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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: 0.4925, f_measure: 0.5213, kb_relative_information_score: 0.127, 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: 1840.3077, usercpu_time_millis: 0.756, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.597,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.888, f_measure: 0.7395, kappa: 0.4139, kb_relative_information_score: 127.4019, mean_absolute_error: 0.3687, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8335, predictive_accuracy: 0.777, prior_entropy: 0.9279, recall: 0.777, relative_absolute_error: 0.8181, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4044, root_relative_squared_error: 0.8519, scimark_benchmark: 1779.9757, usercpu_time_millis: 3.938, usercpu_time_millis_testing: 0.52, usercpu_time_millis_training: 3.418,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7524, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 38.427, mean_absolute_error: 0.4225, 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: 0.9375, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4481, root_relative_squared_error: 0.9441, scimark_benchmark: 1753.6568, usercpu_time_millis: 2.517, usercpu_time_millis_testing: 0.353, usercpu_time_millis_training: 2.164,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5439, f_measure: 0.5213, kb_relative_information_score: -0.3393, mean_absolute_error: 0.448, 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: 0.9939, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9962, scimark_benchmark: 1773.2437, usercpu_time_millis: 1.766, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 1.485,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9895, f_measure: 0.9139, kappa: 0.8049, kb_relative_information_score: 253.1146, mean_absolute_error: 0.2897, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9242, predictive_accuracy: 0.9168, prior_entropy: 0.9279, recall: 0.9168, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.327, root_relative_squared_error: 0.689, scimark_benchmark: 1769.8836, usercpu_time_millis: 4.909, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 4.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9613, f_measure: 0.892, kappa: 0.7557, kb_relative_information_score: 219.0778, mean_absolute_error: 0.31, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8988, predictive_accuracy: 0.8952, prior_entropy: 0.9279, recall: 0.8952, relative_absolute_error: 0.6878, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3483, root_relative_squared_error: 0.7339, scimark_benchmark: 1764.2759, usercpu_time_millis: 1.649, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 1.47,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.518, f_measure: 0.5213, kb_relative_information_score: -4.0279, mean_absolute_error: 0.449, 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: 0.9962, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9985, scimark_benchmark: 1773.1991, usercpu_time_millis: 1.47, usercpu_time_millis_testing: 0.256, usercpu_time_millis_training: 1.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9351, f_measure: 0.8292, kappa: 0.6112, kb_relative_information_score: 151.0779, mean_absolute_error: 0.3541, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8536, predictive_accuracy: 0.8403, prior_entropy: 0.9279, recall: 0.8403, relative_absolute_error: 0.7856, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3863, root_relative_squared_error: 0.814, scimark_benchmark: 1848.916, usercpu_time_millis: 2.822, usercpu_time_millis_testing: 0.346, usercpu_time_millis_training: 2.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9635, f_measure: 0.8709, kappa: 0.7062, kb_relative_information_score: 186.3481, mean_absolute_error: 0.3337, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8959, predictive_accuracy: 0.8785, prior_entropy: 0.9279, recall: 0.8785, relative_absolute_error: 0.7405, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3686, root_relative_squared_error: 0.7765, scimark_benchmark: 1761.5479, usercpu_time_millis: 0.705, usercpu_time_millis_testing: 0.099, usercpu_time_millis_training: 0.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7212, f_measure: 0.5213, kb_relative_information_score: 17.5086, mean_absolute_error: 0.4376, 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: 0.9709, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4622, root_relative_squared_error: 0.9739, scimark_benchmark: 1757.271, usercpu_time_millis: 1.413, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 1.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8647, f_measure: 0.708, kappa: 0.3472, kb_relative_information_score: 110.2684, mean_absolute_error: 0.378, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8167, predictive_accuracy: 0.7554, prior_entropy: 0.9279, recall: 0.7554, relative_absolute_error: 0.8387, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4124, root_relative_squared_error: 0.8689, scimark_benchmark: 1757.0992, usercpu_time_millis: 0.96, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.5213, kb_relative_information_score: -0.2985, 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: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1864.5074, usercpu_time_millis: 0.325, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6835, f_measure: 0.5213, kb_relative_information_score: 21.562, 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: 0.9641, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4607, root_relative_squared_error: 0.9707, scimark_benchmark: 1802.7086, usercpu_time_millis: 0.277, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.226,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 507.8253, mean_absolute_error: 0.0899, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.121, root_relative_squared_error: 0.255, scimark_benchmark: 1854.2898, usercpu_time_millis: 4.289, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 3.