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Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261557 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9873, f_measure: 0.8858, kappa: 0.7404, kb_relative_information_score: 214.5056, mean_absolute_error: 0.3173, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9071, predictive_accuracy: 0.8918, prior_entropy: 0.9279, recall: 0.8918, relative_absolute_error: 0.704, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3522, root_relative_squared_error: 0.742, scimark_benchmark: 757.1779, usercpu_time_millis: 4.451, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 3.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9786, f_measure: 0.853, kappa: 0.6653, kb_relative_information_score: 199.5213, mean_absolute_error: 0.3259, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.887, predictive_accuracy: 0.8636, prior_entropy: 0.9279, recall: 0.8636, relative_absolute_error: 0.723, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.361, root_relative_squared_error: 0.7605, scimark_benchmark: 1768.0204, usercpu_time_millis: 3.989, usercpu_time_millis_testing: 0.455, usercpu_time_millis_training: 3.534,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5439, f_measure: 0.5213, kb_relative_information_score: -0.6518, mean_absolute_error: 0.4494, 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: 0.9971, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9979, scimark_benchmark: 759.6946, usercpu_time_millis: 2.036, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 1.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9525, kappa: 0.8931, kb_relative_information_score: 282.0652, mean_absolute_error: 0.274, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9565, predictive_accuracy: 0.9534, prior_entropy: 0.9279, recall: 0.9534, relative_absolute_error: 0.6079, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3066, root_relative_squared_error: 0.646, scimark_benchmark: 1799.1595, usercpu_time_millis: 5.403, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 4.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9974, f_measure: 0.9525, kappa: 0.8931, kb_relative_information_score: 275.4422, mean_absolute_error: 0.2778, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9565, predictive_accuracy: 0.9534, prior_entropy: 0.9279, recall: 0.9534, relative_absolute_error: 0.6164, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3106, root_relative_squared_error: 0.6545, scimark_benchmark: 1777.5046, usercpu_time_millis: 3.522, usercpu_time_millis_testing: 0.436, usercpu_time_millis_training: 3.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4889, f_measure: 0.5213, kb_relative_information_score: -7.2969, 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: 0.4762, root_relative_squared_error: 1.0032, scimark_benchmark: 758.5311, usercpu_time_millis: 0.348, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.261,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9982, f_measure: 0.97, kappa: 0.9334, kb_relative_information_score: 398.1792, mean_absolute_error: 0.1812, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.97, predictive_accuracy: 0.9701, prior_entropy: 0.9279, recall: 0.9701, relative_absolute_error: 0.402, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2227, root_relative_squared_error: 0.4691, scimark_benchmark: 1796.3107, usercpu_time_millis: 3.964, usercpu_time_millis_testing: 0.385, usercpu_time_millis_training: 3.579,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1855, 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: 1766.291, usercpu_time_millis: 1.117, usercpu_time_millis_testing: 0.228, usercpu_time_millis_training: 0.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5357, f_measure: 0.5213, kb_relative_information_score: -1.6671, mean_absolute_error: 0.4494, 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: 0.9971, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9982, scimark_benchmark: 1787.6232, usercpu_time_millis: 1.142, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8398, f_measure: 0.5927, kappa: 0.1238, kb_relative_information_score: 76.7175, mean_absolute_error: 0.4001, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7896, predictive_accuracy: 0.6905, prior_entropy: 0.9279, recall: 0.6905, relative_absolute_error: 0.8876, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.43, root_relative_squared_error: 0.906, scimark_benchmark: 1793.5167, usercpu_time_millis: 0.139, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.098,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.995, kappa: 0.989, kb_relative_information_score: 459.1933, mean_absolute_error: 0.1326, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9951, predictive_accuracy: 0.995, prior_entropy: 0.9279, recall: 0.995, relative_absolute_error: 0.2941, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1674, root_relative_squared_error: 0.3526, scimark_benchmark: 1739.5378, usercpu_time_millis: 2.689, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 2.