Task
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: 0.9958, f_measure: 0.9596, kappa: 0.9095, kb_relative_information_score: 346.9085, mean_absolute_error: 0.2209, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9611, predictive_accuracy: 0.9601, prior_entropy: 0.9279, recall: 0.9601, relative_absolute_error: 0.4901, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2619, root_relative_squared_error: 0.5519, scimark_benchmark: 1871.3226, usercpu_time_millis: 0.443, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7685, f_measure: 0.5213, kb_relative_information_score: 25.6152, mean_absolute_error: 0.4331, 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: 0.9609, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.458, root_relative_squared_error: 0.9649, scimark_benchmark: 1851.2014, 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: 0.9674, f_measure: 0.8902, kappa: 0.7515, kb_relative_information_score: 238.5304, mean_absolute_error: 0.2957, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8973, predictive_accuracy: 0.8935, prior_entropy: 0.9279, recall: 0.8935, relative_absolute_error: 0.6562, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3367, root_relative_squared_error: 0.7093, scimark_benchmark: 1810.9144, usercpu_time_millis: 2.214, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.923, f_measure: 0.7068, kappa: 0.3454, kb_relative_information_score: 123.4873, mean_absolute_error: 0.3726, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8217, predictive_accuracy: 0.7554, prior_entropy: 0.9279, recall: 0.7554, relative_absolute_error: 0.8267, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4047, root_relative_squared_error: 0.8526, scimark_benchmark: 1808.3219, usercpu_time_millis: 2.405, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 2.042,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.8573, kappa: 0.6751, kb_relative_information_score: 184.3509, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8876, predictive_accuracy: 0.8669, prior_entropy: 0.9279, recall: 0.8669, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3699, root_relative_squared_error: 0.7794, scimark_benchmark: 1876.23, usercpu_time_millis: 3.721, usercpu_time_millis_testing: 0.496, usercpu_time_millis_training: 3.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8339, f_measure: 0.5213, kb_relative_information_score: 51.2871, mean_absolute_error: 0.4177, 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: 0.9267, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.444, root_relative_squared_error: 0.9354, scimark_benchmark: 1792.7732, usercpu_time_millis: 2.909, usercpu_time_millis_testing: 0.463, usercpu_time_millis_training: 2.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.5213, kb_relative_information_score: 27.5191, mean_absolute_error: 0.4304, 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: 0.9549, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4554, root_relative_squared_error: 0.9595, scimark_benchmark: 1832.025, usercpu_time_millis: 0.837, usercpu_time_millis_testing: 0.126, usercpu_time_millis_training: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9591, f_measure: 0.8803, kappa: 0.7285, kb_relative_information_score: 213.4408, mean_absolute_error: 0.3132, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8926, predictive_accuracy: 0.8852, prior_entropy: 0.9279, recall: 0.8852, relative_absolute_error: 0.695, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3523, root_relative_squared_error: 0.7423, scimark_benchmark: 1856.4009, usercpu_time_millis: 1.273, usercpu_time_millis_testing: 0.141, usercpu_time_millis_training: 1.132,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9423, f_measure: 0.7747, kappa: 0.4901, kb_relative_information_score: 148.1178, mean_absolute_error: 0.3574, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8478, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.7931, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3914, root_relative_squared_error: 0.8247, scimark_benchmark: 1849.668, usercpu_time_millis: 3.904, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 3.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9382, f_measure: 0.852, kappa: 0.6632, kb_relative_information_score: 179.8914, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8722, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.7434, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3728, root_relative_squared_error: 0.7854, scimark_benchmark: 1804.339, usercpu_time_millis: 0.936, usercpu_time_millis_testing: 0.101, usercpu_time_millis_training: 0.835,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9361, f_measure: 0.8618, kappa: 0.686, kb_relative_information_score: 182.846, mean_absolute_error: 0.3324, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8778, predictive_accuracy: 0.8686, prior_entropy: 0.9279, recall: 0.8686, relative_absolute_error: 0.7376, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3704, root_relative_squared_error: 0.7804, scimark_benchmark: 2018.529, usercpu_time_millis: 0.382, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.318,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8833, f_measure: 0.6487, kappa: 0.2292, kb_relative_information_score: 95.8292, mean_absolute_error: 0.3887, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8039, predictive_accuracy: 0.7205, prior_entropy: 0.9279, recall: 0.7205, relative_absolute_error: 0.8624, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4195, root_relative_squared_error: 0.8838, scimark_benchmark: 1854.2669, usercpu_time_millis: 1.645, usercpu_time_millis_testing: 0.248, usercpu_time_millis_training: 1.