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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: 0.7985, f_measure: 0.6669, kappa: 0.255, kb_relative_information_score: 88.3291, mean_absolute_error: 0.3885, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7434, predictive_accuracy: 0.7205, prior_entropy: 0.9279, recall: 0.7205, relative_absolute_error: 0.8619, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4259, root_relative_squared_error: 0.8973, scimark_benchmark: 1849.3014, usercpu_time_millis: 0.341, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 577.1123, mean_absolute_error: 0.0236, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0524, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0502, root_relative_squared_error: 0.1057, scimark_benchmark: 1729.2681, usercpu_time_millis: 2.053, usercpu_time_millis_testing: 0.21, usercpu_time_millis_training: 1.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.492, f_measure: 0.5213, kb_relative_information_score: 0.0448, 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: 1734.2699, usercpu_time_millis: 0.478, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6566, f_measure: 0.5213, kb_relative_information_score: 17.5585, mean_absolute_error: 0.4367, 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: 0.9689, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4634, root_relative_squared_error: 0.9764, scimark_benchmark: 1692.2133, usercpu_time_millis: 1.643, usercpu_time_millis_testing: 0.234, usercpu_time_millis_training: 1.409,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.5213, kb_relative_information_score: 22.7163, mean_absolute_error: 0.4334, 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: 0.9617, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4594, root_relative_squared_error: 0.9679, scimark_benchmark: 1803.6294, usercpu_time_millis: 0.779, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 0.546,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9426, f_measure: 0.8282, kappa: 0.6087, kb_relative_information_score: 166.7326, mean_absolute_error: 0.3439, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8663, predictive_accuracy: 0.8419, prior_entropy: 0.9279, recall: 0.8419, relative_absolute_error: 0.763, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3793, root_relative_squared_error: 0.799, scimark_benchmark: 1790.438, usercpu_time_millis: 5.628, usercpu_time_millis_testing: 0.691, usercpu_time_millis_training: 4.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.5213, kb_relative_information_score: 0.4028, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 2148.2473, usercpu_time_millis: 0.599, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.522,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9229, f_measure: 0.7911, kappa: 0.5258, kb_relative_information_score: 143.6987, mean_absolute_error: 0.358, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.852, predictive_accuracy: 0.8136, prior_entropy: 0.9279, recall: 0.8136, relative_absolute_error: 0.7943, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3929, root_relative_squared_error: 0.8278, scimark_benchmark: 1793.9661, usercpu_time_millis: 5.451, usercpu_time_millis_testing: 0.659, usercpu_time_millis_training: 4.792,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7865, f_measure: 0.6446, kappa: 0.22, kb_relative_information_score: 62.8894, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7937, predictive_accuracy: 0.7171, prior_entropy: 0.9279, recall: 0.7171, relative_absolute_error: 0.8997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4337, root_relative_squared_error: 0.9137, scimark_benchmark: 2036.4503, usercpu_time_millis: 2.486, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 2.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9993, f_measure: 0.985, kappa: 0.9666, kb_relative_information_score: 393.0021, mean_absolute_error: 0.1874, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9851, predictive_accuracy: 0.985, prior_entropy: 0.9279, recall: 0.985, relative_absolute_error: 0.4159, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2245, root_relative_squared_error: 0.4729, scimark_benchmark: 2036.1812, usercpu_time_millis: 2.873, usercpu_time_millis_testing: 0.303, usercpu_time_millis_training: 2.57,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9765, kappa: 0.9474, kb_relative_information_score: 314.7584, mean_absolute_error: 0.2511, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9775, predictive_accuracy: 0.9767, prior_entropy: 0.9279, recall: 0.9767, relative_absolute_error: 0.5571, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2818, root_relative_squared_error: 0.5937, scimark_benchmark: 1779.5472, usercpu_time_millis: 3.114, usercpu_time_millis_testing: 0.355, usercpu_time_millis_training: 2.