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9749, kappa: 0.944, kb_relative_information_score: 346.3982, mean_absolute_error: 0.2229, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9753, predictive_accuracy: 0.975, prior_entropy: 0.9279, recall: 0.975, relative_absolute_error: 0.4945, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2607, root_relative_squared_error: 0.5493, scimark_benchmark: 1744.9208, usercpu_time_millis: 8.77, usercpu_time_millis_testing: 0.952, usercpu_time_millis_training: 7.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9614, kappa: 0.9138, kb_relative_information_score: 302.7847, mean_absolute_error: 0.2549, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9621, predictive_accuracy: 0.9617, prior_entropy: 0.9279, recall: 0.9617, relative_absolute_error: 0.5656, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2912, root_relative_squared_error: 0.6135, scimark_benchmark: 1745.8242, usercpu_time_millis: 3.777, usercpu_time_millis_testing: 0.432, usercpu_time_millis_training: 3.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 566.285, mean_absolute_error: 0.0349, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0775, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.058, root_relative_squared_error: 0.1221, scimark_benchmark: 1850.0393, usercpu_time_millis: 4.678, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 4.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5479, f_measure: 0.5213, kb_relative_information_score: -3.4135, mean_absolute_error: 0.449, 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: 0.9962, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9976, scimark_benchmark: 1734.5947, usercpu_time_millis: 1.089, usercpu_time_millis_testing: 0.194, usercpu_time_millis_training: 0.895,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8458, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 56.6762, mean_absolute_error: 0.4144, 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: 0.9194, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4406, root_relative_squared_error: 0.9284, scimark_benchmark: 1755.7637, usercpu_time_millis: 1.137, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9958, f_measure: 0.9332, kappa: 0.8491, kb_relative_information_score: 260.9176, mean_absolute_error: 0.2875, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9409, predictive_accuracy: 0.9351, prior_entropy: 0.9279, recall: 0.9351, relative_absolute_error: 0.6378, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3207, root_relative_squared_error: 0.6757, scimark_benchmark: 1889.1364, usercpu_time_millis: 5.167, usercpu_time_millis_testing: 0.628, usercpu_time_millis_training: 4.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9991, f_measure: 0.9867, kappa: 0.9705, kb_relative_information_score: 376.671, mean_absolute_error: 0.2001, 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: 0.444, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2372, root_relative_squared_error: 0.4997, scimark_benchmark: 1758.9453, usercpu_time_millis: 4.052, usercpu_time_millis_testing: 0.42, usercpu_time_millis_training: 3.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7639, f_measure: 0.5402, kappa: 0.0317, kb_relative_information_score: 50.9479, mean_absolute_error: 0.4145, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7783, predictive_accuracy: 0.6656, prior_entropy: 0.9279, recall: 0.6656, relative_absolute_error: 0.9197, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4433, root_relative_squared_error: 0.9341, scimark_benchmark: 1940.111, usercpu_time_millis: 1.759, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 1.542,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.8858, kappa: 0.7404, kb_relative_information_score: 203.0168, mean_absolute_error: 0.3239, 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: 0.7185, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3582, root_relative_squared_error: 0.7546, scimark_benchmark: 1754.3741, usercpu_time_millis: 3.966, usercpu_time_millis_testing: 0.479, usercpu_time_millis_training: 3.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5639, f_measure: 0.5213, kb_relative_information_score: 2.8522, mean_absolute_error: 0.4464, 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: 0.9903, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9935, scimark_benchmark: 1957.3843, usercpu_time_millis: 0.607, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5545, f_measure: 0.5213, kb_relative_information_score: 0.9106, mean_absolute_error: 0.4476, 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: 0.993, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4723, root_relative_squared_error: 0.995, scimark_benchmark: 1745.9419, usercpu_time_millis: 0.373, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5148, f_measure: 0.5213, kb_relative_information_score: -6.3764, mean_absolute_error: 0.4503, 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: 0.9991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0033, scimark_benchmark: 1732.7318, usercpu_time_millis: 0.55, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.447,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.5213, kb_relative_information_score: -0.4787, 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: 1.0002, scimark_benchmark: 1743.3173, usercpu_time_millis: 0.115, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.5213, kb_relative_information_score: 0.0109, 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: 1.0001, scimark_benchmark: 1780.5265, usercpu_time_millis: 0.417, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.371,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.494, f_measure: 0.5213, kb_relative_information_score: 0.1413, 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: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1779.1975, usercpu_time_millis: 0.312, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.24,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.998, f_measure: 0.9421, kappa: 0.8693, kb_relative_information_score: 266.6564, mean_absolute_error: 0.2838, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9479, predictive_accuracy: 0.9434, prior_entropy: 0.9279, recall: 0.9434, relative_absolute_error: 0.6296, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3173, root_relative_squared_error: 0.6685, scimark_benchmark: 1716.8879, usercpu_time_millis: 4.807, usercpu_time_millis_testing: 0.575, usercpu_time_millis_training: 4.