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8264, f_measure: 0.7052, kappa: 0.3402, kb_relative_information_score: 93.9667, mean_absolute_error: 0.3865, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8053, predictive_accuracy: 0.7521, prior_entropy: 0.9279, recall: 0.7521, relative_absolute_error: 0.8576, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8864, scimark_benchmark: 1791.5245, usercpu_time_millis: 0.119, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5077, f_measure: 0.5213, kb_relative_information_score: -3.8994, mean_absolute_error: 0.4496, 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: 0.9975, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9992, scimark_benchmark: 1735.8362, usercpu_time_millis: 1.268, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9751, kappa: 0.9448, kb_relative_information_score: 461.233, mean_absolute_error: 0.1276, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9752, predictive_accuracy: 0.975, prior_entropy: 0.9279, recall: 0.975, relative_absolute_error: 0.2831, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1734, root_relative_squared_error: 0.3654, scimark_benchmark: 1748.0598, usercpu_time_millis: 0.751, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.679,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5264, f_measure: 0.5213, kb_relative_information_score: -1.0097, 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: 0.9965, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9981, scimark_benchmark: 1790.561, usercpu_time_millis: 0.915, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9713, f_measure: 0.8641, kappa: 0.6909, kb_relative_information_score: 200.9559, mean_absolute_error: 0.3232, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8866, predictive_accuracy: 0.8719, prior_entropy: 0.9279, recall: 0.8719, relative_absolute_error: 0.717, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3598, root_relative_squared_error: 0.758, scimark_benchmark: 1724.7261, usercpu_time_millis: 2.226, usercpu_time_millis_testing: 0.262, usercpu_time_millis_training: 1.964,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9446, f_measure: 0.8628, kappa: 0.688, kb_relative_information_score: 188.104, mean_absolute_error: 0.3299, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8827, predictive_accuracy: 0.8702, prior_entropy: 0.9279, recall: 0.8702, relative_absolute_error: 0.7319, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.7749, scimark_benchmark: 1770.5087, usercpu_time_millis: 2.214, usercpu_time_millis_testing: 0.205, usercpu_time_millis_training: 2.009,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 493.191, mean_absolute_error: 0.103, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.2285, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1361, root_relative_squared_error: 0.2867, scimark_benchmark: 1728.3663, usercpu_time_millis: 8.132, usercpu_time_millis_testing: 0.883, usercpu_time_millis_training: 7.249,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8661, kappa: 0.6953, kb_relative_information_score: 212.4116, mean_absolute_error: 0.3155, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8879, predictive_accuracy: 0.8735, prior_entropy: 0.9279, recall: 0.8735, relative_absolute_error: 0.7, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3527, root_relative_squared_error: 0.7432, scimark_benchmark: 1745.2553, usercpu_time_millis: 3.957, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 3.543,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.765, f_measure: 0.5213, kb_relative_information_score: 27.4515, mean_absolute_error: 0.4319, 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: 0.9582, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4569, root_relative_squared_error: 0.9627, scimark_benchmark: 1028.1186, usercpu_time_millis: 3.129, usercpu_time_millis_testing: 0.457, usercpu_time_millis_training: 2.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.704, f_measure: 0.5213, kb_relative_information_score: 19.5615, mean_absolute_error: 0.4359, 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: 0.9671, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9722, scimark_benchmark: 1744.0554, usercpu_time_millis: 0.468, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5297, f_measure: 0.5213, kb_relative_information_score: -1.6572, mean_absolute_error: 0.4494, 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: 0.9972, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9983, scimark_benchmark: 1117.883, usercpu_time_millis: 0.703, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 0.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7118, f_measure: 0.5322, kappa: 0.0088, kb_relative_information_score: 38.4587, mean_absolute_error: 0.4231, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5853, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9386, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4528, root_relative_squared_error: 0.9539, scimark_benchmark: 1742.2108, usercpu_time_millis: 2.56, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 2.193,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7463, f_measure: 0.6146, kappa: 0.1567, kb_relative_information_score: 60.8059, mean_absolute_error: 0.4073, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7357, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.9038, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4417, root_relative_squared_error: 0.9305, scimark_benchmark: 1725.1609, usercpu_time_millis: 2.612, usercpu_time_millis_testing: 0.342, usercpu_time_millis_training: 2.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, f_measure: 0.5213, kb_relative_information_score: -5.396, mean_absolute_error: 0.4498, 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: 0.9979, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0005, scimark_benchmark: 1746.8615, usercpu_time_millis: 1.585, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 1.351,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.5213, kb_relative_information_score: -0.2245, 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: 1, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1025.1623, usercpu_time_millis: 0.736, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8135, f_measure: 0.6428, kappa: 0.2177, kb_relative_information_score: 81.0599, mean_absolute_error: 0.3954, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8022, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.8772, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4287, root_relative_squared_error: 