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5145, f_measure: 0.5213, kb_relative_information_score: -2.0901, 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: 0.997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.999, scimark_benchmark: 1779.1359, usercpu_time_millis: 1.668, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7502, f_measure: 0.5529, kappa: 0.0499, kb_relative_information_score: 51.3187, mean_absolute_error: 0.413, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7182, predictive_accuracy: 0.6689, prior_entropy: 0.9279, recall: 0.6689, relative_absolute_error: 0.9163, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4425, root_relative_squared_error: 0.9323, scimark_benchmark: 1781.7183, usercpu_time_millis: 2.517, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 2.203,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.5213, kb_relative_information_score: -2.4886, 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: 0.9955, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9981, scimark_benchmark: 2031.7286, usercpu_time_millis: 1.469, usercpu_time_millis_testing: 0.222, usercpu_time_millis_training: 1.247,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7044, f_measure: 0.5213, kb_relative_information_score: 13.2933, mean_absolute_error: 0.4406, 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: 0.9775, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.9799, scimark_benchmark: 1788.659, usercpu_time_millis: 0.825, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 0.568,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.567, f_measure: 0.5213, kb_relative_information_score: 3.7233, mean_absolute_error: 0.4457, 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: 0.9889, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9932, scimark_benchmark: 1777.0413, usercpu_time_millis: 1.389, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5435, f_measure: 0.5213, kb_relative_information_score: -0.8773, 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: 0.4736, root_relative_squared_error: 0.9978, scimark_benchmark: 1775.9663, usercpu_time_millis: 1.383, usercpu_time_millis_testing: 0.231, usercpu_time_millis_training: 1.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6114, f_measure: 0.5281, kappa: 0.0094, kb_relative_information_score: 20.493, mean_absolute_error: 0.4288, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6615, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9513, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.467, root_relative_squared_error: 0.9839, scimark_benchmark: 1773.7647, usercpu_time_millis: 1.115, usercpu_time_millis_testing: 0.166, usercpu_time_millis_training: 0.949,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.5213, kb_relative_information_score: -0.0525, 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: 1772.9582, usercpu_time_millis: 0.619, usercpu_time_millis_testing: 0.122, usercpu_time_millis_training: 0.497,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.5213, kb_relative_information_score: 60.4456, mean_absolute_error: 0.4138, 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: 0.918, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4397, root_relative_squared_error: 0.9265, scimark_benchmark: 1808.9647, usercpu_time_millis: 2.367, usercpu_time_millis_testing: 0.375, usercpu_time_millis_training: 1.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.5243, kappa: 0.003, kb_relative_information_score: 34.0907, mean_absolute_error: 0.426, 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: 0.9452, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4531, root_relative_squared_error: 0.9546, scimark_benchmark: 1764.7058, usercpu_time_millis: 0.838, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5539, f_measure: 0.5213, kb_relative_information_score: -1.2674, 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: 0.4737, root_relative_squared_error: 0.998, scimark_benchmark: 1741.0559, usercpu_time_millis: 1.025, usercpu_time_millis_testing: 0.178, usercpu_time_millis_training: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.5213, kb_relative_information_score: 0.1158, 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: 1739.6761, usercpu_time_millis: 0.292, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 0.209,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8667, kappa: 0.6966, kb_relative_information_score: 193.148, mean_absolute_error: 0.3306, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8951, predictive_accuracy: 0.8752, prior_entropy: 0.9279, recall: 0.8752, relative_absolute_error: 0.7334, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3652, root_relative_squared_error: 0.7694, scimark_benchmark: 1742.3326, usercpu_time_millis: 1.888, usercpu_time_millis_testing: 0.213, usercpu_time_millis_training: 1.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5339, f_measure: 0.5213, kb_relative_information_score: -2.8177, 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: 0.4731, root_relative_squared_error: 0.9967, scimark_benchmark: 1777.3145, usercpu_time_millis: 1.606, usercpu_time_millis_testing: 0.251, usercpu_time_millis_training: 1.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7129, f_measure: 0.5213, kb_relative_information_score: 30.277, mean_absolute_error: 0.4278, 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: 0.9491, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4549, root_relative_squared_error: 0.9584, scimark_benchmark: 1778.6724, usercpu_time_millis: 1.417, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 1.219,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8267, f_measure: 0.6732, kappa: 0.2763, kb_relative_information_score: 84.0102, mean_absolute_error: 0.3926, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8039, predictive_accuracy: 0.7338, prior_entropy: 0.9279, recall: 0.7338, relative_absolute_error: 0.8711, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8934, scimark_benchmark: 1777.3145, usercpu_time_millis: 0.983, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.858,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7827, f_measure: 0.5466, kappa: 0.0408, kb_relative_information_score: 55.9932, mean_absolute_error: 0.4119, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7366, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.9139, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4408, root_relative_squared_error: 0.9287, scimark_benchmark: 2167.7682, usercpu_time_millis: 1.326, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.156,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1289, 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: 1815.8175, usercpu_time_millis: 0.731, usercpu_time_millis_testing: 0.279, usercpu_time_millis_training: 0.