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5213, kb_relative_information_score: 0.0904, 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: 1735.637, usercpu_time_millis: 1.178, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.895, kappa: 0.7623, kb_relative_information_score: 229.939, mean_absolute_error: 0.3041, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9038, predictive_accuracy: 0.8985, prior_entropy: 0.9279, recall: 0.8985, relative_absolute_error: 0.6747, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3398, root_relative_squared_error: 0.716, scimark_benchmark: 1745.7158, usercpu_time_millis: 1.811, usercpu_time_millis_testing: 0.219, usercpu_time_millis_training: 1.592,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7599, f_measure: 0.5319, kappa: 0.0157, kb_relative_information_score: 47.1935, mean_absolute_error: 0.4167, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6908, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.9246, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4447, root_relative_squared_error: 0.937, scimark_benchmark: 1832.6873, usercpu_time_millis: 2.374, usercpu_time_millis_testing: 0.345, usercpu_time_millis_training: 2.029,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9968, f_measure: 0.9579, kappa: 0.9056, kb_relative_information_score: 320.8729, mean_absolute_error: 0.2414, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9596, predictive_accuracy: 0.9584, prior_entropy: 0.9279, recall: 0.9584, relative_absolute_error: 0.5356, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2802, root_relative_squared_error: 0.5904, scimark_benchmark: 1802.0225, usercpu_time_millis: 5.532, usercpu_time_millis_testing: 0.669, usercpu_time_millis_training: 4.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8053, f_measure: 0.6475, kappa: 0.2257, kb_relative_information_score: 80.7346, mean_absolute_error: 0.395, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7947, predictive_accuracy: 0.7188, prior_entropy: 0.9279, recall: 0.7188, relative_absolute_error: 0.8763, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9047, scimark_benchmark: 1754.5148, usercpu_time_millis: 1.302, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 1.103,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.5213, kb_relative_information_score: 0.0337, 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: 1719.4481, usercpu_time_millis: 0.207, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.161,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.6121, kappa: 0.1596, kb_relative_information_score: 65.6395, mean_absolute_error: 0.4039, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7943, predictive_accuracy: 0.7005, prior_entropy: 0.9279, recall: 0.7005, relative_absolute_error: 0.8961, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4342, root_relative_squared_error: 0.9148, scimark_benchmark: 1770.5099, usercpu_time_millis: 2.096, usercpu_time_millis_testing: 0.297, usercpu_time_millis_training: 1.799,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8002, f_measure: 0.6594, kappa: 0.247, kb_relative_information_score: 78.6201, mean_absolute_error: 0.3957, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7846, predictive_accuracy: 0.7238, prior_entropy: 0.9279, recall: 0.7238, relative_absolute_error: 0.878, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4294, root_relative_squared_error: 0.9046, scimark_benchmark: 1810.5642, usercpu_time_millis: 1.493, usercpu_time_millis_testing: 0.19, usercpu_time_millis_training: 1.303,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7251, f_measure: 0.5213, kb_relative_information_score: 16.9798, mean_absolute_error: 0.4383, 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: 0.9724, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4629, root_relative_squared_error: 0.9753, scimark_benchmark: 1878.3273, usercpu_time_millis: 1.544, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 1.32,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9493, f_measure: 0.8806, kappa: 0.7291, kb_relative_information_score: 205.9632, mean_absolute_error: 0.3178, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8917, predictive_accuracy: 0.8852, prior_entropy: 0.9279, recall: 0.8852, relative_absolute_error: 0.705, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.357, root_relative_squared_error: 0.7522, scimark_benchmark: 1847.8913, usercpu_time_millis: 0.945, usercpu_time_millis_testing: 0.108, usercpu_time_millis_training: 0.