0.9032, scimark_benchmark: 1733.6322, usercpu_time_millis: 1.758, usercpu_time_millis_testing: 0.208, usercpu_time_millis_training: 1.55,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9995, f_measure: 0.9867, kappa: 0.9704, kb_relative_information_score: 406.795, mean_absolute_error: 0.176, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9867, predictive_accuracy: 0.9867, prior_entropy: 0.9279, recall: 0.9867, relative_absolute_error: 0.3906, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.213, root_relative_squared_error: 0.4487, scimark_benchmark: 1759.0331, usercpu_time_millis: 3.757, usercpu_time_millis_testing: 0.399, usercpu_time_millis_training: 3.358,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.579, f_measure: 0.5213, kb_relative_information_score: 2.3044, 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: 0.9899, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.471, root_relative_squared_error: 0.9923, scimark_benchmark: 1039.6847, usercpu_time_millis: 0.675, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5999, f_measure: 0.5213, kb_relative_information_score: 5.1812, mean_absolute_error: 0.4451, 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: 0.9875, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.47, root_relative_squared_error: 0.9903, scimark_benchmark: 2166.8354, usercpu_time_millis: 1.412, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7612, f_measure: 0.5365, kappa: 0.0254, kb_relative_information_score: 46.632, mean_absolute_error: 0.4172, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7776, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.9256, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4452, root_relative_squared_error: 0.938, scimark_benchmark: 1735.6896, usercpu_time_millis: 0.417, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.5213, kb_relative_information_score: 0.2509, 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: 2169.0976, usercpu_time_millis: 1.048, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5525, f_measure: 0.5213, kb_relative_information_score: 1.9366, mean_absolute_error: 0.4461, 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: 0.9897, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9939, scimark_benchmark: 1731.0204, usercpu_time_millis: 1.21, usercpu_time_millis_testing: 0.169, usercpu_time_millis_training: 1.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5348, f_measure: 0.5213, kb_relative_information_score: 0.0663, 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: 0.9923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.473, root_relative_squared_error: 0.9966, scimark_benchmark: 1772.549, usercpu_time_millis: 1.032, usercpu_time_millis_testing: 0.139, usercpu_time_millis_training: 0.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8961, f_measure: 0.7541, kappa: 0.4442, kb_relative_information_score: 128.0226, mean_absolute_error: 0.367, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8277, predictive_accuracy: 0.7854, prior_entropy: 0.9279, recall: 0.7854, relative_absolute_error: 0.8143, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4016, root_relative_squared_error: 0.8461, scimark_benchmark: 1724.9321, usercpu_time_millis: 0.83, usercpu_time_millis_testing: 0.106, usercpu_time_millis_training: 0.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.9926, kb_relative_information_score: 497.8233, mean_absolute_error: 0.098, 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: 0.2174, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1342, root_relative_squared_error: 0.2827, scimark_benchmark: 1841.2148, usercpu_time_millis: 8.54, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 7.761,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9698, kappa: 0.9324, kb_relative_information_score: 352.1583, mean_absolute_error: 0.2182, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9707, predictive_accuracy: 0.9701, prior_entropy: 0.9279, recall: 0.9701, relative_absolute_error: 0.4841, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2573, root_relative_squared_error: 0.5422, scimark_benchmark: 1735.7783, usercpu_time_millis: 8.703, usercpu_time_millis_testing: 1.031, usercpu_time_millis_training: 7.672,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8824, kappa: 0.7334, kb_relative_information_score: 207.0475, mean_absolute_error: 0.3174, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8931, predictive_accuracy: 0.8869, prior_entropy: 0.9279, recall: 0.8869, relative_absolute_error: 0.7042, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3559, root_relative_squared_error: 0.7498, scimark_benchmark: 1744.7906, usercpu_time_millis: 0.78, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 0.567,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8525, f_measure: 0.6648, kappa: 0.2596, kb_relative_information_score: 86.5887, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8009, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4224, root_relative_squared_error: 0.89, scimark_benchmark: 1745.7661, usercpu_time_millis: 1.457, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 1.263,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7455, f_measure: 0.5475, kappa: 0.0442, kb_relative_information_score: 47.8896, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7798, predictive_accuracy: 0.6689, prior_entropy: 0.9279, recall: 0.6689, relative_absolute_error: 0.9204, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9339, scimark_benchmark: 1737.9959, usercpu_time_millis: 1.474, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.5213, kb_relative_information_score: 33.8733, mean_absolute_error: 0.4266, 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: 0.9466, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9546, scimark_benchmark: 1741.2968, usercpu_time_millis: 1.776, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7297, f_measure: 0.5213, kb_relative_information_score: 22.7488, mean_absolute_error: 0.4346, 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: 0.9642, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9687, scimark_benchmark: 1733.5816, usercpu_time_millis: 2.228, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.5213, kb_relative_information_score: 38.5185, mean_absolute_error: 0.4234, 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: 0.9394, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9483, scimark_benchmark: 1747.6591, usercpu_time_millis: 0.493, usercpu_time_millis_testing: 0.176, usercpu_time_millis_training: 0.