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7384, f_measure: 0.5327, kappa: 0.0191, kb_relative_information_score: 42.3974, mean_absolute_error: 0.4187, 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: 0.9289, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4466, root_relative_squared_error: 0.941, scimark_benchmark: 1756.1559, usercpu_time_millis: 0.634, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.566,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9987, f_measure: 0.9834, kappa: 0.9632, kb_relative_information_score: 441.3815, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9835, predictive_accuracy: 0.9834, prior_entropy: 0.9279, recall: 0.9834, relative_absolute_error: 0.3205, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.191, root_relative_squared_error: 0.4024, scimark_benchmark: 1857.4329, usercpu_time_millis: 2.071, usercpu_time_millis_testing: 0.244, usercpu_time_millis_training: 1.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9, f_measure: 0.7041, kappa: 0.34, kb_relative_information_score: 115.1865, mean_absolute_error: 0.3763, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8209, predictive_accuracy: 0.7537, prior_entropy: 0.9279, recall: 0.7537, relative_absolute_error: 0.8349, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4092, root_relative_squared_error: 0.862, scimark_benchmark: 1788.8763, usercpu_time_millis: 4.472, usercpu_time_millis_testing: 0.689, usercpu_time_millis_training: 3.783,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.9173, kappa: 0.8127, kb_relative_information_score: 265.2347, mean_absolute_error: 0.2809, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9278, predictive_accuracy: 0.9201, prior_entropy: 0.9279, recall: 0.9201, relative_absolute_error: 0.6231, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3194, root_relative_squared_error: 0.6729, scimark_benchmark: 1814.8629, usercpu_time_millis: 4.656, usercpu_time_millis_testing: 0.677, usercpu_time_millis_training: 3.979,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8422, f_measure: 0.6868, kappa: 0.3039, kb_relative_information_score: 93.1617, mean_absolute_error: 0.3875, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8088, predictive_accuracy: 0.7421, prior_entropy: 0.9279, recall: 0.7421, relative_absolute_error: 0.8598, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4204, root_relative_squared_error: 0.8857, scimark_benchmark: 1746.7542, usercpu_time_millis: 2.136, usercpu_time_millis_testing: 0.285, usercpu_time_millis_training: 1.851,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9412, f_measure: 0.8277, kappa: 0.6077, kb_relative_information_score: 162.1223, mean_absolute_error: 0.3473, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8683, predictive_accuracy: 0.8419, prior_entropy: 0.9279, recall: 0.8419, relative_absolute_error: 0.7705, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3828, root_relative_squared_error: 0.8065, scimark_benchmark: 1808.2502, usercpu_time_millis: 5.565, usercpu_time_millis_testing: 0.845, usercpu_time_millis_training: 4.72,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9486, f_measure: 0.7904, kappa: 0.5245, kb_relative_information_score: 154.1071, mean_absolute_error: 0.354, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8548, predictive_accuracy: 0.8136, prior_entropy: 0.9279, recall: 0.8136, relative_absolute_error: 0.7854, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3881, root_relative_squared_error: 0.8176, scimark_benchmark: 1823.0488, usercpu_time_millis: 3.317, usercpu_time_millis_testing: 0.493, usercpu_time_millis_training: 2.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9717, f_measure: 0.9019, kappa: 0.7779, kb_relative_information_score: 228.0307, mean_absolute_error: 0.3055, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.911, predictive_accuracy: 0.9052, prior_entropy: 0.9279, recall: 0.9052, relative_absolute_error: 0.6779, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.7208, scimark_benchmark: 1826.6597, usercpu_time_millis: 5.878, usercpu_time_millis_testing: 0.84, usercpu_time_millis_training: 5.