Task
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: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.0574, 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: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1850.6054, usercpu_time_millis: 1.148, usercpu_time_millis_testing: 0.204, usercpu_time_millis_training: 0.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.9926, kb_relative_information_score: 406.98, mean_absolute_error: 0.1769, 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: 0.3925, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2127, root_relative_squared_error: 0.4481, scimark_benchmark: 1816.0214, usercpu_time_millis: 3.644, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 3.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7428, f_measure: 0.6127, kappa: 0.1543, kb_relative_information_score: 60.7293, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7421, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.9026, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9303, scimark_benchmark: 1847.3472, usercpu_time_millis: 1.208, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9597, f_measure: 0.859, kappa: 0.6792, kb_relative_information_score: 184.4872, mean_absolute_error: 0.3338, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8801, predictive_accuracy: 0.8669, prior_entropy: 0.9279, recall: 0.8669, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.776, scimark_benchmark: 1731.6557, usercpu_time_millis: 4.543, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 3.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7866, f_measure: 0.5213, kb_relative_information_score: 29.4172, mean_absolute_error: 0.4312, 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: 0.9567, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9611, scimark_benchmark: 1731.7648, usercpu_time_millis: 2.61, usercpu_time_millis_testing: 0.398, usercpu_time_millis_training: 2.212,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.8836, kappa: 0.7357, kb_relative_information_score: 216.9349, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8973, predictive_accuracy: 0.8885, prior_entropy: 0.9279, recall: 0.8885, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3502, root_relative_squared_error: 0.7379, scimark_benchmark: 2156.9808, usercpu_time_millis: 2.921, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 2.602,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1426, 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: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1704.9887, usercpu_time_millis: 1.398, usercpu_time_millis_testing: 0.606, usercpu_time_millis_training: 0.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7405, f_measure: 0.5213, kb_relative_information_score: 30.5692, mean_absolute_error: 0.4283, 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: 0.9504, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9578, scimark_benchmark: 1865.5486, usercpu_time_millis: 1.074, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8102, f_measure: 0.6356, kappa: 0.2028, kb_relative_information_score: 76.912, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7905, predictive_accuracy: 0.7121, prior_entropy: 0.9279, recall: 0.7121, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4305, root_relative_squared_error: 0.9069, scimark_benchmark: 1862.5409, usercpu_time_millis: 2.143, usercpu_time_millis_testing: 0.265, usercpu_time_millis_training: 1.878,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9845, f_measure: 0.9026, kappa: 0.7788, kb_relative_information_score: 223.3967, mean_absolute_error: 0.3109, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9184, predictive_accuracy: 0.9068, prior_entropy: 0.9279, recall: 0.9068, relative_absolute_error: 0.6897, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3455, root_relative_squared_error: 0.728, scimark_benchmark: 1790.6313, usercpu_time_millis: 1.155, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5196, f_measure: 0.5213, kb_relative_information_score: -2.6075, 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: 0.996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9982, scimark_benchmark: 1772.2825, usercpu_time_millis: 0.667, usercpu_time_millis_testing: 0.095, usercpu_time_millis_training: 0.572,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4979, f_measure: 0.5213, kb_relative_information_score: -0.3468, mean_absolute_error: 0.4507, 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: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1750.1255, usercpu_time_millis: 0.509, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9255, f_measure: 0.8423, kappa: 0.6408, kb_relative_information_score: 170.1746, mean_absolute_error: 0.3407, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8746, predictive_accuracy: 0.8536, prior_entropy: 0.9279, recall: 0.8536, relative_absolute_error: 0.7559, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3795, root_relative_squared_error: 0.7996, scimark_benchmark: 1746.226, usercpu_time_millis: 3.725, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 3.296,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9094, f_measure: 0.8284, kappa: 0.6092, kb_relative_information_score: 166.6943, mean_absolute_error: 0.3416, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8565, predictive_accuracy: 0.8403, prior_entropy: 0.9279, recall: 0.8403, relative_absolute_error: 0.758, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.8065, scimark_benchmark: 1840.8164, usercpu_time_millis: 2.622, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 2.