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: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1332.2503, mean_absolute_error: 0.0165, 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: 0.0333, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.074, root_relative_squared_error: 0.149, scimark_benchmark: 1192.0331, usercpu_time_millis: 65.585, usercpu_time_millis_testing: 4.069, usercpu_time_millis_training: 61.516,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1318.644, mean_absolute_error: 0.0217, 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: 0.0439, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0918, root_relative_squared_error: 0.1847, scimark_benchmark: 1214.9899, usercpu_time_millis: 48.895, usercpu_time_millis_testing: 2.708, usercpu_time_millis_training: 46.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9364, kappa: 0.871, kb_relative_information_score: 1033.7189, mean_absolute_error: 0.136, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.937, predictive_accuracy: 0.9366, prior_entropy: 0.9912, recall: 0.9366, relative_absolute_error: 0.2753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2275, root_relative_squared_error: 0.4578, scimark_benchmark: 1189.1621, usercpu_time_millis: 33.074, usercpu_time_millis_testing: 2.902, usercpu_time_millis_training: 30.172,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1260.6059, mean_absolute_error: 0.0499, 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: 0.101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0941, root_relative_squared_error: 0.1894, scimark_benchmark: 1184.5329, usercpu_time_millis: 32.025, usercpu_time_millis_testing: 4.08, usercpu_time_millis_training: 27.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1271.9172, mean_absolute_error: 0.0428, 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: 0.0866, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1048, root_relative_squared_error: 0.211, scimark_benchmark: 1208.531, usercpu_time_millis: 25.227, usercpu_time_millis_testing: 2.122, usercpu_time_millis_training: 23.105,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.951, f_measure: 0.8923, kappa: 0.7812, kb_relative_information_score: 547.8583, mean_absolute_error: 0.3253, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8994, predictive_accuracy: 0.8936, prior_entropy: 0.9912, recall: 0.8936, relative_absolute_error: 0.6587, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3536, root_relative_squared_error: 0.7116, scimark_benchmark: 1190.9271, usercpu_time_millis: 2.211, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 1.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9527, f_measure: 0.8553, kappa: 0.7084, kb_relative_information_score: 719.5009, mean_absolute_error: 0.2588, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8574, predictive_accuracy: 0.855, prior_entropy: 0.9912, recall: 0.855, relative_absolute_error: 0.5239, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3212, root_relative_squared_error: 0.6464, scimark_benchmark: 1195.0969, usercpu_time_millis: 3.237, usercpu_time_millis_testing: 0.344, usercpu_time_millis_training: 2.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8618, kappa: 0.7211, kb_relative_information_score: 775.5644, mean_absolute_error: 0.2357, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8632, predictive_accuracy: 0.8615, prior_entropy: 0.9912, recall: 0.8615, relative_absolute_error: 0.4773, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3078, root_relative_squared_error: 0.6195, scimark_benchmark: 1186.3341, usercpu_time_millis: 2.877, usercpu_time_millis_testing: 0.333, usercpu_time_millis_training: 2.544,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1235.3394, mean_absolute_error: 0.0563, 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: 0.1141, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1345, root_relative_squared_error: 0.2706, scimark_benchmark: 1203.5317, usercpu_time_millis: 30.117, usercpu_time_millis_testing: 2.148, usercpu_time_millis_training: 27.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1208.0112, mean_absolute_error: 0.0729, 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: 0.1475, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.119, root_relative_squared_error: 0.2395, scimark_benchmark: 1198.0484, usercpu_time_millis: 14.606, usercpu_time_millis_testing: 1.199, usercpu_time_millis_training: 13.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8618, kappa: 0.7211, kb_relative_information_score: 733.8681, mean_absolute_error: 0.2531, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8632, predictive_accuracy: 0.8615, prior_entropy: 0.9912, recall: 0.8615, relative_absolute_error: 0.5124, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3159, root_relative_squared_error: 0.6358, scimark_benchmark: 1201.4791, usercpu_time_millis: 8.547, usercpu_time_millis_testing: 0.817, usercpu_time_millis_training: 7.73,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9949, kappa: 0.9897, kb_relative_information_score: 1331.8851, mean_absolute_error: 0.0166, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9949, predictive_accuracy: 0.9949, prior_entropy: 0.9912, recall: 0.9949, relative_absolute_error: 0.0336, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0779, root_relative_squared_error: 0.1567, scimark_benchmark: 1189.7262, usercpu_time_millis: 74.159, usercpu_time_millis_testing: 5.121, usercpu_time_millis_training: 69.