Task
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: 0.9979, f_measure: 0.9781, kappa: 0.9558, kb_relative_information_score: 1256.0617, mean_absolute_error: 0.0474, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9782, predictive_accuracy: 0.9781, prior_entropy: 0.9912, recall: 0.9781, relative_absolute_error: 0.096, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1296, root_relative_squared_error: 0.2608, scimark_benchmark: 1189.0695, usercpu_time_millis: 6.029, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 5.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9867, kb_relative_information_score: 1319.6571, mean_absolute_error: 0.0222, 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: 0.0449, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0791, root_relative_squared_error: 0.1593, scimark_benchmark: 1192.1727, usercpu_time_millis: 39.183, usercpu_time_millis_testing: 2.529, usercpu_time_millis_training: 36.654,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.3966, kb_relative_information_score: -0.0018, 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: 1186.6557, usercpu_time_millis: 2.504, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 2.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1284.5862, mean_absolute_error: 0.0363, 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: 0.0735, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.109, root_relative_squared_error: 0.2194, scimark_benchmark: 1183.3378, usercpu_time_millis: 41.483, usercpu_time_millis_testing: 2.526, usercpu_time_millis_training: 38.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9658, f_measure: 0.8921, kappa: 0.7813, kb_relative_information_score: 865.2802, mean_absolute_error: 0.2022, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.892, predictive_accuracy: 0.8921, prior_entropy: 0.9912, recall: 0.8921, relative_absolute_error: 0.4094, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.276, root_relative_squared_error: 0.5555, scimark_benchmark: 1183.5946, usercpu_time_millis: 19.434, usercpu_time_millis_testing: 2.066, usercpu_time_millis_training: 17.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1329.3538, mean_absolute_error: 0.0167, 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: 0.0338, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0905, root_relative_squared_error: 0.1821, scimark_benchmark: 1191.2303, usercpu_time_millis: 13.621, usercpu_time_millis_testing: 0.769, usercpu_time_millis_training: 12.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, 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: 1169.312, usercpu_time_millis: 9.902, usercpu_time_millis_testing: 1.422, usercpu_time_millis_training: 8.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9658, kappa: 0.9307, kb_relative_information_score: 1070.1555, mean_absolute_error: 0.1257, 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: 0.2545, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1969, root_relative_squared_error: 0.3963, scimark_benchmark: 1168.9727, usercpu_time_millis: 6.669, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 6.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9898, kappa: 0.9794, kb_relative_information_score: 1235.4637, mean_absolute_error: 0.0607, 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: 0.1229, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1077, root_relative_squared_error: 0.2166, scimark_benchmark: 1174.9169, usercpu_time_millis: 29.313, usercpu_time_millis_testing: 3.255, usercpu_time_millis_training: 26.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.3966, kb_relative_information_score: 0.045, 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: 1170.153, usercpu_time_millis: 10.616, usercpu_time_millis_testing: 1.222, usercpu_time_millis_training: 9.394,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.8923, kappa: 0.7812, kb_relative_information_score: 467.1334, mean_absolute_error: 0.3546, 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: 0.718, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3729, root_relative_squared_error: 0.7503, scimark_benchmark: 1174.586, usercpu_time_millis: 7.996, usercpu_time_millis_testing: 0.969, usercpu_time_millis_training: 7.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9709, f_measure: 0.9048, kappa: 0.8068, kb_relative_information_score: 780.1719, mean_absolute_error: 0.2387, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9063, predictive_accuracy: 0.9052, prior_entropy: 0.9912, recall: 0.9052, relative_absolute_error: 0.4833, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2883, root_relative_squared_error: 0.5801, scimark_benchmark: 1180.6932, usercpu_time_millis: 4.52, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 4.063,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9716, kappa: 0.9426, kb_relative_information_score: 1083.0057, mean_absolute_error: 0.124, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.972, predictive_accuracy: 0.9716, prior_entropy: 0.9912, recall: 0.9716, relative_absolute_error: 0.251, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1765, root_relative_squared_error: 0.3553, scimark_benchmark: 1176.108, usercpu_time_millis: 35.384, usercpu_time_millis_testing: 4.706, usercpu_time_millis_training: 30.