OpenML
Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261942 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8939, f_measure: 0.5213, kb_relative_information_score: 70.121, mean_absolute_error: 0.4077, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9046, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.434, root_relative_squared_error: 0.9144, scimark_benchmark: 1790.3612, usercpu_time_millis: 1.044, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.894,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9889, f_measure: 0.897, kappa: 0.7661, kb_relative_information_score: 223.8245, mean_absolute_error: 0.3114, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9146, predictive_accuracy: 0.9018, prior_entropy: 0.9279, recall: 0.9018, relative_absolute_error: 0.691, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3454, root_relative_squared_error: 0.7277, scimark_benchmark: 1865.2449, usercpu_time_millis: 6.771, usercpu_time_millis_testing: 1.144, usercpu_time_millis_training: 5.627,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.2354, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1872.8797, usercpu_time_millis: 0.815, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7825, f_measure: 0.6578, kappa: 0.2449, kb_relative_information_score: 69.9745, mean_absolute_error: 0.401, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7909, predictive_accuracy: 0.7238, prior_entropy: 0.9279, recall: 0.7238, relative_absolute_error: 0.8897, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4335, root_relative_squared_error: 0.9132, scimark_benchmark: 1814.5841, usercpu_time_millis: 0.596, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7665, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 45.362, mean_absolute_error: 0.4189, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9294, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4464, root_relative_squared_error: 0.9404, scimark_benchmark: 1872.8797, usercpu_time_millis: 2.192, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 1.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7013, f_measure: 0.5213, kb_relative_information_score: 21.905, mean_absolute_error: 0.4343, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9636, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4601, root_relative_squared_error: 0.9693, scimark_benchmark: 1790.8194, usercpu_time_millis: 1.828, usercpu_time_millis_testing: 0.467, usercpu_time_millis_training: 1.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8486, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 58.159, mean_absolute_error: 0.4136, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9177, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9266, scimark_benchmark: 1868.1832, usercpu_time_millis: 1.322, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.9926, kb_relative_information_score: 592.7326, mean_absolute_error: 0.0069, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.9279, recall: 0.9967, relative_absolute_error: 0.0154, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0413, root_relative_squared_error: 0.0871, scimark_benchmark: 1861.6424, usercpu_time_millis: 1.43, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 1.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.5213, kb_relative_information_score: 0.1415, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1871.3925, usercpu_time_millis: 0.978, usercpu_time_millis_testing: 0.196, usercpu_time_millis_training: 0.782,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1378, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1870.2804, usercpu_time_millis: 1.199, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6133, f_measure: 0.5213, kb_relative_information_score: 4.1326, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4707, root_relative_squared_error: 0.9917, scimark_benchmark: 1790.8194, usercpu_time_millis: 0.408, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.5213, kb_relative_information_score: 0.236, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1874.977, usercpu_time_millis: 0.978, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6901, f_measure: 0.5213, kb_relative_information_score: 16.4505, mean_absolute_error: 0.4375, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9707, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9742, scimark_benchmark: 1784.5028, usercpu_time_millis: 0.453, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.367,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8891, kappa: 0.7485, kb_relative_information_score: 220.1816, mean_absolute_error: 0.3106, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9014, predictive_accuracy: 0.8935, prior_entropy: 0.9279, recall: 0.8935, relative_absolute_error: 0.6892, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3464, root_relative_squared_error: 0.7299, scimark_benchmark: 1861.2508, usercpu_time_millis: 2.197, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 1.883,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5866, f_measure: 0.5213, kb_relative_information_score: 5.3393, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9829, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4689, root_relative_squared_error: 0.9878, scimark_benchmark: 1861.896, usercpu_time_millis: 1.464, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 1.216,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9861, f_measure: 0.9261, kappa: 0.8329, kb_relative_information_score: 232.153, mean_absolute_error: 0.3046, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9355, predictive_accuracy: 0.9285, prior_entropy: 0.9279, recall: 0.9285, relative_absolute_error: 0.6758, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3393, root_relative_squared_error: 0.7148, scimark_benchmark: 1790.8194, usercpu_time_millis: 0.246, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.19,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.5213, kb_relative_information_score: 0.2476, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9648, kappa: 0.9214, kb_relative_information_score: 369.6059, mean_absolute_error: 0.2031, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9653, predictive_accuracy: 0.9651, prior_entropy: 0.9279, recall: 0.9651, relative_absolute_error: 0.4506, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2443, root_relative_squared_error: 0.5148, scimark_benchmark: 1865.3572, usercpu_time_millis: 5.435, usercpu_time_millis_testing: 0.771, usercpu_time_millis_training: 4.