Task
Supervised Classification on monks-problems-3

Supervised Classification on monks-problems-3

Task 146066 Supervised Classification monks-problems-3 32406 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9846, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 523.0528, mean_absolute_error: 0.0325, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0651, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.2307,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9802, f_measure: 0.9621, kappa: 0.9242, kb_relative_information_score: 483.0167, mean_absolute_error: 0.0714, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9629, predictive_accuracy: 0.9621, prior_entropy: 0.9989, recall: 0.9621, relative_absolute_error: 0.143, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.182, root_relative_squared_error: 0.3643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9783, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 413.407, mean_absolute_error: 0.1515, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.3034, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2086, root_relative_squared_error: 0.4176,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9824, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 523.0506, mean_absolute_error: 0.032, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.0642, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1248, root_relative_squared_error: 0.2499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 416.2842, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 515.7628, mean_absolute_error: 0.0384, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.077, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1343, root_relative_squared_error: 0.2688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 534.1113, mean_absolute_error: 0.0204, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0408, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1044, root_relative_squared_error: 0.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 530.5912, mean_absolute_error: 0.0213, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.0426, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1417, root_relative_squared_error: 0.2837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9835, f_measure: 0.9765, kappa: 0.953, kb_relative_information_score: 335.2518, mean_absolute_error: 0.2325, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9766, predictive_accuracy: 0.9765, prior_entropy: 0.9989, recall: 0.9765, relative_absolute_error: 0.4658, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2569, root_relative_squared_error: 0.5142,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.986, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 394.2879, mean_absolute_error: 0.1775, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.3556, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1977, root_relative_squared_error: 0.3956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9826, f_measure: 0.9621, kappa: 0.9241, kb_relative_information_score: 482.4936, mean_absolute_error: 0.0717, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9622, predictive_accuracy: 0.9621, prior_entropy: 0.9989, recall: 0.9621, relative_absolute_error: 0.1436, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1812, root_relative_squared_error: 0.3626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9884, f_measure: 0.9819, kappa: 0.9638, kb_relative_information_score: 533.5746, mean_absolute_error: 0.0191, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9819, predictive_accuracy: 0.9819, prior_entropy: 0.9989, recall: 0.9819, relative_absolute_error: 0.0383, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1179, root_relative_squared_error: 0.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.988, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 361.3247, mean_absolute_error: 0.2059, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.4124, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.238, root_relative_squared_error: 0.4765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9804, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 417.4129, mean_absolute_error: 0.1473, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.295, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2057, root_relative_squared_error: 0.4117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9763, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 418.1307, mean_absolute_error: 0.1466, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2936, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2071, root_relative_squared_error: 0.4145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9744, f_measure: 0.9567, kappa: 0.9132, kb_relative_information_score: 234.1036, mean_absolute_error: 0.3226, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9567, predictive_accuracy: 0.9567, prior_entropy: 0.9989, recall: 0.9567, relative_absolute_error: 0.6462, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3386, root_relative_squared_error: 0.6777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.3556, kb_relative_information_score: -0.0183, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 362.8901, mean_absolute_error: 0.2051, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9802, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.4109, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2356, root_relative_squared_error: 0.4716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.985, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 495.7778, mean_absolute_error: 0.0565, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1132, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1698, root_relative_squared_error: 0.3398,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.6313, mean_absolute_error: 0.0207, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1061, root_relative_squared_error: 0.2123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.989, f_measure: 0.9729, kappa: 0.9458, kb_relative_information_score: 512.2648, mean_absolute_error: 0.0411, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9729, predictive_accuracy: 0.9729, prior_entropy: 0.9989, recall: 0.9729, relative_absolute_error: 0.0823, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.144, root_relative_squared_error: 0.2883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9747, kappa: 0.9494, kb_relative_information_score: 525.9321, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 0.9989, recall: 0.9747, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 416.2842, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.5552, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.2103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 416.2842, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9904, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 502.1837, mean_absolute_error: 0.056, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.1123, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1297, root_relative_squared_error: 0.2596,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9646, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 513.905, mean_absolute_error: 0.0361, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.0723, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.19, root_relative_squared_error: 0.3803,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 