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8802, kappa: 0.7273, kb_relative_information_score: 202.7083, mean_absolute_error: 0.3222, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9035, predictive_accuracy: 0.8869, prior_entropy: 0.9279, recall: 0.8869, relative_absolute_error: 0.715, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.757, scimark_benchmark: 1859.2842, usercpu_time_millis: 5.016, usercpu_time_millis_testing: 0.505, usercpu_time_millis_training: 4.511,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.664, f_measure: 0.5213, kb_relative_information_score: 16.2392, mean_absolute_error: 0.4381, 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: 0.972, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4639, root_relative_squared_error: 0.9774, scimark_benchmark: 1847.4649, usercpu_time_millis: 0.505, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 0.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4928, f_measure: 0.5213, kb_relative_information_score: 0.0689, 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: 1730.464, usercpu_time_millis: 0.301, usercpu_time_millis_testing: 0.08, usercpu_time_millis_training: 0.221,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.6909, kappa: 0.3113, kb_relative_information_score: 95.4229, mean_absolute_error: 0.3856, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8045, predictive_accuracy: 0.7438, prior_entropy: 0.9279, recall: 0.7438, relative_absolute_error: 0.8556, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4201, root_relative_squared_error: 0.8851, scimark_benchmark: 1861.5647, usercpu_time_millis: 2.025, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 1.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5213, kb_relative_information_score: -0.192, mean_absolute_error: 0.4507, 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: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1833.9028, usercpu_time_millis: 0.243, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 0.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 430.0552, mean_absolute_error: 0.1564, 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: 0.347, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1949, root_relative_squared_error: 0.4107, scimark_benchmark: 1742.8588, usercpu_time_millis: 7.196, usercpu_time_millis_testing: 0.712, usercpu_time_millis_training: 6.484,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 540.8149, mean_absolute_error: 0.0597, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1324, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0864, root_relative_squared_error: 0.1821, scimark_benchmark: 1785.7458, usercpu_time_millis: 6.814, usercpu_time_millis_testing: 0.749, usercpu_time_millis_training: 6.065,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6859, f_measure: 0.5314, kappa: -0.0013, kb_relative_information_score: 33.6605, mean_absolute_error: 0.4255, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5461, predictive_accuracy: 0.6489, prior_entropy: 0.9279, recall: 0.6489, relative_absolute_error: 0.9441, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9614, scimark_benchmark: 1770.5999, usercpu_time_millis: 1.652, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 1.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7263, f_measure: 0.5213, kb_relative_information_score: 34.0161, mean_absolute_error: 0.4264, 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: 0.946, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4535, root_relative_squared_error: 0.9554, scimark_benchmark: 1768.8384, usercpu_time_millis: 1.731, usercpu_time_millis_testing: 0.25, usercpu_time_millis_training: 1.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9935, f_measure: 0.9387, kappa: 0.8619, kb_relative_information_score: 302.6077, mean_absolute_error: 0.2543, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9437, predictive_accuracy: 0.9401, prior_entropy: 0.9279, recall: 0.9401, relative_absolute_error: 0.5643, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.293, root_relative_squared_error: 0.6174, scimark_benchmark: 1805.1823, usercpu_time_millis: 1.513, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.787, f_measure: 0.5758, kappa: 0.0936, kb_relative_information_score: 59.1507, mean_absolute_error: 0.4105, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7858, predictive_accuracy: 0.6822, prior_entropy: 0.9279, recall: 0.6822, relative_absolute_error: 0.9108, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.44, root_relative_squared_error: 0.927, scimark_benchmark: 1741.1459, usercpu_time_millis: 2.096, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 1.817,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9663, f_measure: 0.8596, kappa: 0.6808, kb_relative_information_score: 198.8146, mean_absolute_error: 0.3243, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8776, predictive_accuracy: 0.8669, prior_entropy: 0.9279, recall: 0.8669, relative_absolute_error: 0.7196, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3593, root_relative_squared_error: 0.757, scimark_benchmark: 1748.8338, usercpu_time_millis: 4.843, usercpu_time_millis_testing: 0.511, usercpu_time_millis_training: 4.