OpenML
Supervised Classification on banknote-authentication

Supervised Classification on banknote-authentication

Task 145834 Supervised Classification banknote-authentication 43621 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1271.5288, mean_absolute_error: 0.0449, 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: 0.091, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.1819, scimark_benchmark: 1330.1275, usercpu_time_millis: 3.595, usercpu_time_millis_testing: 0.286, usercpu_time_millis_training: 3.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9977, f_measure: 0.9767, kappa: 0.9529, kb_relative_information_score: 1147.5885, mean_absolute_error: 0.095, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9769, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1923, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1613, root_relative_squared_error: 0.3246, scimark_benchmark: 1326.8905, usercpu_time_millis: 4.837, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 4.483,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9946, f_measure: 0.968, kappa: 0.9352, kb_relative_information_score: 1098.7409, mean_absolute_error: 0.1144, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9681, predictive_accuracy: 0.9679, prior_entropy: 0.9912, recall: 0.9679, relative_absolute_error: 0.2316, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3703, scimark_benchmark: 1332.8113, usercpu_time_millis: 7.7, usercpu_time_millis_testing: 0.582, usercpu_time_millis_training: 7.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: -0.4249, 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: 1316.2713, usercpu_time_millis: 1.343, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 1.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1226.9486, mean_absolute_error: 0.062, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1256, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1265, root_relative_squared_error: 0.2546, scimark_benchmark: 1308.1528, usercpu_time_millis: 37.098, usercpu_time_millis_testing: 2.727, usercpu_time_millis_training: 34.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1322.1016, 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: 0.0426, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0782, root_relative_squared_error: 0.1574, scimark_benchmark: 1308.2124, usercpu_time_millis: 33.071, usercpu_time_millis_testing: 2.136, usercpu_time_millis_training: 30.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9712, f_measure: 0.916, kappa: 0.8295, kb_relative_information_score: 1004.011, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9165, predictive_accuracy: 0.9162, prior_entropy: 0.9912, recall: 0.9162, relative_absolute_error: 0.2905, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.256, root_relative_squared_error: 0.5151, scimark_benchmark: 1300.4948, usercpu_time_millis: 29.278, usercpu_time_millis_testing: 1.747, usercpu_time_millis_training: 27.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9731, kappa: 0.9455, kb_relative_information_score: 1124.1178, mean_absolute_error: 0.1045, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9732, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.2116, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1708, root_relative_squared_error: 0.3437, scimark_benchmark: 1328.5176, usercpu_time_millis: 29.932, usercpu_time_millis_testing: 2.74, usercpu_time_millis_training: 27.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1302.2001, mean_absolute_error: 0.0286, 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: 0.0578, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1022, root_relative_squared_error: 0.2057, scimark_benchmark: 1332.71, usercpu_time_millis: 61.643, usercpu_time_millis_testing: 3.855, usercpu_time_millis_training: 57.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1208.0562, mean_absolute_error: 0.0708, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.1434, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1302, root_relative_squared_error: 0.262, scimark_benchmark: 1317.9112, usercpu_time_millis: 19.544, usercpu_time_millis_testing: 1.997, usercpu_time_millis_training: 17.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9767, kappa: 0.9528, kb_relative_information_score: 1225.5028, mean_absolute_error: 0.0603, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9767, predictive_accuracy: 0.9767, prior_entropy: 0.9912, recall: 0.9767, relative_absolute_error: 0.1221, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1395, root_relative_squared_error: 0.2807, scimark_benchmark: 1327.0002, usercpu_time_millis: 3.553, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 3.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1317.8572, mean_absolute_error: 0.023, 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: 0.0465, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0801, root_relative_squared_error: 0.1612, scimark_benchmark: 1312.1308, usercpu_time_millis: 16.711, usercpu_time_millis_testing: 1.02, usercpu_time_millis_training: 15.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.984, kappa: 0.9675, kb_relative_information_score: 1214.6772, mean_absolute_error: 0.0671, 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: 0.1358, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.134, root_relative_squared_error: 0.2697, scimark_benchmark: 1310.3855, usercpu_time_millis: 13, usercpu_time_millis_testing: 0.828, usercpu_time_millis_training: 12.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.0597, 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: 1327.4574, usercpu_time_millis: 2.617, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 2.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9818, kappa: 0.9632, kb_relative_information_score: 1118.5001, mean_absolute_error: 0.1099, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9819, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.2226, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1599, root_relative_squared_error: 0.3218, scimark_benchmark: 1320.531, usercpu_time_millis: 3.864, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 3.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1293.9215, mean_absolute_error: 0.0294, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9818, predictive_accuracy: 0.9818, prior_entropy: 0.9912, recall: 0.9818, relative_absolute_error: 0.0595, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1216, root_relative_squared_error: 0.2447, scimark_benchmark: 1327.031, usercpu_time_millis: 0.193, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.157,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1250.3947, mean_absolute_error: 0.0544, 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: 0.1101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.2, scimark_benchmark: 1330.5932, usercpu_time_millis: 37.764, usercpu_time_millis_testing: 3.37, usercpu_time_millis_training: 34.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9705, f_measure: 0.9099, kappa: 0.8171, kb_relative_information_score: 900.8914, mean_absolute_error: 0.1885, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9115, predictive_accuracy: 0.9104, prior_entropy: 0.9912, recall: 0.9104, relative_absolute_error: 0.3816, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2677, root_relative_squared_error: 0.5386, scimark_benchmark: 1296.4873, usercpu_time_millis: 19.576, usercpu_time_millis_testing: 1.624, usercpu_time_millis_training: 17.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9871, f_measure: 0.9164, kappa: 0.8301, kb_relative_information_score: 867.0927, mean_absolute_error: 0.2068, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9192, predictive_accuracy: 0.9169, prior_entropy: 0.9912, recall: 0.9169, relative_absolute_error: 0.4187, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2604, root_relative_squared_error: 0.524, scimark_benchmark: 1334.6985, usercpu_time_millis: 12.85, usercpu_time_millis_testing: 1.333, usercpu_time_millis_training: 11.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1161.0798, mean_absolute_error: 0.0927, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.987, predictive_accuracy: 0.9869, prior_entropy: 0.9912, recall: 0.9869, relative_absolute_error: 0.1876, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1409, root_relative_squared_error: 0.2834, scimark_benchmark: 1314.7227, usercpu_time_millis: 11.629, usercpu_time_millis_testing: 1.011, usercpu_time_millis_training: 10.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9815, f_measure: 0.9261, kappa: 0.8499, kb_relative_information_score: 1001.7537, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9276, predictive_accuracy: 0.9264, prior_entropy: 0.9912, recall: 0.9264, relative_absolute_error: 0.2985, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.4916, scimark_benchmark: 1322.9276, usercpu_time_millis: 31.472, usercpu_time_millis_testing: 2.864, usercpu_time_millis_training: 28.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1309.2471, mean_absolute_error: 0.0272, 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: 0.055, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0793, root_relative_squared_error: 0.1596, scimark_benchmark: 1303.5151, usercpu_time_millis: 32.825, usercpu_time_millis_testing: 2.401, usercpu_time_millis_training: 30.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.0352, 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: 1299.5059, usercpu_time_millis: 5.318, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 4.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9881, f_measure: 0.9386, kappa: 0.8754, kb_relative_information_score: 857.7981, mean_absolute_error: 0.2123, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9393, predictive_accuracy: 0.9388, prior_entropy: 0.9912, recall: 0.9388, relative_absolute_error: 0.4298, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2581, root_relative_squared_error: 0.5193, scimark_benchmark: 1295.612, usercpu_time_millis: 4.47, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 4.05,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1314.7644, mean_absolute_error: 0.0248, 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: 0.0502, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0754, root_relative_squared_error: 0.1518, scimark_benchmark: 1288.378, usercpu_time_millis: 22.991, usercpu_time_millis_testing: 1.639, usercpu_time_millis_training: 21.352,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1301.1188, mean_absolute_error: 0.0302, 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: 0.0611, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0892, root_relative_squared_error: 0.1795, scimark_benchmark: 1301.9482, usercpu_time_millis: 6.995, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 6.