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5387, f_measure: 0.5213, kb_relative_information_score: -3.5107, mean_absolute_error: 0.4477, 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: 0.9933, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9982, scimark_benchmark: 1826.0828, usercpu_time_millis: 0.325, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9595, f_measure: 0.881, kappa: 0.7305, kb_relative_information_score: 237.9029, mean_absolute_error: 0.2936, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.89, predictive_accuracy: 0.8852, prior_entropy: 0.9279, recall: 0.8852, relative_absolute_error: 0.6514, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3397, root_relative_squared_error: 0.7158, scimark_benchmark: 1850.5475, usercpu_time_millis: 0.361, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7283, f_measure: 0.5227, kappa: -0.0036, kb_relative_information_score: 35.5476, mean_absolute_error: 0.4242, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5172, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.9412, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9525, scimark_benchmark: 1856.9765, usercpu_time_millis: 0.409, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.366,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9176, f_measure: 0.8079, kappa: 0.563, kb_relative_information_score: 145.064, mean_absolute_error: 0.3561, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8525, predictive_accuracy: 0.8253, prior_entropy: 0.9279, recall: 0.8253, relative_absolute_error: 0.7901, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.391, root_relative_squared_error: 0.8238, scimark_benchmark: 1766.118, usercpu_time_millis: 4.771, usercpu_time_millis_testing: 0.667, usercpu_time_millis_training: 4.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9554, f_measure: 0.8654, kappa: 0.6937, kb_relative_information_score: 179.3718, mean_absolute_error: 0.3373, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8907, predictive_accuracy: 0.8735, prior_entropy: 0.9279, recall: 0.8735, relative_absolute_error: 0.7483, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7835, scimark_benchmark: 1767.948, usercpu_time_millis: 4.51, usercpu_time_millis_testing: 0.593, usercpu_time_millis_training: 3.917,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8601, f_measure: 0.6635, kappa: 0.2561, kb_relative_information_score: 85.2529, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7933, predictive_accuracy: 0.7271, prior_entropy: 0.9279, recall: 0.7271, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4216, root_relative_squared_error: 0.8883, scimark_benchmark: 1771.197, usercpu_time_millis: 3.324, usercpu_time_millis_testing: 0.451, usercpu_time_millis_training: 2.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8796, f_measure: 0.7573, kappa: 0.4508, kb_relative_information_score: 129.0113, mean_absolute_error: 0.3659, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8258, predictive_accuracy: 0.787, prior_entropy: 0.9279, recall: 0.787, relative_absolute_error: 0.8118, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4025, root_relative_squared_error: 0.848, scimark_benchmark: 1767.6777, usercpu_time_millis: 3.661, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 3.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 510.6355, mean_absolute_error: 0.0864, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9279, recall: 0.9933, relative_absolute_error: 0.1917, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1212, root_relative_squared_error: 0.2553, scimark_benchmark: 1713.9419, usercpu_time_millis: 3.522, usercpu_time_millis_testing: 0.356, usercpu_time_millis_training: 3.166,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7948, f_measure: 0.5439, kappa: 0.0379, kb_relative_information_score: 57.9787, mean_absolute_error: 0.411, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7791, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.9119, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4398, root_relative_squared_error: 0.9265, scimark_benchmark: 1707.2426, usercpu_time_millis: 2.372, usercpu_time_millis_testing: 0.38, usercpu_time_millis_training: 1.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.5213, kb_relative_information_score: -3.1297, 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: 0.9969, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9994, scimark_benchmark: 1773.0168, usercpu_time_millis: 1.109, usercpu_time_millis_testing: 0.174, usercpu_time_millis_training: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.0904, 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: 1705.5669, usercpu_time_millis: 0.897, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 0.687,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5173, f_measure: 0.5213, kb_relative_information_score: -1.6316, mean_absolute_error: 0.4487, 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: 0.9956, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9992, scimark_benchmark: 1763.639, usercpu_time_millis: 0.246, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.205,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9883, kappa: 0.9739, kb_relative_information_score: 384.036, mean_absolute_error: 0.1953, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9886, predictive_accuracy: 0.9884, prior_entropy: 0.9279, recall: 0.9884, relative_absolute_error: 0.4334, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2305, root_relative_squared_error: 0.4857, scimark_benchmark: 1726.5036, usercpu_time_millis: 2.336, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 2.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7315, f_measure: 0.5235, kappa: -0.0003, kb_relative_information_score: 38.7009, mean_absolute_error: 0.4233, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5462, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9391, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9504, scimark_benchmark: 1731.1664, usercpu_time_millis: 2.25, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 1.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7782, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 42.9477, mean_absolute_error: 0.4208, 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: 0.9336, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4471, root_relative_squared_error: 0.942, scimark_benchmark: 1729.5281, usercpu_time_millis: 2.028, usercpu_time_millis_testing: 0.321, usercpu_time_millis_training: 1.