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8763, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 64.0621, mean_absolute_error: 0.4109, 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: 0.9116, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9215, scimark_benchmark: 1798.9745, usercpu_time_millis: 3.092, usercpu_time_millis_testing: 0.418, usercpu_time_millis_training: 2.674,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9217, f_measure: 0.7257, kappa: 0.3843, kb_relative_information_score: 127.1151, mean_absolute_error: 0.3697, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8236, predictive_accuracy: 0.7671, prior_entropy: 0.9279, recall: 0.7671, relative_absolute_error: 0.8202, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4024, root_relative_squared_error: 0.8477, scimark_benchmark: 1840.8345, usercpu_time_millis: 3.907, usercpu_time_millis_testing: 0.522, usercpu_time_millis_training: 3.385,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.5213, kb_relative_information_score: -0.1229, mean_absolute_error: 0.4507, 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: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1813.9262, usercpu_time_millis: 0.333, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6489, f_measure: 0.5213, kb_relative_information_score: 15.5715, mean_absolute_error: 0.4373, 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: 0.9703, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9771, scimark_benchmark: 1846.9511, usercpu_time_millis: 2.327, usercpu_time_millis_testing: 0.315, usercpu_time_millis_training: 2.012,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.5213, kb_relative_information_score: -0.2798, mean_absolute_error: 0.4472, 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: 0.9921, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9953, scimark_benchmark: 1811.9963, usercpu_time_millis: 1.581, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9925, f_measure: 0.9263, kappa: 0.8333, kb_relative_information_score: 275.6582, mean_absolute_error: 0.2739, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9346, predictive_accuracy: 0.9285, prior_entropy: 0.9279, recall: 0.9285, relative_absolute_error: 0.6078, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3123, root_relative_squared_error: 0.6579, scimark_benchmark: 1752.8998, usercpu_time_millis: 5.114, usercpu_time_millis_testing: 0.587, usercpu_time_millis_training: 4.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9952, f_measure: 0.9578, kappa: 0.9054, kb_relative_information_score: 303.329, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.96, predictive_accuracy: 0.9584, prior_entropy: 0.9279, recall: 0.9584, relative_absolute_error: 0.5635, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2924, root_relative_squared_error: 0.6161, scimark_benchmark: 1837.424, usercpu_time_millis: 5.23, usercpu_time_millis_testing: 0.604, usercpu_time_millis_training: 4.626,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4669, f_measure: 0.5213, kb_relative_information_score: -7.7325, mean_absolute_error: 0.4511, 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: 1.0009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0038, scimark_benchmark: 1846.4972, usercpu_time_millis: 1.27, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6989, f_measure: 0.5243, kappa: 0.003, kb_relative_information_score: 26.1942, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6037, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9528, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9591, scimark_benchmark: 1835.7111, usercpu_time_millis: 1.063, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5213, kb_relative_information_score: 0.1767, 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: 1814.5129, usercpu_time_millis: 0.602, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.492,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9395, f_measure: 0.777, kappa: 0.495, kb_relative_information_score: 145.6328, mean_absolute_error: 0.3584, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8488, predictive_accuracy: 0.8037, prior_entropy: 0.9279, recall: 0.8037, relative_absolute_error: 0.7953, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.392, root_relative_squared_error: 0.8259, scimark_benchmark: 1823.0664, usercpu_time_millis: 4.322, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 3.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5289, f_measure: 0.5213, kb_relative_information_score: -4.8493, mean_absolute_error: 0.4493, 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: 0.9968, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.999, scimark_benchmark: 1849.408, usercpu_time_millis: 1.091, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.5213, kb_relative_information_score: -0.4002, 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: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1856.2273, usercpu_time_millis: 1.055, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 0.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.99, kappa: 0.9779, kb_relative_information_score: 408.9753, mean_absolute_error: 0.1745, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9901, predictive_accuracy: 0.99, prior_entropy: 0.9279, recall: 0.99, relative_absolute_error: 0.3872, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.211, root_relative_squared_error: 0.4446, scimark_benchmark: 1802.9435, usercpu_time_millis: 5.202, usercpu_time_millis_testing: 0.517, usercpu_time_millis_training: 4.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9745, f_measure: 0.8852, kappa: 0.7393, kb_relative_information_score: 224.4111, mean_absolute_error: 0.3066, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8997, predictive_accuracy: 0.8902, prior_entropy: 0.9279, recall: 0.8902, relative_absolute_error: 0.6803, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3452, root_relative_squared_error: 0.7274, scimark_benchmark: 1756.8885, usercpu_time_millis: 3.439, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 3.