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9774, kappa: 0.9543, kb_relative_information_score: 1230.4415, mean_absolute_error: 0.0583, 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: 0.1181, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1365, root_relative_squared_error: 0.2748, scimark_benchmark: 1185.7729, usercpu_time_millis: 33.75, usercpu_time_millis_testing: 2.879, usercpu_time_millis_training: 30.871,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1313.544, mean_absolute_error: 0.0252, 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: 0.051, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0775, root_relative_squared_error: 0.1559, scimark_benchmark: 1179.087, usercpu_time_millis: 32.139, usercpu_time_millis_testing: 2.275, usercpu_time_millis_training: 29.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9818, kappa: 0.9631, kb_relative_information_score: 1248.9141, mean_absolute_error: 0.0509, 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: 0.1031, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1272, root_relative_squared_error: 0.256, scimark_benchmark: 1175.6756, usercpu_time_millis: 28.028, usercpu_time_millis_testing: 2.121, usercpu_time_millis_training: 25.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9585, kappa: 0.9159, kb_relative_information_score: 957.9612, mean_absolute_error: 0.1738, 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: 0.3519, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.224, root_relative_squared_error: 0.4507, scimark_benchmark: 1177.0046, usercpu_time_millis: 24.712, usercpu_time_millis_testing: 2.621, usercpu_time_millis_training: 22.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9514, f_measure: 0.8726, kappa: 0.7425, kb_relative_information_score: 609.7318, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8731, predictive_accuracy: 0.8724, prior_entropy: 0.9912, recall: 0.8724, relative_absolute_error: 0.6117, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3392, root_relative_squared_error: 0.6826, scimark_benchmark: 1180.6518, usercpu_time_millis: 13.9, usercpu_time_millis_testing: 1.938, usercpu_time_millis_training: 11.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1230.426, mean_absolute_error: 0.0614, 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: 0.1243, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1207, root_relative_squared_error: 0.2429, scimark_benchmark: 1176.209, usercpu_time_millis: 7.673, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 7.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9647, f_measure: 0.9152, kappa: 0.8281, kb_relative_information_score: 985.4345, mean_absolute_error: 0.1518, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9157, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.3073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2615, root_relative_squared_error: 0.5262, scimark_benchmark: 1176.8491, usercpu_time_millis: 28.873, usercpu_time_millis_testing: 3.198, usercpu_time_millis_training: 25.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9942, kappa: 0.9882, kb_relative_information_score: 1323.2629, mean_absolute_error: 0.0207, 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: 0.0418, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0761, root_relative_squared_error: 0.1531, scimark_benchmark: 1172.1672, usercpu_time_millis: 59.403, usercpu_time_millis_testing: 3.203, usercpu_time_millis_training: 56.2,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1316.8401, mean_absolute_error: 0.0227, 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: 0.0459, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0904, root_relative_squared_error: 0.182, scimark_benchmark: 1164.7392, usercpu_time_millis: 38.902, usercpu_time_millis_testing: 2.299, usercpu_time_millis_training: 36.603,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1294.2887, 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: 0.1014, root_relative_squared_error: 0.204, scimark_benchmark: 1176.0605, usercpu_time_millis: 35.66, usercpu_time_millis_testing: 2.251, usercpu_time_millis_training: 33.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9694, kappa: 0.9382, kb_relative_information_score: 1108.1447, mean_absolute_error: 0.1105, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9697, predictive_accuracy: 0.9694, prior_entropy: 0.9912, recall: 0.9694, relative_absolute_error: 0.2238, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1802, root_relative_squared_error: 0.3627, scimark_benchmark: 1177.7565, usercpu_time_millis: 32.372, usercpu_time_millis_testing: 3.232, usercpu_time_millis_training: 29.