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9715, f_measure: 0.851, kappa: 0.6608, kb_relative_information_score: 181.7468, mean_absolute_error: 0.3374, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8859, predictive_accuracy: 0.8619, prior_entropy: 0.9279, recall: 0.8619, relative_absolute_error: 0.7486, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3713, root_relative_squared_error: 0.7822, scimark_benchmark: 2120.2209, usercpu_time_millis: 3.184, usercpu_time_millis_testing: 0.357, usercpu_time_millis_training: 2.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9601, f_measure: 0.8247, kappa: 0.601, kb_relative_information_score: 165.6568, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8715, predictive_accuracy: 0.8403, prior_entropy: 0.9279, recall: 0.8403, relative_absolute_error: 0.7706, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.381, root_relative_squared_error: 0.8027, scimark_benchmark: 1756.65, usercpu_time_millis: 1.231, usercpu_time_millis_testing: 0.155, usercpu_time_millis_training: 1.076,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9973, f_measure: 0.9542, kappa: 0.8971, kb_relative_information_score: 272.5663, mean_absolute_error: 0.2799, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9579, predictive_accuracy: 0.9551, prior_entropy: 0.9279, recall: 0.9551, relative_absolute_error: 0.6211, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3126, root_relative_squared_error: 0.6586, scimark_benchmark: 1758.8825, usercpu_time_millis: 4.109, usercpu_time_millis_testing: 0.551, usercpu_time_millis_training: 3.558,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7817, f_measure: 0.6089, kappa: 0.1537, kb_relative_information_score: 59.7285, mean_absolute_error: 0.4078, 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: 0.9047, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.436, root_relative_squared_error: 0.9187, scimark_benchmark: 1810.8877, usercpu_time_millis: 2.117, usercpu_time_millis_testing: 0.306, usercpu_time_millis_training: 1.811,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5213, kb_relative_information_score: -0.3614, 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, scimark_benchmark: 1807.4063, usercpu_time_millis: 1.038, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 0.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9971, f_measure: 0.9614, kappa: 0.9136, kb_relative_information_score: 338.5143, mean_absolute_error: 0.2281, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9624, predictive_accuracy: 0.9617, prior_entropy: 0.9279, recall: 0.9617, relative_absolute_error: 0.506, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2671, root_relative_squared_error: 0.5628, scimark_benchmark: 1776.1005, usercpu_time_millis: 2.874, usercpu_time_millis_testing: 0.343, usercpu_time_millis_training: 2.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7177, f_measure: 0.5213, kb_relative_information_score: 12.8357, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9796, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9818, scimark_benchmark: 1805.0025, usercpu_time_millis: 0.599, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.496,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9928, f_measure: 0.9457, kappa: 0.8779, kb_relative_information_score: 333.9771, mean_absolute_error: 0.2293, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9495, predictive_accuracy: 0.9468, prior_entropy: 0.9279, recall: 0.9468, relative_absolute_error: 0.5087, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2717, root_relative_squared_error: 0.5723, scimark_benchmark: 2138.6673, usercpu_time_millis: 2.563, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 2.302,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8891, f_measure: 0.5213, kb_relative_information_score: 64.3788, mean_absolute_error: 0.4113, 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: 0.9126, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4372, root_relative_squared_error: 0.9212, scimark_benchmark: 1773.7127, usercpu_time_millis: 1.518, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 1.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6628, f_measure: 0.5213, kb_relative_information_score: 17.3897, mean_absolute_error: 0.4368, 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: 0.9691, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4631, root_relative_squared_error: 0.9756, scimark_benchmark: 1778.1707, usercpu_time_millis: 0.946, usercpu_time_millis_testing: 0.115, usercpu_time_millis_training: 0.831,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 534.8647, mean_absolute_error: 0.0637, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1413, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0997, root_relative_squared_error: 0.2101, scimark_benchmark: 1766.5583, usercpu_time_millis: 0.437, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.374,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9399, f_measure: 0.8584, kappa: 0.6776, kb_relative_information_score: 170.5752, mean_absolute_error: 