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9508, f_measure: 0.7926, kappa: 0.5294, kb_relative_information_score: 153.6894, mean_absolute_error: 0.3547, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8558, predictive_accuracy: 0.8153, prior_entropy: 0.9279, recall: 0.8153, relative_absolute_error: 0.7869, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.388, root_relative_squared_error: 0.8174, scimark_benchmark: 1826.6597, usercpu_time_millis: 5.569, usercpu_time_millis_testing: 0.873, usercpu_time_millis_training: 4.696,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.918, f_measure: 0.8057, kappa: 0.5584, kb_relative_information_score: 143.532, mean_absolute_error: 0.3586, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.862, predictive_accuracy: 0.8253, prior_entropy: 0.9279, recall: 0.8253, relative_absolute_error: 0.7957, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3934, root_relative_squared_error: 0.8288, scimark_benchmark: 1800.8853, usercpu_time_millis: 3.299, usercpu_time_millis_testing: 0.475, usercpu_time_millis_training: 2.824,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8962, kappa: 0.7648, kb_relative_information_score: 233.0313, mean_absolute_error: 0.3024, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9078, predictive_accuracy: 0.9002, prior_entropy: 0.9279, recall: 0.9002, relative_absolute_error: 0.6709, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3394, root_relative_squared_error: 0.7151, scimark_benchmark: 1843.5395, usercpu_time_millis: 1.464, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 1.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9962, f_measure: 0.9649, kappa: 0.9216, kb_relative_information_score: 356.2884, mean_absolute_error: 0.2141, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9652, predictive_accuracy: 0.9651, prior_entropy: 0.9279, recall: 0.9651, relative_absolute_error: 0.4751, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2537, root_relative_squared_error: 0.5345, scimark_benchmark: 1755.0172, usercpu_time_millis: 0.454, usercpu_time_millis_testing: 0.065, usercpu_time_millis_training: 0.389,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9509, kappa: 0.8897, kb_relative_information_score: 305.3843, mean_absolute_error: 0.2529, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.954, predictive_accuracy: 0.9517, prior_entropy: 0.9279, recall: 0.9517, relative_absolute_error: 0.5611, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2909, root_relative_squared_error: 0.613, scimark_benchmark: 1843.0813, usercpu_time_millis: 2.002, usercpu_time_millis_testing: 0.253, usercpu_time_millis_training: 1.749,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9972, f_measure: 0.9631, kappa: 0.9174, kb_relative_information_score: 337.7324, mean_absolute_error: 0.2291, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9639, predictive_accuracy: 0.9634, prior_entropy: 0.9279, recall: 0.9634, relative_absolute_error: 0.5084, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2673, root_relative_squared_error: 0.5631, scimark_benchmark: 1737.2972, usercpu_time_millis: 4.314, usercpu_time_millis_testing: 0.615, usercpu_time_millis_training: 3.699,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7366, f_measure: 0.543, kappa: 0.0346, kb_relative_information_score: 45.1018, mean_absolute_error: 0.4166, 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: 0.9242, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9378, scimark_benchmark: 1751.3544, usercpu_time_millis: 1.976, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8116, f_measure: 0.5679, kappa: 0.078, kb_relative_information_score: 64.72, mean_absolute_error: 0.4063, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7594, predictive_accuracy: 0.6772, prior_entropy: 0.9279, recall: 0.6772, relative_absolute_error: 0.9014, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4351, root_relative_squared_error: 0.9166, scimark_benchmark: 1751.2522, usercpu_time_millis: 1.787, usercpu_time_millis_testing: 0.272, usercpu_time_millis_training: 1.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9791, f_measure: 0.8783, kappa: 0.723, kb_relative_information_score: 198.673, mean_absolute_error: 0.3275, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9023, predictive_accuracy: 0.8852, prior_entropy: 0.9279, recall: 0.8852, relative_absolute_error: 0.7267, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3613, root_relative_squared_error: 0.7612, scimark_benchmark: 1847.3472, usercpu_time_millis: 2.243, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 1.893,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.9751, kappa: 0.9447, kb_relative_information_score: 486.6572, mean_absolute_error: 0.1037, 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: 0.2302, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1573, root_relative_squared_error: 0.3315, scimark_benchmark: 1828.489, usercpu_time_millis: 2.424, usercpu_time_millis_testing: 0.352, usercpu_time_millis_training: 2.072,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9313, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 