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.983, f_measure: 0.921, kappa: 0.8214, kb_relative_information_score: 242.3476, mean_absolute_error: 0.2962, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9296, predictive_accuracy: 0.9235, prior_entropy: 0.9279, recall: 0.9235, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3324, root_relative_squared_error: 0.7004, scimark_benchmark: 1959.8341, usercpu_time_millis: 4.713, usercpu_time_millis_testing: 0.527, usercpu_time_millis_training: 4.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6957, f_measure: 0.5213, kb_relative_information_score: 21.5628, mean_absolute_error: 0.434, 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: 0.9629, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9691, scimark_benchmark: 1808.3216, usercpu_time_millis: 1.643, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1.276,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.5619, kappa: 0.069, kb_relative_information_score: 58.2231, mean_absolute_error: 0.4096, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7828, predictive_accuracy: 0.6755, prior_entropy: 0.9279, recall: 0.6755, relative_absolute_error: 0.9088, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4392, root_relative_squared_error: 0.9253, scimark_benchmark: 1751.8433, usercpu_time_millis: 2.448, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 2.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.5916, kappa: 0.0865, kb_relative_information_score: 37.2138, mean_absolute_error: 0.4206, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6152, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9333, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9627, scimark_benchmark: 1851.5125, usercpu_time_millis: 1.634, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 1.415,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5213, kb_relative_information_score: -4.4198, mean_absolute_error: 0.4485, 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: 0.9951, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9974, scimark_benchmark: 1808.8673, usercpu_time_millis: 0.562, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.456,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.5243, kappa: 0.003, kb_relative_information_score: 40.8342, mean_absolute_error: 0.4209, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6037, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9339, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4482, root_relative_squared_error: 0.9442, scimark_benchmark: 1957.345, usercpu_time_millis: 2.291, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7397, f_measure: 0.5213, kb_relative_information_score: 27.9031, mean_absolute_error: 0.4306, 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: 0.9554, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.456, root_relative_squared_error: 0.9608, scimark_benchmark: 1802.3361, usercpu_time_millis: 1.826, usercpu_time_millis_testing: 0.283, usercpu_time_millis_training: 1.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7905, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 51.4851, mean_absolute_error: 0.4161, 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: 0.9232, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9346, scimark_benchmark: 1820.6935, usercpu_time_millis: 2.275, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 1.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5323, f_measure: 0.5213, kb_relative_information_score: -4.3448, mean_absolute_error: 0.4485, 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: 0.9951, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9985, scimark_benchmark: 1788.3083, usercpu_time_millis: 0.632, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 0.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7689, f_measure: 0.5213, kb_relative_information_score: 22.5867, mean_absolute_error: 0.4354, 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: 0.9659, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.9689, scimark_benchmark: 1847.3472, usercpu_time_millis: 2.046, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 1.682,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9921, f_measure: 0.9459, kappa: 0.8784, kb_relative_information_score: 281.7352, mean_absolute_error: 0.27, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9485, predictive_accuracy: 0.9468, prior_entropy: 0.9279, recall: 0.9468, relative_absolute_error: 0.599, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3054, root_relative_squared_error: 0.6435, scimark_benchmark: 1749.2423, usercpu_time_millis: 1.562, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.381,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6723, f_measure: 0.5213, kb_relative_information_score: 20.1384, mean_absolute_error: 0.4348, 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: 0.9647, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4615, root_relative_squared_error: 0.9723, scimark_benchmark: 1825.4665, usercpu_time_millis: 0.852, usercpu_time_millis_testing: 0.12, usercpu_time_millis_training: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6951, f_measure: 0.5213, kb_relative_information_score: 19.2162, 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: 0.462, root_relative_squared_error: 0.9734, scimark_benchmark: 1842.4855, usercpu_time_millis: 1.243, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 1.