0.3415, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8828, predictive_accuracy: 0.8669, prior_entropy: 0.9279, recall: 0.8669, relative_absolute_error: 0.7577, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3763, root_relative_squared_error: 0.7928, scimark_benchmark: 1769.8717, usercpu_time_millis: 0.493, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.5213, kb_relative_information_score: -0.3494, 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: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1752.5943, usercpu_time_millis: 1.625, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.34,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5294, f_measure: 0.5213, kb_relative_information_score: -3.3696, 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: 0.9963, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9982, scimark_benchmark: 1134.6978, usercpu_time_millis: 1.479, usercpu_time_millis_testing: 0.273, usercpu_time_millis_training: 1.206,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.2232, 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: 2149.3901, usercpu_time_millis: 0.58, usercpu_time_millis_testing: 0.1, usercpu_time_millis_training: 0.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4947, f_measure: 0.5213, kb_relative_information_score: -0.6645, 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: 1.0003, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1769.093, usercpu_time_millis: 0.702, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.569,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9527, kappa: 0.8936, kb_relative_information_score: 294.418, mean_absolute_error: 0.2614, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9555, predictive_accuracy: 0.9534, prior_entropy: 0.9279, recall: 0.9534, relative_absolute_error: 0.5799, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2987, root_relative_squared_error: 0.6293, scimark_benchmark: 1779.6032, usercpu_time_millis: 2.047, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 1.833,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5213, kb_relative_information_score: -0.49, 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: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 2089.8482, usercpu_time_millis: 0.499, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 0.433,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9243, kappa: 0.8288, kb_relative_information_score: 248.8491, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9341, predictive_accuracy: 0.9268, prior_entropy: 0.9279, recall: 0.9268, relative_absolute_error: 0.6561, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3296, root_relative_squared_error: 0.6943, scimark_benchmark: 1741.1993, usercpu_time_millis: 2.49, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 2.196,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5932, f_measure: 0.5213, kb_relative_information_score: 6.967, mean_absolute_error: 0.4438, 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: 0.9846, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9892, scimark_benchmark: 1749.1622, usercpu_time_millis: 1.158, usercpu_time_millis_testing: 0.314, usercpu_time_millis_training: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.848, f_measure: 0.6989, kappa: 0.3292, kb_relative_information_score: 100.1054, mean_absolute_error: 0.3839, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8191, predictive_accuracy: 0.7504, prior_entropy: 0.9279, recall: 0.7504, relative_absolute_error: 0.8517, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4182, root_relative_squared_error: 0.8812, scimark_benchmark: 1781.6369, usercpu_time_millis: 3.809, usercpu_time_millis_testing: 0.408, usercpu_time_millis_training: 3.401,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5418, f_measure: 0.5213, kb_relative_information_score: -1.8868, mean_absolute_error: 0.4479, 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: 0.9937, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.996, scimark_benchmark: 1744.592, usercpu_time_millis: 0.534, usercpu_time_millis_testing: 0.103, usercpu_time_millis_training: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8278, f_measure: 0.7488, kappa: 0.4328, kb_relative_information_score: 215.8133, mean_absolute_error: 0.29, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7485, predictive_accuracy: 0.7554, prior_entropy: 0.9279, recall: 0.7554, relative_absolute_error: 0.6435, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4019, root_relative_squared_error: 0.8469, scimark_benchmark: 1761.0344, usercpu_time_millis: 0.064, usercpu_time_millis_testing: 0.023, usercpu_time_millis_training: 0.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5071, f_measure: 0.5213, kb_relative_information_score: -4.0971, 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: 0.9972, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9999, scimark_benchmark: 1741.8343, usercpu_time_millis: 0.98, usercpu_time_millis_testing: 0.302, usercpu_time_millis_training: 0.678,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5807, f_measure: 0.5213, kb_relative_information_score: 3.3493, mean_absolute_error: 0.4456, 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: 0.9886, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4708, root_relative_squared_error: 0.992, scimark_benchmark: 1735.7557, usercpu_time_millis: 0.388, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5498, f_measure: 0.5213, kb_relative_information_score: -1.5323, 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: 0.4738, root_relative_squared_error: 0.9983, scimark_benchmark: 1799.2604, usercpu_time_millis: 0.926, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.5213, kb_relative_information_score: -0.2879, 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: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1799.6247, usercpu_time_millis: 0.936, usercpu_time_millis_testing: 0.163, usercpu_time_millis_training: 0.