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9876, kappa: 0.9749, kb_relative_information_score: 1255.7862, mean_absolute_error: 0.0499, 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: 0.101, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1123, root_relative_squared_error: 0.226, scimark_benchmark: 1175.1581, usercpu_time_millis: 30.332, usercpu_time_millis_testing: 2.131, usercpu_time_millis_training: 28.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9913, kappa: 0.9823, kb_relative_information_score: 1322.3688, mean_absolute_error: 0.0202, 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: 0.0409, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0881, root_relative_squared_error: 0.1772, scimark_benchmark: 1188.5611, usercpu_time_millis: 41.348, usercpu_time_millis_testing: 2.184, usercpu_time_millis_training: 39.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.9153, kappa: 0.8282, kb_relative_information_score: 990.4778, mean_absolute_error: 0.15, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9156, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.3037, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2565, root_relative_squared_error: 0.5161, scimark_benchmark: 1202.5302, usercpu_time_millis: 15.454, usercpu_time_millis_testing: 1.286, usercpu_time_millis_training: 14.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1296.9938, mean_absolute_error: 0.0313, 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: 0.0633, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0994, root_relative_squared_error: 0.2, scimark_benchmark: 1175.6616, usercpu_time_millis: 11.916, usercpu_time_millis_testing: 0.721, usercpu_time_millis_training: 11.195,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0574, 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: 1176.5211, usercpu_time_millis: 10.79, usercpu_time_millis_testing: 1.564, usercpu_time_millis_training: 9.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1256.6861, mean_absolute_error: 0.0502, 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: 0.1017, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2137, scimark_benchmark: 1161.7035, usercpu_time_millis: 42.565, usercpu_time_millis_testing: 3.295, usercpu_time_millis_training: 39.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9586, f_measure: 0.8923, kappa: 0.7812, kb_relative_information_score: 525.6034, mean_absolute_error: 0.3335, 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: 0.6753, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3583, root_relative_squared_error: 0.7211, scimark_benchmark: 1178.1404, usercpu_time_millis: 4.741, usercpu_time_millis_testing: 0.443, usercpu_time_millis_training: 4.298,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1310.663, mean_absolute_error: 0.0262, 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: 0.0531, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0835, root_relative_squared_error: 0.168, scimark_benchmark: 1168.8838, usercpu_time_millis: 1.273, usercpu_time_millis_testing: -0.015, usercpu_time_millis_training: 1.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9787, f_measure: 0.9126, kappa: 0.8225, kb_relative_information_score: 869.702, mean_absolute_error: 0.2041, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.916, predictive_accuracy: 0.9133, prior_entropy: 0.9912, recall: 0.9133, relative_absolute_error: 0.4134, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5335, scimark_benchmark: 1175.2883, usercpu_time_millis: 21.095, usercpu_time_millis_testing: 2.522, usercpu_time_millis_training: 18.573,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9811, kappa: 0.9617, kb_relative_information_score: 1189.6669, mean_absolute_error: 0.078, 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: 0.158, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1404, root_relative_squared_error: 0.2825, scimark_benchmark: 1164.1244, usercpu_time_millis: 29.712, usercpu_time_millis_testing: 3.636, usercpu_time_millis_training: 26.