78.5407, mean_absolute_error: 0.404, 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: 0.8963, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4303, root_relative_squared_error: 0.9066, scimark_benchmark: 1751.2961, usercpu_time_millis: 0.744, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.653,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7989, f_measure: 0.5213, kb_relative_information_score: 36.0898, mean_absolute_error: 0.4267, 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: 0.9467, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4521, root_relative_squared_error: 0.9525, scimark_benchmark: 1758.8259, usercpu_time_millis: 0.83, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9638, f_measure: 0.8924, kappa: 0.7557, kb_relative_information_score: 207.6796, mean_absolute_error: 0.3193, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9061, predictive_accuracy: 0.8968, prior_entropy: 0.9279, recall: 0.8968, relative_absolute_error: 0.7085, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3552, root_relative_squared_error: 0.7483, scimark_benchmark: 1756.1874, usercpu_time_millis: 1.376, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 1.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7466, f_measure: 0.5213, kb_relative_information_score: 19.3631, mean_absolute_error: 0.4369, 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: 0.9694, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4612, root_relative_squared_error: 0.9716, scimark_benchmark: 1798.6311, usercpu_time_millis: 0.349, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9985, f_measure: 0.9733, kappa: 0.9406, kb_relative_information_score: 420.7245, mean_absolute_error: 0.1624, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9733, predictive_accuracy: 0.9734, prior_entropy: 0.9279, recall: 0.9734, relative_absolute_error: 0.3604, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2054, root_relative_squared_error: 0.4327, scimark_benchmark: 1752.3918, usercpu_time_millis: 6.681, usercpu_time_millis_testing: 0.96, usercpu_time_millis_training: 5.721,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9298, kappa: 0.8414, kb_relative_information_score: 271.852, mean_absolute_error: 0.2777, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9374, predictive_accuracy: 0.9318, prior_entropy: 0.9279, recall: 0.9318, relative_absolute_error: 0.6162, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3141, root_relative_squared_error: 0.6618, scimark_benchmark: 1855.7107, usercpu_time_millis: 3.015, usercpu_time_millis_testing: 0.48, usercpu_time_millis_training: 2.535,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9219, f_measure: 0.786, kappa: 0.5148, kb_relative_information_score: 143.1984, mean_absolute_error: 0.3585, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8528, predictive_accuracy: 0.8103, prior_entropy: 0.9279, recall: 0.8103, relative_absolute_error: 0.7954, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3935, root_relative_squared_error: 0.829, scimark_benchmark: 1854.7429, usercpu_time_millis: 2.92, usercpu_time_millis_testing: 0.503, usercpu_time_millis_training: 2.417,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9472, f_measure: 0.8742, kappa: 0.7142, kb_relative_information_score: 183.3605, mean_absolute_error: 0.3339, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8906, predictive_accuracy: 0.8802, prior_entropy: 0.9279, recall: 0.8802, relative_absolute_error: 0.7408, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3694, root_relative_squared_error: 0.7782, scimark_benchmark: 1838.6023, usercpu_time_millis: 2.99, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 2.525,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9916, f_measure: 0.9339, kappa: 0.8513, kb_relative_information_score: 293.3202, mean_absolute_error: 0.2604, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9371, predictive_accuracy: 0.9351, prior_entropy: 0.9279, recall: 0.9351, relative_absolute_error: 0.5777, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2994, root_relative_squared_error: 0.6308, scimark_benchmark: 1864.7294, usercpu_time_millis: 0.93, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 0.