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6559, f_measure: 0.5213, kb_relative_information_score: 23.1486, mean_absolute_error: 0.4323, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9592, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9718, scimark_benchmark: 1866.4162, usercpu_time_millis: 1.9, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 1.547,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5726, f_measure: 0.5213, kb_relative_information_score: 1.6317, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9904, scimark_benchmark: 1872.4881, usercpu_time_millis: 1.703, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 1.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4991, f_measure: 0.5213, kb_relative_information_score: -0.0546, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1861.5825, usercpu_time_millis: 0.437, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.339,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7878, f_measure: 0.5213, kb_relative_information_score: 24.6488, mean_absolute_error: 0.4345, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9641, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.459, root_relative_squared_error: 0.9671, scimark_benchmark: 1859.8888, usercpu_time_millis: 1.632, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 1.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.5213, kb_relative_information_score: 0.1143, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1874.977, usercpu_time_millis: 1.158, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7681, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 47.0018, mean_absolute_error: 0.4183, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9281, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9396, scimark_benchmark: 1872.4956, usercpu_time_millis: 0.639, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.541,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7179, f_measure: 0.5403, kappa: 0.0246, kb_relative_information_score: 40.9647, mean_absolute_error: 0.4212, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6405, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.9346, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9504, scimark_benchmark: 1866.5348, usercpu_time_millis: 1.468, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 1.259,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7161, f_measure: 0.5213, kb_relative_information_score: 10.9375, mean_absolute_error: 0.443, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9828, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4672, root_relative_squared_error: 0.9844, scimark_benchmark: 1864.6657, usercpu_time_millis: 1.32, usercpu_time_millis_testing: 0.255, usercpu_time_millis_training: 1.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9349, f_measure: 0.7586, kappa: 0.4549, kb_relative_information_score: 139.1847, mean_absolute_error: 0.3626, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8411, predictive_accuracy: 0.7903, prior_entropy: 0.9279, recall: 0.7903, relative_absolute_error: 0.8046, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3963, root_relative_squared_error: 0.835, scimark_benchmark: 1861.7123, usercpu_time_millis: 1.669, usercpu_time_millis_testing: 0.22, usercpu_time_millis_training: 1.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.548, f_measure: 0.5213, kb_relative_information_score: 1.1884, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9944, scimark_benchmark: 1862.6669, usercpu_time_millis: 0.436, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 433.2092, mean_absolute_error: 0.1553, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9935, predictive_accuracy: 0.9933, prior_entropy: 0.9279, recall: 0.9933, relative_absolute_error: 0.3445, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1889, root_relative_squared_error: 0.398, scimark_benchmark: 1868.7112, usercpu_time_millis: 2.656, usercpu_time_millis_testing: 0.365, usercpu_time_millis_training: 2.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6979, f_measure: 0.5596, kappa: 0.0406, kb_relative_information_score: 39.7026, mean_absolute_error: 0.4214, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6029, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9348, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.453, root_relative_squared_error: 0.9544, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.323, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.273,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7162, f_measure: 0.5213, kb_relative_information_score: 12.3013, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9817, scimark_benchmark: 1868.1179, usercpu_time_millis: 0.895, usercpu_time_millis_testing: 0.26, usercpu_time_millis_training: 0.635,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.5213, kb_relative_information_score: 0.1064, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1858.4861, usercpu_time_millis: 0.773, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 0.491,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5213, kb_relative_information_score: 0.2205, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1864.9731, usercpu_time_millis: 0.554, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5514, f_measure: 0.5213, kb_relative_information_score: -2.4672, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9978, scimark_benchmark: 1861.2508, usercpu_time_millis: 0.944, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6502, f_measure: 0.5213, kb_relative_information_score: 14.7364, mean_absolute_error: 0.439, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9741, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4649, root_relative_squared_error: 0.9794, scimark_benchmark: 1869.1029, usercpu_time_millis: 0.95, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 0.