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9782, f_measure: 0.8926, kappa: 0.7563, kb_relative_information_score: 236.4278, mean_absolute_error: 0.2986, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9051, predictive_accuracy: 0.8968, prior_entropy: 0.9279, recall: 0.8968, relative_absolute_error: 0.6626, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3378, root_relative_squared_error: 0.7116, scimark_benchmark: 1760.6551, usercpu_time_millis: 6.397, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 5.621,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9969, f_measure: 0.9666, kappa: 0.9256, kb_relative_information_score: 390.2335, mean_absolute_error: 0.1854, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9667, predictive_accuracy: 0.9667, prior_entropy: 0.9279, recall: 0.9667, relative_absolute_error: 0.4114, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2321, root_relative_squared_error: 0.489, scimark_benchmark: 1762.3394, usercpu_time_millis: 5.811, usercpu_time_millis_testing: 0.666, usercpu_time_millis_training: 5.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5291, f_measure: 0.5213, kb_relative_information_score: -1.5121, 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: 0.4739, root_relative_squared_error: 0.9985, scimark_benchmark: 1773.0698, usercpu_time_millis: 0.702, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7452, f_measure: 0.5281, kappa: 0.0094, kb_relative_information_score: 43.5945, mean_absolute_error: 0.4199, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6615, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9317, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.448, root_relative_squared_error: 0.9439, scimark_benchmark: 2103.83, usercpu_time_millis: 0.407, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5402, f_measure: 0.5213, kb_relative_information_score: -2.5372, mean_absolute_error: 0.4483, 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: 0.9946, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9971, scimark_benchmark: 2108.4479, usercpu_time_millis: 0.515, usercpu_time_millis_testing: 0.084, usercpu_time_millis_training: 0.431,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.894, f_measure: 0.8097, kappa: 0.567, kb_relative_information_score: 173.7936, mean_absolute_error: 0.334, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8254, predictive_accuracy: 0.8203, prior_entropy: 0.9279, recall: 0.8203, relative_absolute_error: 0.741, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.38, root_relative_squared_error: 0.8006, scimark_benchmark: 1752.5766, usercpu_time_millis: 3.963, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 3.498,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.5714, kappa: 0.0841, kb_relative_information_score: 58.1627, mean_absolute_error: 0.4101, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7618, predictive_accuracy: 0.6789, prior_entropy: 0.9279, recall: 0.6789, relative_absolute_error: 0.9099, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4381, root_relative_squared_error: 0.9231, scimark_benchmark: 1759.0191, usercpu_time_millis: 0.291, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.243,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9531, f_measure: 0.8534, kappa: 0.6662, kb_relative_information_score: 177.4247, mean_absolute_error: 0.3379, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8852, predictive_accuracy: 0.8636, prior_entropy: 0.9279, recall: 0.8636, relative_absolute_error: 0.7498, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3743, root_relative_squared_error: 0.7885, scimark_benchmark: 1840.7617, usercpu_time_millis: 4.522, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 3.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7461, f_measure: 0.543, kappa: 0.0346, kb_relative_information_score: 47.6618, mean_absolute_error: 0.4162, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7297, predictive_accuracy: 0.6656, prior_entropy: 0.9279, recall: 0.6656, relative_absolute_error: 0.9234, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.9381, scimark_benchmark: 1755.2453, usercpu_time_millis: 1.908, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 1.651,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5256, f_measure: 0.5213, kb_relative_information_score: -1.3494, 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: 0.994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9981, scimark_benchmark: 1733.4001, usercpu_time_millis: 1.638, usercpu_time_millis_testing: 0.218, usercpu_time_millis_training: 1.42,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.955, f_measure: 0.8482, kappa: 0.6544, kb_relative_information_score: 187.6074, mean_absolute_error: 0.3316, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8782, predictive_accuracy: 0.8586, prior_entropy: 0.9279, recall: 0.8586, relative_absolute_error: 0.7357, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3683, root_relative_squared_error: 0.776, scimark_benchmark: 1716.8756, usercpu_time_millis: 0.608, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.54,

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