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9116, f_measure: 0.6962, kappa: 0.3238, kb_relative_information_score: 115.6344, mean_absolute_error: 0.3774, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8182, predictive_accuracy: 0.7488, prior_entropy: 0.9279, recall: 0.7488, relative_absolute_error: 0.8374, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4091, root_relative_squared_error: 0.862, scimark_benchmark: 1865.1205, usercpu_time_millis: 1.016, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9717, kappa: 0.9373, kb_relative_information_score: 425.5381, mean_absolute_error: 0.1571, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9718, predictive_accuracy: 0.9717, prior_entropy: 0.9279, recall: 0.9717, relative_absolute_error: 0.3485, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2049, root_relative_squared_error: 0.4317, scimark_benchmark: 1810.1529, usercpu_time_millis: 6.451, usercpu_time_millis_testing: 0.971, usercpu_time_millis_training: 5.48,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7841, f_measure: 0.5393, kappa: 0.0283, kb_relative_information_score: 56.3056, mean_absolute_error: 0.4106, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7208, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.911, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4394, root_relative_squared_error: 0.9258, scimark_benchmark: 1823.5602, usercpu_time_millis: 1.116, usercpu_time_millis_testing: 0.271, usercpu_time_millis_training: 0.845,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9405, f_measure: 0.7609, kappa: 0.46, kb_relative_information_score: 139.0324, mean_absolute_error: 0.3634, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.842, predictive_accuracy: 0.792, prior_entropy: 0.9279, recall: 0.792, relative_absolute_error: 0.8063, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3961, root_relative_squared_error: 0.8345, scimark_benchmark: 1837.5549, usercpu_time_millis: 4.535, usercpu_time_millis_testing: 0.776, usercpu_time_millis_training: 3.759,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9978, f_measure: 0.9749, kappa: 0.9442, kb_relative_information_score: 375.5125, mean_absolute_error: 0.2003, 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: 0.4444, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2378, root_relative_squared_error: 0.5011, scimark_benchmark: 1854.3496, usercpu_time_millis: 5.105, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 4.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9964, f_measure: 0.9681, kappa: 0.9288, kb_relative_information_score: 364.2147, mean_absolute_error: 0.2077, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9689, predictive_accuracy: 0.9684, prior_entropy: 0.9279, recall: 0.9684, relative_absolute_error: 0.4608, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2487, root_relative_squared_error: 0.524, scimark_benchmark: 1864.2071, usercpu_time_millis: 5.414, usercpu_time_millis_testing: 0.862, usercpu_time_millis_training: 4.552,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.997, f_measure: 0.9648, kappa: 0.9213, kb_relative_information_score: 341.3803, mean_absolute_error: 0.2262, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9655, predictive_accuracy: 0.9651, prior_entropy: 0.9279, recall: 0.9651, relative_absolute_error: 0.5018, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2646, root_relative_squared_error: 0.5575, scimark_benchmark: 1746.0413, usercpu_time_millis: 6.652, usercpu_time_millis_testing: 0.968, usercpu_time_millis_training: 5.684,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.941, f_measure: 0.8347, kappa: 0.6235, kb_relative_information_score: 169.3355, mean_absolute_error: 0.3424, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.868, predictive_accuracy: 0.8469, prior_entropy: 0.9279, recall: 0.8469, relative_absolute_error: 0.7597, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3783, root_relative_squared_error: 0.7971, scimark_benchmark: 1866.7459, usercpu_time_millis: 3.112, usercpu_time_millis_testing: 0.465, usercpu_time_millis_training: 2.647,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9667, f_measure: 0.839, kappa: 0.6334, kb_relative_information_score: 172.1738, mean_absolute_error: 0.3438, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8791, predictive_accuracy: 0.8519, prior_entropy: 0.9279, recall: 0.8519, relative_absolute_error: 0.7629, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3774, root_relative_squared_error: 0.7951, scimark_benchmark: 1865.6428, usercpu_time_millis: 6.2, usercpu_time_millis_testing: 1.032, usercpu_time_millis_training: 5.168,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8206, f_measure: 0.5213, kb_relative_information_score: 42.9645, mean_absolute_error: 0.4229, 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: 0.9382, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9451, scimark_benchmark: 1860.4615, usercpu_time_millis: 1.189, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 0.974,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9733, kappa: 0.9408, kb_relative_information_score: 492.1258, mean_absolute_error: 0.097, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9733, predictive_accuracy: 0.9734, prior_entropy: 0.9279, recall: 0.9734, relative_absolute_error: 0.2153, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1583, root_relative_squared_error: 0.3335, scimark_benchmark: 1860.9209, usercpu_time_millis: 0.762, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.66,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7653, f_measure: 0.5213, kb_relative_information_score: 32.5081, mean_absolute_error: 0.4281, 