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 494.3218, mean_absolute_error: 0.1006, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9919, predictive_accuracy: 0.9917, prior_entropy: 0.9279, recall: 0.9917, relative_absolute_error: 0.2233, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1381, root_relative_squared_error: 0.2911, scimark_benchmark: 1858.5589, usercpu_time_millis: 1.165, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 1.025,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5144, f_measure: 0.5213, kb_relative_information_score: -2.4882, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9989, scimark_benchmark: 1874.5188, usercpu_time_millis: 0.503, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.5213, kb_relative_information_score: 0.352, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1870.9768, usercpu_time_millis: 0.456, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.406,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7962, f_measure: 0.6546, kappa: 0.2405, kb_relative_information_score: 71.8734, mean_absolute_error: 0.4006, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8055, predictive_accuracy: 0.7238, prior_entropy: 0.9279, recall: 0.7238, relative_absolute_error: 0.8889, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9108, scimark_benchmark: 1876.2965, usercpu_time_millis: 0.557, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 0.504,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5215, f_measure: 0.5213, kb_relative_information_score: -2.9416, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9977, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.999, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.835, usercpu_time_millis_testing: 0.145, usercpu_time_millis_training: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9417, f_measure: 0.7904, kappa: 0.5245, kb_relative_information_score: 148.4544, mean_absolute_error: 0.3567, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8548, predictive_accuracy: 0.8136, prior_entropy: 0.9279, recall: 0.8136, relative_absolute_error: 0.7914, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3906, root_relative_squared_error: 0.8229, scimark_benchmark: 1873.4078, usercpu_time_millis: 2.174, usercpu_time_millis_testing: 0.318, usercpu_time_millis_training: 1.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8914, f_measure: 0.5213, kb_relative_information_score: 65.2189, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9113, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9202, scimark_benchmark: 1872.8797, usercpu_time_millis: 2.373, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 1.959,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8368, f_measure: 0.5213, kb_relative_information_score: 48.6935, mean_absolute_error: 0.4196, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9309, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9388, scimark_benchmark: 1873.4805, usercpu_time_millis: 2.837, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 2.363,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6622, f_measure: 0.5213, kb_relative_information_score: 6.9924, mean_absolute_error: 0.4448, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9869, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.9889, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.788, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6509, f_measure: 0.5213, kb_relative_information_score: 9.0815, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9848, scimark_benchmark: 1869.6309, usercpu_time_millis: 1.191, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9915, f_measure: 0.9335, kappa: 0.8499, kb_relative_information_score: 285.7285, mean_absolute_error: 0.2663, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9394, predictive_accuracy: 0.9351, prior_entropy: 0.9279, recall: 0.9351, relative_absolute_error: 0.5908, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3045, root_relative_squared_error: 0.6415, scimark_benchmark: 1862.6573, usercpu_time_millis: 6.157, usercpu_time_millis_testing: 0.888, usercpu_time_millis_training: 5.269,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9622, f_measure: 0.5289, kappa: 0.0127, kb_relative_information_score: 92.1392, mean_absolute_error: 0.3977, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7762, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.8823, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4233, root_relative_squared_error: 0.8918, scimark_benchmark: 1868.0738, usercpu_time_millis: 1.935, usercpu_time_millis_testing: 0.358, usercpu_time_millis_training: 1.577,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9642, f_measure: 0.8804, kappa: 0.728, kb_relative_information_score: 187.9783, mean_absolute_error: 0.3317, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.902, predictive_accuracy: 0.8869, prior_entropy: 0.9279, recall: 0.8869, relative_absolute_error: 0.7359, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3659, root_relative_squared_error: 0.771, scimark_benchmark: 1876.7581, usercpu_time_millis: 2.087, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 1.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.5213, kb_relative_information_score: -1.1721, mean_absolute_error: 0.451, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0007, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1858.1812, usercpu_time_millis: 0.359, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.295,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5213, kb_relative_information_score: -0.4595, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1878.7854, usercpu_time_millis: 1.199, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 0.875,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5344, f_measure: 0.5213, kb_relative_information_score: -3.3475, mean_absolute_error: 0.4482, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9944, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9971, scimark_benchmark: 1877.2162, usercpu_time_millis: 1.161, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 0.961,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6041, f_measure: 0.5213, kb_relative_information_score: 8.8446, mean_absolute_error: 0.442, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9807, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4679, root_relative_squared_error: 0.9859, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.224, usercpu_time_millis_testing: 0.03, usercpu_time_millis_training: 0.