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9883, kappa: 0.9764, kb_relative_information_score: 1284.4235, mean_absolute_error: 0.0365, 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: 0.0738, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1071, root_relative_squared_error: 0.2156, scimark_benchmark: 1159.3344, usercpu_time_millis: 24.565, usercpu_time_millis_testing: 2.182, usercpu_time_millis_training: 22.383,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9511, kappa: 0.901, kb_relative_information_score: 1091.7863, mean_absolute_error: 0.1138, 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: 0.2304, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2002, root_relative_squared_error: 0.4029, scimark_benchmark: 1185.8003, usercpu_time_millis: 7.623, usercpu_time_millis_testing: 0.415, usercpu_time_millis_training: 7.208,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9662, f_measure: 0.9077, kappa: 0.8126, kb_relative_information_score: 944.0194, mean_absolute_error: 0.1702, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9095, predictive_accuracy: 0.9082, prior_entropy: 0.9912, recall: 0.9082, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2651, root_relative_squared_error: 0.5335, scimark_benchmark: 1206.811, usercpu_time_millis: 0.821, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9697, f_measure: 0.8946, kappa: 0.7862, kb_relative_information_score: 780.0715, mean_absolute_error: 0.2386, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8956, predictive_accuracy: 0.895, prior_entropy: 0.9912, recall: 0.895, relative_absolute_error: 0.4831, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2887, root_relative_squared_error: 0.581, scimark_benchmark: 1198.5839, usercpu_time_millis: 8.442, usercpu_time_millis_testing: 0.987, usercpu_time_millis_training: 7.455,
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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: 1275.8142, mean_absolute_error: 0.0413, 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: 0.0836, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1019, root_relative_squared_error: 0.2051, scimark_benchmark: 1187.8196, usercpu_time_millis: 36.199, usercpu_time_millis_testing: 2.973, usercpu_time_millis_training: 33.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8878, f_measure: 0.851, kappa: 0.6996, kb_relative_information_score: 732.1587, mean_absolute_error: 0.2509, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.853, predictive_accuracy: 0.8506, prior_entropy: 0.9912, recall: 0.8506, relative_absolute_error: 0.508, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3446, root_relative_squared_error: 0.6934, scimark_benchmark: 1183.4629, usercpu_time_millis: 20.861, usercpu_time_millis_testing: 1.794, usercpu_time_millis_training: 19.067,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5007, f_measure: 0.3966, kb_relative_information_score: -0.0143, 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: 1191.1198, usercpu_time_millis: 3.89, usercpu_time_millis_testing: 0.576, usercpu_time_millis_training: 3.314,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.9152, kappa: 0.828, kb_relative_information_score: 884.2729, mean_absolute_error: 0.1952, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9158, predictive_accuracy: 0.9155, prior_entropy: 0.9912, recall: 0.9155, relative_absolute_error: 0.3953, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2702, root_relative_squared_error: 0.5438, scimark_benchmark: 1205.6607, usercpu_time_millis: 6.471, usercpu_time_millis_testing: 0.654, usercpu_time_millis_training: 5.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.965, kappa: 0.9293, kb_relative_information_score: 1123.7671, mean_absolute_error: 0.1019, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9652, predictive_accuracy: 0.965, prior_entropy: 0.9912, recall: 0.965, relative_absolute_error: 0.2064, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1815, root_relative_squared_error: 0.3653, scimark_benchmark: 1204.9706, usercpu_time_millis: 1.217, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 1.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3966, kb_relative_information_score: -0.1008, 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: 1191.2114, usercpu_time_millis: 0.213, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9752, kappa: 0.9499, kb_relative_information_score: 1226.3167, mean_absolute_error: 0.0598, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9753, predictive_accuracy: 0.9752, prior_entropy: 0.9912, recall: 0.9752, relative_absolute_error: 0.1211, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1436, root_relative_squared_error: 0.289, scimark_benchmark: 1195.3876, usercpu_time_millis: 32.481, usercpu_time_millis_testing: 2.504, usercpu_time_millis_training: 29.977,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9951, f_measure: 0.973, kappa: 0.9454, kb_relative_information_score: 1238.0844, mean_absolute_error: 0.0525, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9731, predictive_accuracy: 0.973, prior_entropy: 0.9912, recall: 0.973, relative_absolute_error: 0.1063, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1551, root_relative_squared_error: 0.312, scimark_benchmark: 1185.0144, usercpu_time_millis: 73.944, usercpu_time_millis_testing: 5.16, usercpu_time_millis_training: 68.784,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3966, kb_relative_information_score: -0.0737, 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: 1192.8369, usercpu_time_millis: 9.581, usercpu_time_millis_testing: 1.403, usercpu_time_millis_training: 8.