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8794, f_measure: 0.8524, kappa: 0.7026, kb_relative_information_score: 732.5053, mean_absolute_error: 0.2513, 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: 0.5089, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3486, root_relative_squared_error: 0.7015, scimark_benchmark: 1201.1963, usercpu_time_millis: 16.806, usercpu_time_millis_testing: 1.801, usercpu_time_millis_training: 15.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9985, kappa: 0.997, kb_relative_information_score: 1358.6299, mean_absolute_error: 0.0057, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9985, predictive_accuracy: 0.9985, prior_entropy: 0.9912, recall: 0.9985, relative_absolute_error: 0.0115, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0431, root_relative_squared_error: 0.0868, scimark_benchmark: 1859.7394, usercpu_time_millis: 0.275, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 0.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9978, kappa: 0.9956, kb_relative_information_score: 1366.1947, mean_absolute_error: 0.002, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9978, predictive_accuracy: 0.9978, prior_entropy: 0.9912, recall: 0.9978, relative_absolute_error: 0.0041, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0438, root_relative_squared_error: 0.0881, scimark_benchmark: 1752.5683, usercpu_time_millis: 0.321, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 0.002,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1302.8749, mean_absolute_error: 0.03, 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: 0.0607, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0832, root_relative_squared_error: 0.1675, scimark_benchmark: 1213.1391, usercpu_time_millis: 16.092, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 14.805,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: -0.3897, 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: 1.0001, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1221.9574, usercpu_time_millis: 0.328, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.271,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9862, kappa: 0.972, kb_relative_information_score: 1217.1495, mean_absolute_error: 0.067, 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: 0.1356, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1262, root_relative_squared_error: 0.254, scimark_benchmark: 1229.0841, usercpu_time_millis: 34.377, usercpu_time_millis_testing: 3.309, usercpu_time_millis_training: 31.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1283.6996, mean_absolute_error: 0.0385, 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: 0.078, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0926, root_relative_squared_error: 0.1863, scimark_benchmark: 1212.9502, usercpu_time_millis: 14.434, usercpu_time_millis_testing: 1.038, usercpu_time_millis_training: 13.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1217.1107, mean_absolute_error: 0.0671, 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: 0.136, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1263, root_relative_squared_error: 0.2541, scimark_benchmark: 1216.2614, usercpu_time_millis: 40.125, usercpu_time_millis_testing: 3.947, usercpu_time_millis_training: 36.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1334.8134, mean_absolute_error: 0.0153, 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: 0.031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0731, root_relative_squared_error: 0.1471, scimark_benchmark: 1218.9774, usercpu_time_millis: 30.947, usercpu_time_millis_testing: 1.674, usercpu_time_millis_training: 29.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9956, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1118.9478, mean_absolute_error: 0.106, 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: 0.2146, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1769, root_relative_squared_error: 0.3559, scimark_benchmark: 1220.451, usercpu_time_millis: 19.305, usercpu_time_millis_testing: 1.554, usercpu_time_millis_training: 17.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: 0.0504, 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: 1, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.4969, root_relative_squared_error: 1, scimark_benchmark: 1213.7576, usercpu_time_millis: 15.115, usercpu_time_millis_testing: 1.965, usercpu_time_millis_training: 13.15,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0839, 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: 1219.4031, usercpu_time_millis: 6.869, usercpu_time_millis_testing: 0.899, usercpu_time_millis_training: 5.97,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1308.7876, mean_absolute_error: 0.0274, 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: 0.0555, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.079, root_relative_squared_error: 0.159, scimark_benchmark: 1214.5109, usercpu_time_millis: 33.004, usercpu_time_millis_testing: 3.428, usercpu_time_millis_training: 29.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9624, f_measure: 0.8916, kappa: 0.7799, kb_relative_information_score: 543.4466, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.898, predictive_accuracy: 0.8929, prior_entropy: 0.9912, recall: 0.8929, relative_absolute_error: 0.6625, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3534, root_relative_squared_error: 0.7112, scimark_benchmark: 1213.7242, usercpu_time_millis: 2.13, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1292.0143, mean_absolute_error: 0.0355, 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: 0.0719, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0816, root_relative_squared_error: 0.1643, scimark_benchmark: 1212.7857, usercpu_time_millis: 53.832, usercpu_time_millis_testing: 4.453, usercpu_time_millis_training: 49.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9641, f_measure: 0.8909, kappa: 0.7784, kb_relative_information_score: 507.0843, mean_absolute_error: 0.3405, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8973, predictive_accuracy: 0.8921, prior_entropy: 0.9912, recall: 0.8921, relative_absolute_error: 0.6894, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7291, scimark_benchmark: 1197.783, usercpu_time_millis: 13.845, usercpu_time_millis_testing: 1.505, usercpu_time_millis_training: 12.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.499, f_measure: 0.3966, kb_relative_information_score: 0.0181, 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: 1210.8477, usercpu_time_millis: 5.039, usercpu_time_millis_testing: 1.03, usercpu_time_millis_training: 4.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.974, f_measure: 0.9069, kappa: 0.8109, kb_relative_information_score: 821.4408, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9091, predictive_accuracy: 0.9074, prior_entropy: 0.9912, recall: 0.9074, relative_absolute_error: 0.4513, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2775, root_relative_squared_error: 0.5585, scimark_benchmark: 1200.5275, usercpu_time_millis: 4.066, usercpu_time_millis_testing: 0.425, usercpu_time_millis_training: 3.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.946, kappa: 0.8904, kb_relative_information_score: 1126.6962, mean_absolute_error: 0.0979, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9463, predictive_accuracy: 0.9461, prior_entropy: 0.9912, recall: 0.9461, relative_absolute_error: 0.1982, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1922, root_relative_squared_error: 0.3868, scimark_benchmark: 1223.5415, usercpu_time_millis: 1.835, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 1.725,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9327, kappa: 0.8634, kb_relative_information_score: 867.9414, mean_absolute_error: 0.2082, 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: 0.4215, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2554, root_relative_squared_error: 0.5139, scimark_benchmark: 1204.5237, usercpu_time_millis: 15.422, usercpu_time_millis_testing: 1.287, usercpu_time_millis_training: 14.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9967, f_measure: 0.9716, kappa: 0.9425, kb_relative_information_score: 1122.403, mean_absolute_error: 0.1051, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9717, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.2129, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1717, root_relative_squared_error: 0.3455, scimark_benchmark: 1202.2002, usercpu_time_millis: 32.807, usercpu_time_millis_testing: 3.163, usercpu_time_millis_training: 29.644,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1259.6603, 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: 0.0992, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.105, root_relative_squared_error: 0.2113, scimark_benchmark: 1222.3247, usercpu_time_millis: 24.836, usercpu_time_millis_testing: 2.44, usercpu_time_millis_training: 22.396,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9687, kappa: 0.9367, kb_relative_information_score: 1112.8374, mean_absolute_error: 0.108, 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: 0.2186, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1819, root_relative_squared_error: 0.366, scimark_benchmark: 1183.8889, usercpu_time_millis: 14.081, usercpu_time_millis_testing: 1.131, usercpu_time_millis_training: 12.95,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1330.2286, mean_absolute_error: 0.0174, 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: 0.0352, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0746, root_relative_squared_error: 0.1501, scimark_benchmark: 1204.0904, usercpu_time_millis: 29.241, usercpu_time_millis_testing: 1.934, usercpu_time_millis_training: 27.307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9796, kappa: 0.9587, kb_relative_information_score: 1205.1123, mean_absolute_error: 0.0703, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9796, predictive_accuracy: 0.9796, prior_entropy: 0.9912, recall: 0.9796, relative_absolute_error: 0.1424, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1403, root_relative_squared_error: 0.2823, scimark_benchmark: 1189.9538, usercpu_time_millis: 26.279, usercpu_time_millis_testing: 2.065, usercpu_time_millis_training: 24.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.3966, kb_relative_information_score: -0.0181, 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: 1198.9016, usercpu_time_millis: 9.841, usercpu_time_millis_testing: 1.257, usercpu_time_millis_training: 8.584,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: -0.1025, 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: 1207.923, usercpu_time_millis: 2.879, usercpu_time_millis_testing: 0.325, usercpu_time_millis_training: 2.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1228.7006, mean_absolute_error: 0.0638, 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: 0.1293, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1098, root_relative_squared_error: 0.2209, scimark_benchmark: 1204.3186, usercpu_time_millis: 15.581, usercpu_time_millis_testing: 1.468, usercpu_time_millis_training: 14.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1322.3311, mean_absolute_error: 0.02, 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: 0.0406, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.1801, scimark_benchmark: 1214.7568, usercpu_time_millis: 13.014, usercpu_time_millis_testing: 0.72, usercpu_time_millis_training: 12.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1326.1568, mean_absolute_error: 0.0193, 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: 0.0391, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.075, root_relative_squared_error: 0.1509, scimark_benchmark: 1205.3582, usercpu_time_millis: 50.474, usercpu_time_millis_testing: 2.505, usercpu_time_millis_training: 47.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9547, f_measure: 0.8721, kappa: 0.7423, kb_relative_information_score: 867.9072, mean_absolute_error: 0.1974, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8745, predictive_accuracy: 0.8717, prior_entropy: 0.9912, recall: 0.8717, relative_absolute_error: 0.3997, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.5802, scimark_benchmark: 1197.0865, usercpu_time_millis: 4.62, usercpu_time_millis_testing: 0.41, usercpu_time_millis_training: 4.21,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9702, kappa: 0.9396, kb_relative_information_score: 1020.0594, mean_absolute_error: 0.1493, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9704, predictive_accuracy: 0.9701, prior_entropy: 0.9912, recall: 0.9701, relative_absolute_error: 0.3023, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.201, root_relative_squared_error: 0.4045, scimark_benchmark: 1195.2847, usercpu_time_millis: 4.504, usercpu_time_millis_testing: 0.428, usercpu_time_millis_training: 4.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8997, f_measure: 0.8495, kappa: 0.6965, kb_relative_information_score: 738.1684, mean_absolute_error: 0.2478, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8514, predictive_accuracy: 0.8491, prior_entropy: 0.9912, recall: 0.8491, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3406, root_relative_squared_error: 0.6854, scimark_benchmark: 1207.7689, usercpu_time_millis: 11.289, usercpu_time_millis_testing: 1.229, usercpu_time_millis_training: 10.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9905, f_measure: 0.9504, kappa: 0.8995, kb_relative_information_score: 1106.8286, mean_absolute_error: 0.1072, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9504, predictive_accuracy: 0.9504, prior_entropy: 0.9912, recall: 0.9504, relative_absolute_error: 0.217, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1986, root_relative_squared_error: 0.3996, scimark_benchmark: 1197.9913, usercpu_time_millis: 1.288, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 1.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1287.4995, mean_absolute_error: 0.0353, 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: 0.0715, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.2101, scimark_benchmark: 1209.7822, usercpu_time_millis: 30.49, usercpu_time_millis_testing: 2.689, usercpu_time_millis_training: 27.801,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1309.8508, mean_absolute_error: 0.0258, 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: 0.0522, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.1876, scimark_benchmark: 1203.6748, usercpu_time_millis: 68.579, usercpu_time_millis_testing: 3.716, usercpu_time_millis_training: 64.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1264.08, mean_absolute_error: 0.0472, 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: 0.0955, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1018, root_relative_squared_error: 0.2049, scimark_benchmark: 1175.3193, usercpu_time_millis: 17.222, usercpu_time_millis_testing: 1.292, usercpu_time_millis_training: 15.93,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5004, f_measure: 0.3966, kb_relative_information_score: -0.0913, 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: 1211.9627, usercpu_time_millis: 5.967, usercpu_time_millis_testing: 0.907, usercpu_time_millis_training: 5.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9558, f_measure: 0.8546, kappa: 0.7069, kb_relative_information_score: 757.7377, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8567, predictive_accuracy: 0.8542, prior_entropy: 0.9912, recall: 0.8542, relative_absolute_error: 0.4921, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3154, root_relative_squared_error: 0.6347, scimark_benchmark: 1196.9731, usercpu_time_millis: 4.739, usercpu_time_millis_testing: 0.489, usercpu_time_millis_training: 4.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9898, kappa: 0.9793, kb_relative_information_score: 1292.6343, mean_absolute_error: 0.0339, 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: 0.0687, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0932, root_relative_squared_error: 0.1875, scimark_benchmark: 1198.6925, usercpu_time_millis: 30.711, usercpu_time_millis_testing: 2.189, usercpu_time_millis_training: 28.