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9947, f_measure: 0.9607, kappa: 0.9204, kb_relative_information_score: 1124.9722, mean_absolute_error: 0.1015, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9608, predictive_accuracy: 0.9606, prior_entropy: 0.9912, recall: 0.9606, relative_absolute_error: 0.2055, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1816, root_relative_squared_error: 0.3655, scimark_benchmark: 1319.1934, usercpu_time_millis: 33.375, usercpu_time_millis_testing: 2.178, usercpu_time_millis_training: 31.197,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1115.6968, mean_absolute_error: 0.1111, 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: 0.225, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1614, root_relative_squared_error: 0.3249, scimark_benchmark: 1316.1407, usercpu_time_millis: 17.309, usercpu_time_millis_testing: 1.768, usercpu_time_millis_training: 15.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8992, f_measure: 0.8532, kappa: 0.7041, kb_relative_information_score: 739.4832, mean_absolute_error: 0.2484, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8555, predictive_accuracy: 0.8528, prior_entropy: 0.9912, recall: 0.8528, relative_absolute_error: 0.503, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3463, root_relative_squared_error: 0.6969, scimark_benchmark: 1310.938, usercpu_time_millis: 10.513, usercpu_time_millis_testing: 1.013, usercpu_time_millis_training: 9.5,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1253.9914, mean_absolute_error: 0.0505, 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: 0.1024, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.114, root_relative_squared_error: 0.2295, scimark_benchmark: 1295.7621, usercpu_time_millis: 40.796, usercpu_time_millis_testing: 2.705, usercpu_time_millis_training: 38.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8976, kappa: 0.792, kb_relative_information_score: 638.769, mean_absolute_error: 0.2939, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9037, predictive_accuracy: 0.8987, prior_entropy: 0.9912, recall: 0.8987, relative_absolute_error: 0.595, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3248, root_relative_squared_error: 0.6537, scimark_benchmark: 1321.5128, usercpu_time_millis: 11.581, usercpu_time_millis_testing: 1.214, usercpu_time_millis_training: 10.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: 0.005, 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: 1329.18, usercpu_time_millis: 2.208, usercpu_time_millis_testing: 0.378, usercpu_time_millis_training: 1.83,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1301.8775, mean_absolute_error: 0.0305, 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: 0.0617, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0826, root_relative_squared_error: 0.1661, scimark_benchmark: 1332.0957, usercpu_time_millis: 29.952, usercpu_time_millis_testing: 2.431, usercpu_time_millis_training: 27.521,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1291.3258, mean_absolute_error: 0.0333, 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: 0.0674, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2101, scimark_benchmark: 1356.3454, usercpu_time_millis: 0.252, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.207,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1221.8234, mean_absolute_error: 0.0652, 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: 0.1319, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.124, root_relative_squared_error: 0.2494, scimark_benchmark: 1300.3003, usercpu_time_millis: 14.072, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 13.084,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1318.3218, mean_absolute_error: 0.0229, 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: 0.0463, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0785, root_relative_squared_error: 0.1581, scimark_benchmark: 1298.6084, usercpu_time_millis: 6.921, usercpu_time_millis_testing: 0.354, usercpu_time_millis_training: 6.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1300.6796, mean_absolute_error: 0.0306, 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: 0.062, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.088, root_relative_squared_error: 0.1771, scimark_benchmark: 1300.2185, usercpu_time_millis: 43.4, usercpu_time_millis_testing: 2.658, usercpu_time_millis_training: 40.742,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1285.762, mean_absolute_error: 0.0369, 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: 0.0747, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.097, root_relative_squared_error: 0.1953, scimark_benchmark: 1324.4808, usercpu_time_millis: 43.976, usercpu_time_millis_testing: 3.048, usercpu_time_millis_training: 40.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: 0.0457, 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: 1302.9887, usercpu_time_millis: 2.028, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 1.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9869, kappa: 0.9735, kb_relative_information_score: 1297.1869, mean_absolute_error: 0.0301, 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: 0.061, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1106, root_relative_squared_error: 0.2226, scimark_benchmark: 1330.7379, usercpu_time_millis: 12.52, usercpu_time_millis_testing: 0.7, usercpu_time_millis_training: 11.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1319.4987, mean_absolute_error: 0.0225, 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: 0.0456, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0745, root_relative_squared_error: 0.1498, scimark_benchmark: 1299.6969, usercpu_time_millis: 35.061, usercpu_time_millis_testing: 3.201, usercpu_time_millis_training: 31.86,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3966, kb_relative_information_score: 0.0201, 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: 1332.6156, usercpu_time_millis: 0.696, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 0.578,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9477, f_measure: 0.8632, kappa: 0.7235, kb_relative_information_score: 700.2213, mean_absolute_error: 0.2662, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8638, predictive_accuracy: 0.863, prior_entropy: 0.9912, recall: 0.863, relative_absolute_error: 0.539, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3229, root_relative_squared_error: 0.6498, scimark_benchmark: 1327.4001, usercpu_time_millis: 0.503, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1101.7974, mean_absolute_error: 0.117, 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: 0.2368, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1663, root_relative_squared_error: 0.3346, scimark_benchmark: 1300.6274, usercpu_time_millis: 8.201, usercpu_time_millis_testing: 0.709, usercpu_time_millis_training: 7.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9672, kappa: 0.9337, kb_relative_information_score: 1079.0383, mean_absolute_error: 0.122, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9674, predictive_accuracy: 0.9672, prior_entropy: 0.9912, recall: 0.9672, relative_absolute_error: 0.2471, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1938, root_relative_squared_error: 0.39, scimark_benchmark: 1292.9026, usercpu_time_millis: 30.686, usercpu_time_millis_testing: 2.641, usercpu_time_millis_training: 28.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9854, kappa: 0.9705, kb_relative_information_score: 1247.5623, mean_absolute_error: 0.0533, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9854, predictive_accuracy: 0.9854, prior_entropy: 0.9912, recall: 0.9854, relative_absolute_error: 0.108, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2356, scimark_benchmark: 1293.8802, usercpu_time_millis: 44.613, usercpu_time_millis_testing: 2.634, usercpu_time_millis_training: 41.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1331.5163, mean_absolute_error: 0.0154, 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: 0.0312, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0959, root_relative_squared_error: 0.1931, scimark_benchmark: 1318.8201, usercpu_time_millis: 23.906, usercpu_time_millis_testing: 1.072, usercpu_time_millis_training: 22.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9942, f_measure: 0.9585, kappa: 0.9159, kb_relative_information_score: 1121.2561, mean_absolute_error: 0.1029, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9585, predictive_accuracy: 0.9585, prior_entropy: 0.9912, recall: 0.9585, relative_absolute_error: 0.2084, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.184, root_relative_squared_error: 0.3703, scimark_benchmark: 1308.3909, usercpu_time_millis: 16.501, usercpu_time_millis_testing: 1.045, usercpu_time_millis_training: 15.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1290.2905, mean_absolute_error: 0.0362, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0734, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.1666, scimark_benchmark: 1330.3382, usercpu_time_millis: 12.779, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 11.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1183.8675, mean_absolute_error: 0.083, 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: 0.168, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1315, root_relative_squared_error: 0.2647, scimark_benchmark: 1302.9471, usercpu_time_millis: 4.387, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 4.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1294.0567, mean_absolute_error: 0.0336, 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: 0.068, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0914, root_relative_squared_error: 0.1839, scimark_benchmark: 1316.6401, usercpu_time_millis: 45.71, usercpu_time_millis_testing: 3.185, usercpu_time_millis_training: 42.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1288.4561, mean_absolute_error: 0.0364, 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: 0.0737, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0898, root_relative_squared_error: 0.1807, scimark_benchmark: 1316.6393, usercpu_time_millis: 35.612, usercpu_time_millis_testing: 2.776, usercpu_time_millis_training: 32.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1331.5216, mean_absolute_error: 0.0168, 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: 0.034, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0741, root_relative_squared_error: 0.1491, scimark_benchmark: 1284.3403, usercpu_time_millis: 32.77, usercpu_time_millis_testing: 2.088, usercpu_time_millis_training: 30.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1332.392, mean_absolute_error: 0.0148, 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: 0.03, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.2, scimark_benchmark: 1316.642, usercpu_time_millis: 66.754, usercpu_time_millis_testing: 2.738, usercpu_time_millis_training: 64.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1305.2272, 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: 0.0585, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0817, root_relative_squared_error: 0.1645, scimark_benchmark: 1287.7773, usercpu_time_millis: 6.777, usercpu_time_millis_testing: 0.478, usercpu_time_millis_training: 6.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0572, 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: 1300.8138, usercpu_time_millis: 4.051, usercpu_time_millis_testing: 0.532, usercpu_time_millis_training: 3.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1298.9144, mean_absolute_error: 0.0323, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9928, predictive_accuracy: 0.9927, prior_entropy: 0.9912, recall: 0.9927, relative_absolute_error: 0.0655, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.079, root_relative_squared_error: 0.1589, scimark_benchmark: 1268.8776, usercpu_time_millis: 14.621, usercpu_time_millis_testing: 1.238, usercpu_time_millis_training: 13.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1287.8362, 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: 0.076, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0824, root_relative_squared_error: 0.1659, scimark_benchmark: 1337.2502, usercpu_time_millis: 5.631, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 5.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9511, kappa: 0.9009, kb_relative_information_score: 1075.6586, mean_absolute_error: 0.1202, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9512, predictive_accuracy: 0.9512, prior_entropy: 0.9912, recall: 0.9512, relative_absolute_error: 0.2435, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4154, scimark_benchmark: 1291.8765, usercpu_time_millis: 4.999, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 4.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1279.5367, mean_absolute_error: 0.0403, 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: 0.0815, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0948, root_relative_squared_error: 0.1907, scimark_benchmark: 1297.7087, usercpu_time_millis: 35.391, usercpu_time_millis_testing: 2.463, usercpu_time_millis_training: 32.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1329.5023, mean_absolute_error: 0.018, 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: 0.0363, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0708, root_relative_squared_error: 0.1425, scimark_benchmark: 1284.2104, usercpu_time_millis: 37.668, usercpu_time_millis_testing: 2.504, usercpu_time_millis_training: 35.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1299.2676, mean_absolute_error: 0.0311, 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: 0.063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0896, root_relative_squared_error: 0.1803, scimark_benchmark: 1323.0672, usercpu_time_millis: 11.831, usercpu_time_millis_testing: 0.874, usercpu_time_millis_training: 10.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1275.6993, mean_absolute_error: 0.0401, 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: 0.0812, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.2253, scimark_benchmark: 1287.237, usercpu_time_millis: 20.283, usercpu_time_millis_testing: 1.385, usercpu_time_millis_training: 18.898,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1318.4243, mean_absolute_error: 0.0228, 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: 0.0462, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0786, root_relative_squared_error: 0.1582, scimark_benchmark: 1318.6928, usercpu_time_millis: 27.644, usercpu_time_millis_testing: 1.549, usercpu_time_millis_training: 26.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9847, kappa: 0.969, kb_relative_information_score: 1226.5645, mean_absolute_error: 0.0617, 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: 0.1249, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1289, root_relative_squared_error: 0.2594, scimark_benchmark: 1321.9704, usercpu_time_millis: 19.191, usercpu_time_millis_testing: 1.512, usercpu_time_millis_training: 17.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9614, kappa: 0.9218, kb_relative_information_score: 1050.3705, mean_absolute_error: 0.1329, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9614, predictive_accuracy: 0.9614, prior_entropy: 0.9912, recall: 0.9614, relative_absolute_error: 0.2692, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2082, root_relative_squared_error: 0.419, scimark_benchmark: 1319.6351, usercpu_time_millis: 17.893, usercpu_time_millis_testing: 1.605, usercpu_time_millis_training: 16.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0335, 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: 1296.8802, usercpu_time_millis: 7.987, usercpu_time_millis_testing: 1.094, usercpu_time_millis_training: 6.893,

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