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.99, kappa: 0.9778, kb_relative_information_score: 387.2624, mean_absolute_error: 0.1923, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.9279, recall: 0.99, relative_absolute_error: 0.4266, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2278, root_relative_squared_error: 0.4799, scimark_benchmark: 1859.9421, usercpu_time_millis: 5.857, usercpu_time_millis_testing: 0.904, usercpu_time_millis_training: 4.953,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5151, f_measure: 0.5213, kb_relative_information_score: -2.6858, mean_absolute_error: 0.4492, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9966, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0006, scimark_benchmark: 1874.5188, usercpu_time_millis: 1.712, usercpu_time_millis_testing: 0.341, usercpu_time_millis_training: 1.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.5213, kb_relative_information_score: 0.8101, mean_absolute_error: 0.4463, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9902, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4721, root_relative_squared_error: 0.9946, scimark_benchmark: 1881.5876, usercpu_time_millis: 0.911, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.768,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.512, f_measure: 0.5213, kb_relative_information_score: -3.7149, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9995, scimark_benchmark: 1865.8853, usercpu_time_millis: 1.24, usercpu_time_millis_testing: 0.312, usercpu_time_millis_training: 0.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7521, f_measure: 0.5213, kb_relative_information_score: 20.2331, mean_absolute_error: 0.4366, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9688, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9718, scimark_benchmark: 1877.289, usercpu_time_millis: 0.74, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.193, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.896, usercpu_time_millis_testing: 0.168, usercpu_time_millis_training: 0.728,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9604, f_measure: 0.8687, kappa: 0.701, kb_relative_information_score: 189.1768, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8963, predictive_accuracy: 0.8769, prior_entropy: 0.9279, recall: 0.8769, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7739, scimark_benchmark: 1869.1029, usercpu_time_millis: 3.954, usercpu_time_millis_testing: 0.625, usercpu_time_millis_training: 3.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8103, f_measure: 0.6693, kappa: 0.2539, kb_relative_information_score: 85.5283, mean_absolute_error: 0.3912, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7148, predictive_accuracy: 0.7138, prior_entropy: 0.9279, recall: 0.7138, relative_absolute_error: 0.8679, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8935, scimark_benchmark: 1873.019, usercpu_time_millis: 0.335, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8713, f_measure: 0.6882, kappa: 0.3059, kb_relative_information_score: 95.9795, mean_absolute_error: 0.3873, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8034, predictive_accuracy: 0.7421, prior_entropy: 0.9279, recall: 0.7421, relative_absolute_error: 0.8594, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.418, root_relative_squared_error: 0.8807, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.465, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 0.39,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4957, f_measure: 0.5213, kb_relative_information_score: 0.1514, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1876.6882, usercpu_time_millis: 1.392, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 1.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9314, f_measure: 0.786, kappa: 0.5148, kb_relative_information_score: 138.9555, mean_absolute_error: 0.3621, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8528, predictive_accuracy: 0.8103, prior_entropy: 0.9279, recall: 0.8103, relative_absolute_error: 0.8034, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3953, root_relative_squared_error: 0.8328, scimark_benchmark: 1864.2071, usercpu_time_millis: 5.039, usercpu_time_millis_testing: 0.887, usercpu_time_millis_training: 4.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5395, f_measure: 0.5213, kb_relative_information_score: -2.9784, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9978, scimark_benchmark: 1872.9496, usercpu_time_millis: 0.853, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 0.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8565, f_measure: 0.7094, kappa: 0.3507, kb_relative_information_score: 103.7108, mean_absolute_error: 0.3817, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8226, predictive_accuracy: 0.7571, prior_entropy: 0.9279, recall: 0.7571, relative_absolute_error: 0.847, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4155, root_relative_squared_error: 0.8754, scimark_benchmark: 1878.7854, usercpu_time_millis: 0.928, usercpu_time_millis_testing: 0.246, usercpu_time_millis_training: 0.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5137, f_measure: 0.5213, kb_relative_information_score: -3.2866, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9974, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9988, scimark_benchmark: 1865.4271, usercpu_time_millis: 0.307, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.963, f_measure: 0.5289, kappa: 0.0127, kb_relative_information_score: 90.9102, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7762, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.883, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4239, root_relative_squared_error: 0.8932, scimark_benchmark: 1872.4216, usercpu_time_millis: 3.118, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 2.557,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.985, kappa: 0.9666, kb_relative_information_score: 400.1963, mean_absolute_error: 0.1819, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 0.9279, recall: 0.985, relative_absolute_error: 0.4035, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2178, root_relative_squared_error: 0.4588, scimark_benchmark: 1870.4545, usercpu_time_millis: 6.676, usercpu_time_millis_testing: 0.988, usercpu_time_millis_training: 5.688,

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