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9518, f_measure: 0.8611, kappa: 0.7197, kb_relative_information_score: 703.4654, mean_absolute_error: 0.2653, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8625, predictive_accuracy: 0.8608, prior_entropy: 0.9912, recall: 0.8608, relative_absolute_error: 0.5372, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3228, root_relative_squared_error: 0.6495, scimark_benchmark: 1198.1899, usercpu_time_millis: 8.836, usercpu_time_millis_testing: 0.972, usercpu_time_millis_training: 7.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.9138, kappa: 0.8251, kb_relative_information_score: 987.1399, mean_absolute_error: 0.1511, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9142, predictive_accuracy: 0.914, prior_entropy: 0.9912, recall: 0.914, relative_absolute_error: 0.3059, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.536, scimark_benchmark: 1200.5476, usercpu_time_millis: 32.002, usercpu_time_millis_testing: 2.451, usercpu_time_millis_training: 29.551,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1322.1247, mean_absolute_error: 0.0202, 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: 0.0409, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0895, root_relative_squared_error: 0.1801, scimark_benchmark: 1206.6171, usercpu_time_millis: 26.041, usercpu_time_millis_testing: 1.31, usercpu_time_millis_training: 24.731,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1298.5796, mean_absolute_error: 0.0325, 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: 0.0657, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1593, scimark_benchmark: 1195.7307, usercpu_time_millis: 56.92, usercpu_time_millis_testing: 4.448, usercpu_time_millis_training: 52.472,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0904, 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: 1202.6572, usercpu_time_millis: 3.826, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 3.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1291.1903, mean_absolute_error: 0.0359, 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: 0.0727, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.082, root_relative_squared_error: 0.165, scimark_benchmark: 1213.9064, usercpu_time_millis: 42.967, usercpu_time_millis_testing: 4.419, usercpu_time_millis_training: 38.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1180.0037, mean_absolute_error: 0.0847, 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: 0.1716, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1322, root_relative_squared_error: 0.2661, scimark_benchmark: 1198.2725, usercpu_time_millis: 34.312, usercpu_time_millis_testing: 3.164, usercpu_time_millis_training: 31.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9927, kappa: 0.9853, kb_relative_information_score: 1288.2798, mean_absolute_error: 0.0373, 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: 0.0755, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0828, root_relative_squared_error: 0.1667, scimark_benchmark: 1182.989, usercpu_time_millis: 35.058, usercpu_time_millis_testing: 3.277, usercpu_time_millis_training: 31.781,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: 0.039, 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: 1201.1767, usercpu_time_millis: 5.306, usercpu_time_millis_testing: 0.698, usercpu_time_millis_training: 4.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9803, kappa: 0.9602, kb_relative_information_score: 1103.7992, mean_absolute_error: 0.1161, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9804, predictive_accuracy: 0.9803, prior_entropy: 0.9912, recall: 0.9803, relative_absolute_error: 0.2351, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1658, root_relative_squared_error: 0.3338, scimark_benchmark: 1210.3415, usercpu_time_millis: 39.721, usercpu_time_millis_testing: 3.876, usercpu_time_millis_training: 35.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1285.5035, mean_absolute_error: 0.0377, 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: 0.0763, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0915, root_relative_squared_error: 0.1842, scimark_benchmark: 1205.4063, usercpu_time_millis: 5.579, usercpu_time_millis_testing: 0.402, usercpu_time_millis_training: 5.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1329.8253, mean_absolute_error: 0.0163, 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: 0.033, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0946, root_relative_squared_error: 0.1903, scimark_benchmark: 1199.5187, usercpu_time_millis: 49.877, usercpu_time_millis_testing: 2.446, usercpu_time_millis_training: 47.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9869, kappa: 0.9734, kb_relative_information_score: 1251.1711, mean_absolute_error: 0.0513, 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: 0.1039, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1171, root_relative_squared_error: 0.2357, scimark_benchmark: 1195.7891, usercpu_time_millis: 15.069, usercpu_time_millis_testing: 1.088, usercpu_time_millis_training: 13.981,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1253.9436, mean_absolute_error: 0.0515, 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: 0.1043, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1068, root_relative_squared_error: 0.2149, scimark_benchmark: 1174.3222, usercpu_time_millis: 10.687, usercpu_time_millis_testing: 0.802, usercpu_time_millis_training: 9.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0579, 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: 1188.0377, usercpu_time_millis: 4.457, usercpu_time_millis_testing: 0.53, usercpu_time_millis_training: 3.927,

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