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6894, f_measure: 0.5213, kb_relative_information_score: 22.5483, mean_absolute_error: 0.4325, 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: 0.9595, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9665, scimark_benchmark: 1742.9568, usercpu_time_millis: 0.621, usercpu_time_millis_testing: 0.09, usercpu_time_millis_training: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6612, f_measure: 0.5213, kb_relative_information_score: 17.6068, mean_absolute_error: 0.436, 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: 0.9673, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4624, root_relative_squared_error: 0.9742, scimark_benchmark: 1740.395, usercpu_time_millis: 2.172, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9594, kappa: 0.9088, kb_relative_information_score: 289.5874, mean_absolute_error: 0.269, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9624, predictive_accuracy: 0.9601, prior_entropy: 0.9279, recall: 0.9601, relative_absolute_error: 0.5969, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.301, root_relative_squared_error: 0.6341, scimark_benchmark: 1759.3603, usercpu_time_millis: 4.383, usercpu_time_millis_testing: 0.518, usercpu_time_millis_training: 3.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6029, f_measure: 0.5213, kb_relative_information_score: 7.2331, mean_absolute_error: 0.4439, 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: 0.9849, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4692, root_relative_squared_error: 0.9885, scimark_benchmark: 1742.1034, usercpu_time_millis: 2.284, usercpu_time_millis_testing: 0.372, usercpu_time_millis_training: 1.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9749, kappa: 0.9442, kb_relative_information_score: 351.4464, mean_absolute_error: 0.2183, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9751, predictive_accuracy: 0.975, prior_entropy: 0.9279, recall: 0.975, relative_absolute_error: 0.4843, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2579, root_relative_squared_error: 0.5434, scimark_benchmark: 1764.3772, usercpu_time_millis: 4.142, usercpu_time_millis_testing: 0.435, usercpu_time_millis_training: 3.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7914, f_measure: 0.611, kappa: 0.1561, kb_relative_information_score: 66.2841, mean_absolute_error: 0.4049, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7812, predictive_accuracy: 0.6988, prior_entropy: 0.9279, recall: 0.6988, relative_absolute_error: 0.8982, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4358, root_relative_squared_error: 0.9182, scimark_benchmark: 1760.1808, usercpu_time_millis: 3.588, usercpu_time_millis_testing: 0.454, usercpu_time_millis_training: 3.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.794, f_measure: 0.5213, kb_relative_information_score: 47.4287, mean_absolute_error: 0.4187, 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: 0.9289, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9392, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.64, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9024, f_measure: 0.771, kappa: 0.4815, kb_relative_information_score: 138.8427, mean_absolute_error: 0.3605, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8426, predictive_accuracy: 0.7987, prior_entropy: 0.9279, recall: 0.7987, relative_absolute_error: 0.7999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8359, scimark_benchmark: 1754.7638, usercpu_time_millis: 4.273, usercpu_time_millis_testing: 0.466, usercpu_time_millis_training: 3.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9153, f_measure: 0.5213, kb_relative_information_score: 74.3281, mean_absolute_error: 0.406, 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: 0.9008, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4323, root_relative_squared_error: 0.9107, scimark_benchmark: 1865.8853, usercpu_time_millis: 2.237, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8205, f_measure: 0.6277, kappa: 0.1889, kb_relative_information_score: 76.9054, mean_absolute_error: 0.398, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7982, predictive_accuracy: 0.7088, prior_entropy: 0.9279, recall: 0.7088, relative_absolute_error: 0.8831, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4292, root_relative_squared_error: 0.9044, scimark_benchmark: 1756.9418, usercpu_time_millis: 1.312, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 0.965,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.2548, 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: 1866.6076, usercpu_time_millis: 0.925, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.75,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.498, f_measure: 0.5213, kb_relative_information_score: -5.8755, mean_absolute_error: 0.4501, 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: 0.9986, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.001, scimark_benchmark: 1869.6309, usercpu_time_millis: 