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5124, f_measure: 0.5213, kb_relative_information_score: -3.6428, 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: 0.4753, root_relative_squared_error: 1.0014, scimark_benchmark: 1775.7346, usercpu_time_millis: 1.329, usercpu_time_millis_testing: 0.275, usercpu_time_millis_training: 1.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9066, f_measure: 0.777, kappa: 0.495, kb_relative_information_score: 136.8783, mean_absolute_error: 0.3625, 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: 0.8043, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3975, root_relative_squared_error: 0.8375, scimark_benchmark: 2117.4156, usercpu_time_millis: 1.019, usercpu_time_millis_testing: 0.132, usercpu_time_millis_training: 0.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6021, f_measure: 0.5213, kb_relative_information_score: 7.2806, mean_absolute_error: 0.4437, 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: 0.9845, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4691, root_relative_squared_error: 0.9884, scimark_benchmark: 1855.5502, usercpu_time_millis: 0.914, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.751,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7768, f_measure: 0.5512, kappa: 0.0504, kb_relative_information_score: 54.4257, mean_absolute_error: 0.412, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7806, predictive_accuracy: 0.6705, prior_entropy: 0.9279, recall: 0.6705, relative_absolute_error: 0.9141, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9278, scimark_benchmark: 1768.5947, usercpu_time_millis: 3.506, usercpu_time_millis_testing: 0.483, usercpu_time_millis_training: 3.023,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9198, f_measure: 0.7955, kappa: 0.5355, kb_relative_information_score: 135.5766, mean_absolute_error: 0.3637, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8541, predictive_accuracy: 0.817, prior_entropy: 0.9279, recall: 0.817, relative_absolute_error: 0.807, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8357, scimark_benchmark: 1774.2856, usercpu_time_millis: 3.564, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 3.09,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.9833, kappa: 0.963, kb_relative_information_score: 379.8814, mean_absolute_error: 0.1973, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9833, predictive_accuracy: 0.9834, prior_entropy: 0.9279, recall: 0.9834, relative_absolute_error: 0.4378, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2349, root_relative_squared_error: 0.4949, scimark_benchmark: 1722.7669, usercpu_time_millis: 3.841, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 3.434,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7218, f_measure: 0.5213, kb_relative_information_score: 13.0712, mean_absolute_error: 0.4412, 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: 0.9788, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4657, root_relative_squared_error: 0.9811, scimark_benchmark: 1764.9797, usercpu_time_millis: 1.569, usercpu_time_millis_testing: 0.247, usercpu_time_millis_training: 1.322,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9783, kappa: 0.9516, kb_relative_information_score: 387.3574, mean_absolute_error: 0.1899, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9785, predictive_accuracy: 0.9784, prior_entropy: 0.9279, recall: 0.9784, relative_absolute_error: 0.4213, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2306, root_relative_squared_error: 0.4858, scimark_benchmark: 1776.5733, usercpu_time_millis: 0.716, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 0.642,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.5213, kb_relative_information_score: 26.015, mean_absolute_error: 0.4322, 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: 0.959, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4581, root_relative_squared_error: 0.9651, scimark_benchmark: 1776.0957, usercpu_time_millis: 1, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 0.864,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5213, kb_relative_information_score: 0.0613, 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: 1760.2258, usercpu_time_millis: 1.113, usercpu_time_millis_testing: 0.361, usercpu_time_millis_training: 0.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.995, kappa: 0.989, kb_relative_information_score: 482.1562, mean_absolute_error: 0.1122, 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: 0.2489, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1476, root_relative_squared_error: 0.3111, scimark_benchmark: 1847.1715, usercpu_time_millis: 1.668, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.844, f_measure: 0.6619, kappa: 0.254, kb_relative_information_score: 83.5165, mean_absolute_error: 0.3941, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7999, predictive_accuracy: 0.7271, prior_entropy: 0.9279, recall: 0.7271, relative_absolute_error: 0.8744, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4235, root_relative_squared_error: 0.8922, scimark_benchmark: 1857.269, usercpu_time_millis: 1.198, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 1.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6826, f_measure: 0.5248, kappa: -0.0038, kb_relative_information_score: 29.8223, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5295, predictive_accuracy: 0.6522, prior_entropy: 0.9279, recall: 0.6522, relative_absolute_error: 0.9502, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4576, root_relative_squared_error: 0.964, scimark_benchmark: 1897.2013, usercpu_time_millis: 2.255, usercpu_time_millis_testing: 0.295, usercpu_time_millis_training: 1.96,

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