412.7666, mean_absolute_error: 0.1521, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.3047, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2092, root_relative_squared_error: 0.4187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.975, f_measure: 0.9747, kappa: 0.9494, kb_relative_information_score: 525.9321, mean_absolute_error: 0.0253, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9748, predictive_accuracy: 0.9747, prior_entropy: 0.9989, recall: 0.9747, relative_absolute_error: 0.0506, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.159, root_relative_squared_error: 0.3182,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 533.5552, mean_absolute_error: 0.0211, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0422, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1051, root_relative_squared_error: 0.2103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9798, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 416.2842, mean_absolute_error: 0.1484, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2973, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2064, root_relative_squared_error: 0.4132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9801, kappa: 0.9602, kb_relative_information_score: 525.1831, mean_absolute_error: 0.0281, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9801, predictive_accuracy: 0.9801, prior_entropy: 0.9989, recall: 0.9801, relative_absolute_error: 0.0564, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1246, root_relative_squared_error: 0.2493, scimark_benchmark: 1738.0527, usercpu_time_millis: 2.956, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 2.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9939, f_measure: 0.9729, kappa: 0.9458, kb_relative_information_score: 497.9889, mean_absolute_error: 0.0591, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9731, predictive_accuracy: 0.9729, prior_entropy: 0.9989, recall: 0.9729, relative_absolute_error: 0.1185, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1375, root_relative_squared_error: 0.2753, scimark_benchmark: 1739.7128, usercpu_time_millis: 1.437, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1.201,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 353.2028, mean_absolute_error: 0.2089, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.4185, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2663, root_relative_squared_error: 0.533, scimark_benchmark: 1743.0184, usercpu_time_millis: 1.671, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 1.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 422.6688, mean_absolute_error: 0.1434, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.2873, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1861, root_relative_squared_error: 0.3724, scimark_benchmark: 1746.6883, usercpu_time_millis: 1.03, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9894, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 515.4575, mean_absolute_error: 0.0422, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0846, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.2306, scimark_benchmark: 1736.4936, usercpu_time_millis: 2.394, usercpu_time_millis_testing: 0.292, usercpu_time_millis_training: 2.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9933, f_measure: 0.9838, kappa: 0.9675, kb_relative_information_score: 493.4326, mean_absolute_error: 0.0654, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9838, predictive_accuracy: 0.9838, prior_entropy: 0.9989, recall: 0.9838, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1355, root_relative_squared_error: 0.2713, scimark_benchmark: 1746.226, usercpu_time_millis: 1.383, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 1.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 508.346, mean_absolute_error: 0.0501, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1004, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1214, root_relative_squared_error: 0.2431, scimark_benchmark: 1749.1199, usercpu_time_millis: 1.959, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 1.698,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.984, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 278.1848, mean_absolute_error: 0.2868, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5746, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3002, root_relative_squared_error: 0.6008, scimark_benchmark: 1748.0598, usercpu_time_millis: 0.394, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 369.7087, mean_absolute_error: 0.1989, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.3985, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2283, root_relative_squared_error: 0.457, scimark_benchmark: 1747.5976, usercpu_time_millis: 1.805, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 1.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9858, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 327.1012, mean_absolute_error: 0.2411, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.4829, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2626, root_relative_squared_error: 0.5257, scimark_benchmark: 1746.2876, usercpu_time_millis: 0.488, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.408,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9879, f_measure: 0.9675, kappa: 0.935, kb_relative_information_score: 471.1819, mean_absolute_error: 0.0903, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9679, predictive_accuracy: 0.9675, prior_entropy: 0.9989, recall: 0.9675, relative_absolute_error: 0.1809, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1517, root_relative_squared_error: 0.3037, scimark_benchmark: 1749.5822, usercpu_time_millis: 0.937, usercpu_time_millis_testing: 0.134, usercpu_time_millis_training: 0.803,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 493.8727, mean_absolute_error: 0.0622, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1247, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1497, root_relative_squared_error: 0.2995, scimark_benchmark: 1750.6423, usercpu_time_millis: 1.737, usercpu_time_millis_testing: 0.263, usercpu_time_millis_training: 1.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9911, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 512.0285, mean_absolute_error: 0.0443, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0888, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1279, root_relative_squared_error: 0.2561, scimark_benchmark: 1739.4545, usercpu_time_millis: 1.904, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 1.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 526.7901, mean_absolute_error: 0.029, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0581, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1085, root_relative_squared_error: 0.2171, scimark_benchmark: 1702.1541, usercpu_time_millis: 4.16, usercpu_time_millis_testing: 0.973, usercpu_time_millis_training: 3.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.991, f_measure: 0.9693, kappa: 0.9386, kb_relative_information_score: 500.5292, mean_absolute_error: 0.0541, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9696, predictive_accuracy: 0.9693, prior_entropy: 0.9989, recall: 0.9693, relative_absolute_error: 0.1084, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.151, root_relative_squared_error: 0.3022, scimark_benchmark: 1722.1869, usercpu_time_millis: 0.557, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 0.