0.4, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.357,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.855, kappa: 0.6698, kb_relative_information_score: 177.3572, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8882, predictive_accuracy: 0.8652, prior_entropy: 0.9279, recall: 0.8652, relative_absolute_error: 0.7496, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3747, root_relative_squared_error: 0.7894, scimark_benchmark: 1755.6547, usercpu_time_millis: 0.469, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9214, f_measure: 0.8304, kappa: 0.6145, kb_relative_information_score: 185.2899, mean_absolute_error: 0.3282, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8436, predictive_accuracy: 0.8386, prior_entropy: 0.9279, recall: 0.8386, relative_absolute_error: 0.7281, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7804, scimark_benchmark: 1859.6936, usercpu_time_millis: 0.378, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5548, f_measure: 0.5213, kb_relative_information_score: 2.0269, mean_absolute_error: 0.4466, 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: 0.9909, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9944, scimark_benchmark: 1860.2246, usercpu_time_millis: 0.727, usercpu_time_millis_testing: 0.113, usercpu_time_millis_training: 0.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.696, kappa: 0.3093, kb_relative_information_score: 100.6455, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7235, predictive_accuracy: 0.7271, prior_entropy: 0.9279, recall: 0.7271, relative_absolute_error: 0.8443, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4199, root_relative_squared_error: 0.8847, scimark_benchmark: 1848.047, usercpu_time_millis: 0.103, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 0.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5213, kb_relative_information_score: -0.249, 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: 1, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1864.9656, usercpu_time_millis: 0.37, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 0.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9199, f_measure: 0.5289, kappa: 0.0127, kb_relative_information_score: 76.2516, mean_absolute_error: 0.4049, 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: 0.8983, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4313, root_relative_squared_error: 0.9087, scimark_benchmark: 1868.2531, usercpu_time_millis: 0.471, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 0.301,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5591, f_measure: 0.5213, kb_relative_information_score: -1.4448, 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: 0.9973, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9981, scimark_benchmark: 1851.2543, usercpu_time_millis: 1.291, usercpu_time_millis_testing: 0.23, usercpu_time_millis_training: 1.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1446, 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: 1835.8704, usercpu_time_millis: 0.68, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7979, f_measure: 0.6089, kappa: 0.1537, kb_relative_information_score: 69.0642, mean_absolute_error: 0.4023, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7935, predictive_accuracy: 0.6988, prior_entropy: 0.9279, recall: 0.6988, relative_absolute_error: 0.8925, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.433, root_relative_squared_error: 0.9123, scimark_benchmark: 1754.7638, usercpu_time_millis: 0.693, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.61,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9816, kappa: 0.9591, kb_relative_information_score: 364.8216, mean_absolute_error: 0.2087, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9817, predictive_accuracy: 0.9817, prior_entropy: 0.9279, recall: 0.9817, relative_absolute_error: 0.4631, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2454, root_relative_squared_error: 0.5171, scimark_benchmark: 1749.2141, usercpu_time_millis: 6.513, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 5.729,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 540.6851, mean_absolute_error: 0.059, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.131, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0897, root_relative_squared_error: 0.1889, scimark_benchmark: 1746.8666, usercpu_time_millis: 5.57, usercpu_time_millis_testing: 0.635, usercpu_time_millis_training: 4.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9639, f_measure: 0.5327, kappa: 0.0191, kb_relative_information_score: 91.797, mean_absolute_error: 0.3978, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7769, predictive_accuracy: 0.6622, prior_entropy: 0.9279, recall: 0.6622, relative_absolute_error: 0.8827, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8923, scimark_benchmark: 1750.5432, usercpu_time_millis: 2.509, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 2.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9766, kappa: 0.9479, kb_relative_information_score: 362.5582, mean_absolute_error: 0.211, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9768, predictive_accuracy: 0.9767, prior_entropy: 0.9279, recall: 0.9767, relative_absolute_error: 0.4683, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2477, root_relative_squared_error: 0.5219, scimark_benchmark: 1862.5409, usercpu_time_millis: 4.512, usercpu_time_millis_testing: 0.441, usercpu_time_millis_training: 4.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5266, f_measure: 0.5213, kb_relative_information_score: -2.4388, 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: 0.9965, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9981, scimark_benchmark: 1762.9635, usercpu_time_millis: 1.219, usercpu_time_millis_testing: 0.182, usercpu_time_millis_training: 1.037,

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