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9683, f_measure: 0.8938, kappa: 0.7843, kb_relative_information_score: 612.9402, mean_absolute_error: 0.3031, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9006, predictive_accuracy: 0.895, prior_entropy: 0.9912, recall: 0.895, relative_absolute_error: 0.6138, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.6689, scimark_benchmark: 1195.9524, usercpu_time_millis: 6.357, usercpu_time_millis_testing: 0.741, usercpu_time_millis_training: 5.616,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9918, f_measure: 0.9643, kappa: 0.9278, kb_relative_information_score: 1062.7968, mean_absolute_error: 0.128, 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: 0.2591, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.203, root_relative_squared_error: 0.4085, scimark_benchmark: 1191.2443, usercpu_time_millis: 13.983, usercpu_time_millis_testing: 1.418, usercpu_time_millis_training: 12.565,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9511, kappa: 0.9009, kb_relative_information_score: 926.0453, mean_absolute_error: 0.1861, 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: 0.3769, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.235, root_relative_squared_error: 0.4729, scimark_benchmark: 1178.422, usercpu_time_millis: 17.143, usercpu_time_millis_testing: 1.726, usercpu_time_millis_training: 15.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9891, kappa: 0.9779, kb_relative_information_score: 1218.1744, mean_absolute_error: 0.0683, 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: 0.1383, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1155, root_relative_squared_error: 0.2323, scimark_benchmark: 1197.7882, usercpu_time_millis: 3.498, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 3.18,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.923, kappa: 0.8437, kb_relative_information_score: 816.0675, mean_absolute_error: 0.2278, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9252, predictive_accuracy: 0.9235, prior_entropy: 0.9912, recall: 0.9235, relative_absolute_error: 0.4612, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2718, root_relative_squared_error: 0.547, scimark_benchmark: 1189.4338, usercpu_time_millis: 24.684, usercpu_time_millis_testing: 2.812, usercpu_time_millis_training: 21.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5001, f_measure: 0.3966, kb_relative_information_score: 0.0305, 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: 1189.0615, usercpu_time_millis: 1.795, usercpu_time_millis_testing: 0.29, usercpu_time_millis_training: 1.505,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3966, kb_relative_information_score: -0.0664, 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: 1205.3245, usercpu_time_millis: 9.384, usercpu_time_millis_testing: 1.146, usercpu_time_millis_training: 8.238,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4992, f_measure: 0.3966, kb_relative_information_score: -0.0757, 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: 1194.9261, usercpu_time_millis: 8.687, usercpu_time_millis_testing: 1.289, usercpu_time_millis_training: 7.398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4996, f_measure: 0.3966, kb_relative_information_score: -0.028, 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: 1192.4498, usercpu_time_millis: 2.441, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 2.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1239.2204, mean_absolute_error: 0.0593, 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: 0.1201, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.1046, root_relative_squared_error: 0.2105, scimark_benchmark: 1200.542, usercpu_time_millis: 27.958, usercpu_time_millis_testing: 2.554, usercpu_time_millis_training: 25.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8653, kappa: 0.7275, kb_relative_information_score: 549.1552, mean_absolute_error: 0.325, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8656, predictive_accuracy: 0.8652, prior_entropy: 0.9912, recall: 0.8652, relative_absolute_error: 0.658, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3541, root_relative_squared_error: 0.7126, scimark_benchmark: 1197.9001, usercpu_time_millis: 4.666, usercpu_time_millis_testing: 0.676, usercpu_time_millis_training: 3.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9976, f_measure: 0.9723, kappa: 0.9441, kb_relative_information_score: 1062.4128, 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: 0.1836, root_relative_squared_error: 0.3694, scimark_benchmark: 1202.4335, usercpu_time_millis: 13.688, usercpu_time_millis_testing: 1.266, usercpu_time_millis_training: 12.