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4959, f_measure: 0.5213, kb_relative_information_score: 0.7785, mean_absolute_error: 0.4499, 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: 0.9981, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002, scimark_benchmark: 1834.5169, usercpu_time_millis: 0.081, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.058,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9891, f_measure: 0.9425, kappa: 0.8708, kb_relative_information_score: 313.6965, mean_absolute_error: 0.2431, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9451, predictive_accuracy: 0.9434, prior_entropy: 0.9279, recall: 0.9434, relative_absolute_error: 0.5394, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2872, root_relative_squared_error: 0.6051, scimark_benchmark: 1736.0337, usercpu_time_millis: 0.362, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.329,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.5213, kb_relative_information_score: -0.0162, 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: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1817.7904, usercpu_time_millis: 1.058, usercpu_time_millis_testing: 0.185, usercpu_time_millis_training: 0.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5213, kb_relative_information_score: -2.8604, mean_absolute_error: 0.4481, 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: 0.9941, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9979, scimark_benchmark: 1782.793, usercpu_time_millis: 1.55, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 1.324,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5265, f_measure: 0.5213, kb_relative_information_score: -2.7382, mean_absolute_error: 0.4484, 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: 0.9949, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9975, scimark_benchmark: 1884.8213, usercpu_time_millis: 0.634, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.5849, kappa: 0.1084, kb_relative_information_score: 58.9345, mean_absolute_error: 0.409, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7697, predictive_accuracy: 0.6855, prior_entropy: 0.9279, recall: 0.6855, relative_absolute_error: 0.9074, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9214, scimark_benchmark: 1839.377, usercpu_time_millis: 0.634, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.548,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5285, f_measure: 0.5213, kb_relative_information_score: -4.9155, 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: 0.996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9993, scimark_benchmark: 1828.8092, usercpu_time_millis: 1.241, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4942, f_measure: 0.5213, kb_relative_information_score: 0.073, 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: 1777.2307, usercpu_time_millis: 0.917, usercpu_time_millis_testing: 0.202, usercpu_time_millis_training: 0.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7892, f_measure: 0.5689, kappa: 0.0813, kb_relative_information_score: 59.7279, mean_absolute_error: 0.4086, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7843, predictive_accuracy: 0.6789, prior_entropy: 0.9279, recall: 0.6789, relative_absolute_error: 0.9065, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.9211, scimark_benchmark: 1753.5232, usercpu_time_millis: 3.315, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 2.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.541, f_measure: 0.5213, kb_relative_information_score: -2.6299, mean_absolute_error: 0.45, 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: 0.9984, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9988, scimark_benchmark: 1772.3676, usercpu_time_millis: 0.549, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.5213, kb_relative_information_score: -2.0275, 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: 0.4735, root_relative_squared_error: 0.9977, scimark_benchmark: 1844.1441, usercpu_time_millis: 0.912, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 0.641,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9715, kappa: 0.9364, kb_relative_information_score: 331.3316, mean_absolute_error: 0.2337, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9721, predictive_accuracy: 0.9717, prior_entropy: 0.9279, recall: 0.9717, relative_absolute_error: 0.5186, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2719, root_relative_squared_error: 0.5729, scimark_benchmark: 1824.6021, usercpu_time_millis: 1.591, usercpu_time_millis_testing: 0.167, usercpu_time_millis_training: 1.424,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5616, f_measure: 0.5213, kb_relative_information_score: 2.1731, mean_absolute_error: 0.4462, 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: 0.99, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9933, scimark_benchmark: 1835.6828, usercpu_time_millis: 1.343, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 1.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.925, kappa: 0.8308, kb_relative_information_score: 278.3151, mean_absolute_error: 0.2711, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9303, predictive_accuracy: 0.9268, prior_entropy: 0.9279, recall: 0.9268, relative_absolute_error: 0.6014, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3095, root_relative_squared_error: 0.6521, scimark_benchmark: 1796.3229, usercpu_time_millis: 4.193, usercpu_time_millis_testing: 0.45, usercpu_time_millis_training: 3.743,

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