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.3556, kb_relative_information_score: -0.0095, mean_absolute_error: 0.4992, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.2703, predictive_accuracy: 0.5199, prior_entropy: 0.9989, recall: 0.5199, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4996, root_relative_squared_error: 1, scimark_benchmark: 1721.6954, usercpu_time_millis: 1.271, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 0.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 530.2564, mean_absolute_error: 0.0239, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0478, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1119, root_relative_squared_error: 0.224, scimark_benchmark: 1725.1718, usercpu_time_millis: 2.096, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.789,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 482.3682, mean_absolute_error: 0.0742, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1487, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1694, root_relative_squared_error: 0.3391, scimark_benchmark: 1794.1657, usercpu_time_millis: 1.949, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9865, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 288.7935, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5565, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2903, root_relative_squared_error: 0.5811, scimark_benchmark: 1757.6594, usercpu_time_millis: 3.03, usercpu_time_millis_testing: 0.468, usercpu_time_millis_training: 2.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9672, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 154.6583, mean_absolute_error: 0.3896, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.7804, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3958, root_relative_squared_error: 0.7923, scimark_benchmark: 1735.7725, usercpu_time_millis: 0.939, usercpu_time_millis_testing: 0.193, usercpu_time_millis_training: 0.746,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9585, kappa: 0.9169, kb_relative_information_score: 88.0832, mean_absolute_error: 0.44, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9587, predictive_accuracy: 0.9585, prior_entropy: 0.9989, recall: 0.9585, relative_absolute_error: 0.8814, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4419, root_relative_squared_error: 0.8845, scimark_benchmark: 1711.6556, usercpu_time_millis: 0.898, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.796,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 488.2724, mean_absolute_error: 0.0671, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.1343, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1832, root_relative_squared_error: 0.3668, scimark_benchmark: 1721.96, usercpu_time_millis: 0.794, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9934, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 526.3768, mean_absolute_error: 0.0291, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0584, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1088, root_relative_squared_error: 0.2178, scimark_benchmark: 1791.2467, usercpu_time_millis: 1.086, usercpu_time_millis_testing: 0.157, usercpu_time_millis_training: 0.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9913, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 529.123, mean_absolute_error: 0.025, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.05, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1152, root_relative_squared_error: 0.2305, scimark_benchmark: 1754.7547, usercpu_time_millis: 0.487, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9917, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 504.1478, mean_absolute_error: 0.0539, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.1081, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1266, root_relative_squared_error: 0.2534, scimark_benchmark: 1750.8765, usercpu_time_millis: 0.408, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 522.7385, mean_absolute_error: 0.0329, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.066, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1143, root_relative_squared_error: 0.2288, scimark_benchmark: 1864.5074, usercpu_time_millis: 2.12, usercpu_time_millis_testing: 0.28, usercpu_time_millis_training: 1.84,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9914, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 530.9178, mean_absolute_error: 0.0241, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0482, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1062, root_relative_squared_error: 0.2126, scimark_benchmark: 1868.1832, usercpu_time_millis: 2.111, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9902, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 433.9516, mean_absolute_error: 0.1313, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.263, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.1774, root_relative_squared_error: 0.355, scimark_benchmark: 1869.8223, usercpu_time_millis: 1.5, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 1.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9908, f_measure: 0.9892, kappa: 0.9783, kb_relative_information_score: 528.9088, mean_absolute_error: 0.0264, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9893, predictive_accuracy: 0.9892, prior_entropy: 0.9989, recall: 0.9892, relative_absolute_error: 0.0529, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.107, root_relative_squared_error: 0.2141, scimark_benchmark: 1867.725, usercpu_time_millis: 1.245, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 1.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9703, f_measure: 0.9567, kappa: 0.9133, kb_relative_information_score: 89.3545, mean_absolute_error: 0.4391, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9568, predictive_accuracy: 0.9567, prior_entropy: 0.9989, recall: 0.9567, relative_absolute_error: 0.8795, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.8829, scimark_benchmark: 1857.0384, usercpu_time_millis: 0.264, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 0.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9854, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 384.0171, mean_absolute_error: 0.184, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.3687, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.4361, scimark_benchmark: 1868.1832, usercpu_time_millis: 2.333, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 2.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9844, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 287.8733, mean_absolute_error: 0.2787, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.5583, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.583, scimark_benchmark: 1857.1082, usercpu_time_millis: 2.728, usercpu_time_millis_testing: 0.351, usercpu_time_millis_training: 2.377,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9607, f_measure: 0.9639, kappa: 0.9278, kb_relative_information_score: 198.3974, mean_absolute_error: 0.3525, mean_prior_absolute_error: 0.4992, number_of_instances: 554, precision: 0.9646, predictive_accuracy: 0.9639, prior_entropy: 0.9989, recall: 0.9639, relative_absolute_error: 0.7061, root_mean_prior_squared_error: 0.4996, root_mean_squared_error: 0.3665, root_relative_squared_error: 0.7335, scimark_benchmark: 1868.7112, usercpu_time_millis: 1.098, usercpu_time_millis_testing: 0.225, usercpu_time_millis_training: 0.873,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs