831.6031, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9239, predictive_accuracy: 0.922, prior_entropy: 0.9912, recall: 0.922, relative_absolute_error: 0.4486, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2683, root_relative_squared_error: 0.5399, scimark_benchmark: 1380.9581, usercpu_time_millis: 4.445, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 3.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9445, kappa: 0.8876, kb_relative_information_score: 1052.912, mean_absolute_error: 0.1289, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9447, predictive_accuracy: 0.9446, prior_entropy: 0.9912, recall: 0.9446, relative_absolute_error: 0.2611, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2169, root_relative_squared_error: 0.4364, scimark_benchmark: 1378.3333, usercpu_time_millis: 2.252, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 2.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9919, f_measure: 0.9643, kappa: 0.9278, kb_relative_information_score: 1053.5312, mean_absolute_error: 0.1324, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9644, predictive_accuracy: 0.9643, prior_entropy: 0.9912, recall: 0.9643, relative_absolute_error: 0.2682, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2026, root_relative_squared_error: 0.4078, scimark_benchmark: 1376.5914, usercpu_time_millis: 3.234, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 2.94,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: -0.4711, mean_absolute_error: 0.494, 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: 1.0002, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1378.8803, usercpu_time_millis: 0.276, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1255.7927, mean_absolute_error: 0.0493, 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: 0.0999, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1169, root_relative_squared_error: 0.2353, scimark_benchmark: 1381.405, usercpu_time_millis: 4.506, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 4.258,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9888, f_measure: 0.9327, kappa: 0.8634, kb_relative_information_score: 999.1656, mean_absolute_error: 0.1523, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9339, predictive_accuracy: 0.9329, prior_entropy: 0.9912, recall: 0.9329, relative_absolute_error: 0.3084, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.229, root_relative_squared_error: 0.4608, scimark_benchmark: 1375.342, usercpu_time_millis: 1.335, usercpu_time_millis_testing: 0.119, usercpu_time_millis_training: 1.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9811, kappa: 0.9616, kb_relative_information_score: 1241.6767, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9811, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.1091, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1312, root_relative_squared_error: 0.2641, scimark_benchmark: 1372.4329, usercpu_time_millis: 5.332, usercpu_time_millis_testing: 0.338, usercpu_time_millis_training: 4.994,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1279.0182, mean_absolute_error: 0.0397, 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: 0.0804, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1012, root_relative_squared_error: 0.2036, scimark_benchmark: 1376.579, usercpu_time_millis: 4.148, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 3.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1195.6106, mean_absolute_error: 0.0781, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.1581, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1252, root_relative_squared_error: 0.2519, scimark_benchmark: 1384.5073, usercpu_time_millis: 0.981, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.1218, 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: 1377.1373, usercpu_time_millis: 1.357, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1299.0372, mean_absolute_error: 0.0317, 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: 0.0642, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0848, root_relative_squared_error: 0.1706, scimark_benchmark: 1381.7489, usercpu_time_millis: 8.542, usercpu_time_millis_testing: 0.682, usercpu_time_millis_training: 7.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9733, f_measure: 0.9174, kappa: 0.8324, kb_relative_information_score: 1010.6079, mean_absolute_error: 0.141, 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: 0.2855, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2525, root_relative_squared_error: 0.5081, scimark_benchmark: 1366.8076, usercpu_time_millis: 5.609, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 5.232,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9643, kappa: 0.9277, kb_relative_information_score: 1159.6166, mean_absolute_error: 0.0862, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9643, predictive_accuracy: 0.9643, prior_entropy: 0.9912, recall: 0.9643, relative_absolute_error: 0.1745, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1727, root_relative_squared_error: 0.3475, scimark_benchmark: 1377.8755, usercpu_time_millis: 3.731, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 3.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.9116, kappa: 0.8207, kb_relative_information_score: 1006.6151, mean_absolute_error: 0.1422, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.912, predictive_accuracy: 0.9118, prior_entropy: 0.9912, recall: 0.9118, relative_absolute_error: 0.288, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2659, root_relative_squared_error: 0.535, scimark_benchmark: 1373.8705, usercpu_time_millis: 0.281, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.251,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9623, f_measure: 0.8805, kappa: 0.7582, kb_relative_information_score: 689.6326, mean_absolute_error: 0.273, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8806, predictive_accuracy: 0.8805, prior_entropy: 0.9912, recall: 0.8805, relative_absolute_error: 0.5528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3155, root_relative_squared_error: 0.6349, scimark_benchmark: 1375.9996, usercpu_time_millis: 3.445, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 2.996,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1214.4749, mean_absolute_error: 0.0698, 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: 0.1412, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1185, root_relative_squared_error: 0.2385, scimark_benchmark: 1375.9883, usercpu_time_millis: 0.401, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9984, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1102.3944, mean_absolute_error: 0.1163, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9776, predictive_accuracy: 0.9774, prior_entropy: 0.9912, recall: 0.9774, relative_absolute_error: 0.2356, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1679, root_relative_squared_error: 0.3378, scimark_benchmark: 1374.1138, usercpu_time_millis: 2.063, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 1.862,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1294.2439, mean_absolute_error: 0.0325, 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: 0.0658, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1016, root_relative_squared_error: 0.2044, scimark_benchmark: 1372.6245, usercpu_time_millis: 2.802, usercpu_time_millis_testing: 0.128, usercpu_time_millis_training: 2.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1216.6545, mean_absolute_error: 0.0691, 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: 0.1399, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1153, root_relative_squared_error: 0.2321, scimark_benchmark: 1383.0008, usercpu_time_millis: 2.491, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 2.239,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9628, kappa: 0.9248, kb_relative_information_score: 1049.9839, mean_absolute_error: 0.1337, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9629, predictive_accuracy: 0.9628, prior_entropy: 0.9912, recall: 0.9628, relative_absolute_error: 0.2707, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2053, root_relative_squared_error: 0.4132, scimark_benchmark: 1372.0341, usercpu_time_millis: 2.094, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 1.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1297.6046, mean_absolute_error: 0.031, 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: 0.0627, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0995, root_relative_squared_error: 0.2003, scimark_benchmark: 1369.114, usercpu_time_millis: 2.414, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 2.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9775, f_measure: 0.9357, kappa: 0.8695, kb_relative_information_score: 1059.0815, mean_absolute_error: 0.1212, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9363, predictive_accuracy: 0.9359, prior_entropy: 0.9912, recall: 0.9359, relative_absolute_error: 0.2455, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2367, root_relative_squared_error: 0.4764, scimark_benchmark: 1378.6512, usercpu_time_millis: 0.064, usercpu_time_millis_testing: 0.018, usercpu_time_millis_training: 0.046,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1245.4066, mean_absolute_error: 0.0551, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9883, predictive_accuracy: 0.9883, prior_entropy: 0.9912, recall: 0.9883, relative_absolute_error: 0.1115, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.2252, scimark_benchmark: 1377.3089, usercpu_time_millis: 6.579, usercpu_time_millis_testing: 0.544, usercpu_time_millis_training: 6.035,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0718, 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: 1381.4169, usercpu_time_millis: 1.907, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 1.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1332.4581, mean_absolute_error: 0.0144, 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: 0.0292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1058, root_relative_squared_error: 0.2129, scimark_benchmark: 1378.0467, usercpu_time_millis: 16.764, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 16.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1234.43, mean_absolute_error: 0.0614, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9906, predictive_accuracy: 0.9905, prior_entropy: 0.9912, recall: 0.9905, relative_absolute_error: 0.1244, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1067, root_relative_squared_error: 0.2146, scimark_benchmark: 1381.0367, usercpu_time_millis: 8.09, usercpu_time_millis_testing: 0.76, usercpu_time_millis_training: 7.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1276.4127, mean_absolute_error: 0.0426, 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: 0.0863, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.088, root_relative_squared_error: 0.177, scimark_benchmark: 1369.743, usercpu_time_millis: 3.064, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 2.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9709, kappa: 0.941, kb_relative_information_score: 1188.1375, mean_absolute_error: 0.0755, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9709, predictive_accuracy: 0.9708, prior_entropy: 0.9912, recall: 0.9708, relative_absolute_error: 0.1528, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3166, scimark_benchmark: 1373.6094, usercpu_time_millis: 7.337, usercpu_time_millis_testing: 0.533, usercpu_time_millis_training: 6.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4997, f_measure: 0.3966, kb_relative_information_score: -0.0427, 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: 1374.7663, usercpu_time_millis: 1.207, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0398, 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: 1374.2961, usercpu_time_millis: 1.99, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 1.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1232.8093, mean_absolute_error: 0.0573, 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: 0.116, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1362, root_relative_squared_error: 0.2741, scimark_benchmark: 1383.2412, usercpu_time_millis: 1.474, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 1.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9975, f_measure: 0.9723, kappa: 0.9441, kb_relative_information_score: 1062.7108, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9726, predictive_accuracy: 0.9723, prior_entropy: 0.9912, recall: 0.9723, relative_absolute_error: 0.2684, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1833, root_relative_squared_error: 0.3689, scimark_benchmark: 1372.5514, usercpu_time_millis: 2.425, usercpu_time_millis_testing: 0.183, usercpu_time_millis_training: 2.242,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1306.8842, mean_absolute_error: 0.0278, 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: 0.0563, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0851, root_relative_squared_error: 0.1713, scimark_benchmark: 1372.3726, usercpu_time_millis: 7.889, usercpu_time_millis_testing: 0.578, usercpu_time_millis_training: 7.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1288.0361, mean_absolute_error: 0.0375, 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: 0.0759, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0821, root_relative_squared_error: 0.1652, scimark_benchmark: 1377.5716, usercpu_time_millis: 12.105, usercpu_time_millis_testing: 0.896, usercpu_time_millis_training: 11.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1322.8058, mean_absolute_error: 0.021, 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: 0.0425, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0735, root_relative_squared_error: 0.1478, scimark_benchmark: 1378.2292, usercpu_time_millis: 8.173, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 7.646,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9936, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1088.6433, mean_absolute_error: 0.1181, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9689, predictive_accuracy: 0.9687, prior_entropy: 0.9912, recall: 0.9687, relative_absolute_error: 0.2391, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3824, scimark_benchmark: 1371.5886, usercpu_time_millis: 3.236, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 2.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, 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: 1377.8634, usercpu_time_millis: 1.121, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 0.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9658, kappa: 0.9307, kb_relative_information_score: 969.1931, mean_absolute_error: 0.1697, 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: 0.3436, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2189, root_relative_squared_error: 0.4404, scimark_benchmark: 1376.0773, usercpu_time_millis: 5.776, usercpu_time_millis_testing: 0.558, usercpu_time_millis_training: 5.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9825, kappa: 0.9646, kb_relative_information_score: 1253.0514, mean_absolute_error: 0.0493, 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: 0.0998, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1243, root_relative_squared_error: 0.2501, scimark_benchmark: 1373.8308, usercpu_time_millis: 5.65, usercpu_time_millis_testing: 0.383, usercpu_time_millis_training: 5.267,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.03, 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: 1374.968, usercpu_time_millis: 1.735, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 1.473,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1310.1051, mean_absolute_error: 0.0265, 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: 0.0536, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1672, scimark_benchmark: 1371.8758, usercpu_time_millis: 8.306, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 7.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1304.5435, mean_absolute_error: 0.029, 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: 0.0587, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0856, root_relative_squared_error: 0.1723, scimark_benchmark: 1372.1061, usercpu_time_millis: 8.745, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 8.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1302.641, mean_absolute_error: 0.0301, 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: 0.061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0829, root_relative_squared_error: 0.1669, scimark_benchmark: 1372.6151, usercpu_time_millis: 6.552, usercpu_time_millis_testing: 0.377, usercpu_time_millis_training: 6.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1304.8386, mean_absolute_error: 0.0292, 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: 0.0591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0808, root_relative_squared_error: 0.1626, scimark_benchmark: 1372.6211, usercpu_time_millis: 5.586, usercpu_time_millis_testing: 0.316, usercpu_time_millis_training: 5.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9379, kappa: 0.8739, kb_relative_information_score: 1001.7712, mean_absolute_error: 0.1522, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9386, predictive_accuracy: 0.938, prior_entropy: 0.9912, recall: 0.938, relative_absolute_error: 0.3081, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2252, root_relative_squared_error: 0.4532, scimark_benchmark: 1370.9558, usercpu_time_millis: 1.489, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 1.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9404, f_measure: 0.8639, kappa: 0.7251, kb_relative_information_score: 659.6174, mean_absolute_error: 0.2822, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8647, predictive_accuracy: 0.8637, prior_entropy: 0.9912, recall: 0.8637, relative_absolute_error: 0.5715, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3327, root_relative_squared_error: 0.6695, scimark_benchmark: 1370.134, usercpu_time_millis: 1.848, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 1.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1314.3882, mean_absolute_error: 0.0244, 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: 0.0495, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0818, root_relative_squared_error: 0.1646, scimark_benchmark: 1373.3714, usercpu_time_millis: 0.971, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.899,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1265.9688, mean_absolute_error: 0.044, 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: 0.0891, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1178, root_relative_squared_error: 0.2371, scimark_benchmark: 1369.8546, usercpu_time_millis: 0.378, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1306.2825, mean_absolute_error: 0.0285, 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: 0.0576, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0806, root_relative_squared_error: 0.1622, scimark_benchmark: 1735.4955, usercpu_time_millis: 1.496, usercpu_time_millis_testing: 0.13, usercpu_time_millis_training: 1.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.0522, 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: 1843.0558, usercpu_time_millis: 1.857, usercpu_time_millis_testing: 0.284, usercpu_time_millis_training: 1.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1111.5237, mean_absolute_error: 0.1132, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9812, predictive_accuracy: 0.9811, prior_entropy: 0.9912, recall: 0.9811, relative_absolute_error: 0.2292, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1615, root_relative_squared_error: 0.325, scimark_benchmark: 1989.906, usercpu_time_millis: 4.216, usercpu_time_millis_testing: 0.476, usercpu_time_millis_training: 3.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1231.2965, mean_absolute_error: 0.0611, 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: 0.1237, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1196, root_relative_squared_error: 0.2408, scimark_benchmark: 1858.0369, usercpu_time_millis: 2.783, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 2.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0811, 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: 1940.463, usercpu_time_millis: 0.887, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 0.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1302.5946, mean_absolute_error: 0.0301, 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: 0.0609, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0831, root_relative_squared_error: 0.1673, scimark_benchmark: 1789.656, usercpu_time_millis: 3.742, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 3.441,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: 0.021, 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: 1852.2589, usercpu_time_millis: 0.836, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.721,

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