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9388, f_measure: 0.8546, kappa: 0.7069, kb_relative_information_score: 659.4614, mean_absolute_error: 0.2823, 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: 0.5716, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3363, root_relative_squared_error: 0.6768, scimark_benchmark: 1190.4548, usercpu_time_millis: 10.271, usercpu_time_millis_testing: 1.313, usercpu_time_millis_training: 8.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.3966, kb_relative_information_score: -0.0444, 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: 1189.2772, usercpu_time_millis: 5.15, usercpu_time_millis_testing: 0.785, usercpu_time_millis_training: 4.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4993, f_measure: 0.3966, kb_relative_information_score: -0.0381, 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: 1194.558, usercpu_time_millis: 6.958, usercpu_time_millis_testing: 1.124, usercpu_time_millis_training: 5.834,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.889, f_measure: 0.8517, kappa: 0.7011, kb_relative_information_score: 732.9092, mean_absolute_error: 0.2505, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8538, predictive_accuracy: 0.8513, prior_entropy: 0.9912, recall: 0.8513, relative_absolute_error: 0.5073, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3438, root_relative_squared_error: 0.6919, scimark_benchmark: 1180.3676, usercpu_time_millis: 4.522, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 4.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.992, kappa: 0.9838, kb_relative_information_score: 1258.388, mean_absolute_error: 0.0508, 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: 0.1028, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0957, root_relative_squared_error: 0.1927, scimark_benchmark: 1201.5444, usercpu_time_millis: 19.215, usercpu_time_millis_testing: 1.942, usercpu_time_millis_training: 17.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.8777, kappa: 0.7527, kb_relative_information_score: 735.4917, mean_absolute_error: 0.2553, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.8781, predictive_accuracy: 0.8776, prior_entropy: 0.9912, recall: 0.8776, relative_absolute_error: 0.5169, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.3033, root_relative_squared_error: 0.6103, scimark_benchmark: 1201.5896, usercpu_time_millis: 15.773, usercpu_time_millis_testing: 2.011, usercpu_time_millis_training: 13.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1302.552, mean_absolute_error: 0.0289, 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: 0.0586, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.097, root_relative_squared_error: 0.1951, scimark_benchmark: 1194.6645, usercpu_time_millis: 61.107, usercpu_time_millis_testing: 3.887, usercpu_time_millis_training: 57.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.3966, kb_relative_information_score: -0.0744, 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: 1196.4784, usercpu_time_millis: 8.096, usercpu_time_millis_testing: 1.186, usercpu_time_millis_training: 6.91,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9927, kappa: 0.9852, kb_relative_information_score: 1298.3955, mean_absolute_error: 0.032, 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: 0.0647, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0857, root_relative_squared_error: 0.1724, scimark_benchmark: 1187.2254, usercpu_time_millis: 4, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 3.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9423, kappa: 0.883, kb_relative_information_score: 1029.1823, mean_absolute_error: 0.1376, mean_prior_absolute_error: 0.4939, number_of_instances: 1372, precision: 0.9427, predictive_accuracy: 0.9424, prior_entropy: 0.9912, recall: 0.9424, relative_absolute_error: 0.2786, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.2285, root_relative_squared_error: 0.4598, scimark_benchmark: 1197.8326, usercpu_time_millis: 0.676, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9905, kappa: 0.9808, kb_relative_information_score: 1250.7111, mean_absolute_error: 0.0541, 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: 0.1096, root_mean_prior_squared_error: 0.4969, root_mean_squared_error: 0.0998, root_relative_squared_error: 0.2008, scimark_benchmark: 1192.8317, usercpu_time_millis: 49.565, usercpu_time_millis_testing: 4.198, usercpu_time_millis_training: 45.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4999, f_measure: 0.3966, kb_relative_information_score: 0.0048, 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: 1186.418, usercpu_time_millis: 4.019, usercpu_time_millis_testing: 0.69, usercpu_time_millis_training: 3.329,

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