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: 0.9499, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9557, scimark_benchmark: 1822.6015, usercpu_time_millis: 2.888, usercpu_time_millis_testing: 0.611, usercpu_time_millis_training: 2.277,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9208, kappa: 0.8205, kb_relative_information_score: 247.6012, mean_absolute_error: 0.2964, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9314, predictive_accuracy: 0.9235, prior_entropy: 0.9279, recall: 0.9235, relative_absolute_error: 0.6576, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3306, root_relative_squared_error: 0.6965, scimark_benchmark: 1848.2539, usercpu_time_millis: 4.634, usercpu_time_millis_testing: 0.779, usercpu_time_millis_training: 3.855,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7314, f_measure: 0.5213, kb_relative_information_score: 20.9908, mean_absolute_error: 0.4353, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9659, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.46, root_relative_squared_error: 0.9692, scimark_benchmark: 1755.3268, usercpu_time_millis: 1.42, usercpu_time_millis_testing: 0.276, usercpu_time_millis_training: 1.144,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9363, f_measure: 0.8126, kappa: 0.5738, kb_relative_information_score: 153.92, mean_absolute_error: 0.3533, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8627, predictive_accuracy: 0.8303, prior_entropy: 0.9279, recall: 0.8303, relative_absolute_error: 0.7838, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3879, root_relative_squared_error: 0.8172, scimark_benchmark: 1840.581, usercpu_time_millis: 0.689, usercpu_time_millis_testing: 0.135, usercpu_time_millis_training: 0.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8824, f_measure: 0.5213, kb_relative_information_score: 65.1197, mean_absolute_error: 0.4105, 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: 0.9107, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4369, root_relative_squared_error: 0.9205, scimark_benchmark: 1861.3749, usercpu_time_millis: 2.647, usercpu_time_millis_testing: 0.424, usercpu_time_millis_training: 2.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8408, f_measure: 0.6949, kappa: 0.3202, kb_relative_information_score: 96.5808, mean_absolute_error: 0.385, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8118, predictive_accuracy: 0.7471, prior_entropy: 0.9279, recall: 0.7471, relative_absolute_error: 0.8543, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8815, scimark_benchmark: 1752.4403, usercpu_time_millis: 2.311, usercpu_time_millis_testing: 0.328, usercpu_time_millis_training: 1.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8232, f_measure: 0.5927, kappa: 0.1238, kb_relative_information_score: 73.9716, mean_absolute_error: 0.4002, 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: 0.888, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9071, scimark_benchmark: 1867.984, usercpu_time_millis: 2.828, usercpu_time_millis_testing: 0.494, usercpu_time_millis_training: 2.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9937, f_measure: 0.9208, kappa: 0.8205, kb_relative_information_score: 247.7655, mean_absolute_error: 0.2963, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9314, predictive_accuracy: 0.9235, prior_entropy: 0.9279, recall: 0.9235, relative_absolute_error: 0.6573, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3305, root_relative_squared_error: 0.6963, scimark_benchmark: 1825.211, usercpu_time_millis: 4.702, usercpu_time_millis_testing: 0.876, usercpu_time_millis_training: 3.826,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9543, f_measure: 0.8121, kappa: 0.5727, kb_relative_information_score: 159.6633, mean_absolute_error: 0.3504, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8651, predictive_accuracy: 0.8303, prior_entropy: 0.9279, recall: 0.8303, relative_absolute_error: 0.7773, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3846, root_relative_squared_error: 0.8104, scimark_benchmark: 1860.5298, usercpu_time_millis: 4.181, usercpu_time_millis_testing: 0.672, usercpu_time_millis_training: 3.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9957, f_measure: 0.9562, kappa: 0.9017, kb_relative_information_score: 314.7504, mean_absolute_error: 0.2461, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.958, predictive_accuracy: 0.9567, prior_entropy: 0.9279, recall: 0.9567, relative_absolute_error: 0.546, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2843, root_relative_squared_error: 0.5989, scimark_benchmark: 1837.0717, usercpu_time_millis: 1.583, usercpu_time_millis_testing: 0.18, usercpu_time_millis_training: 1.403,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.747, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 39.1375, mean_absolute_error: 0.4221, 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: 0.9366, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4488, root_relative_squared_error: 0.9455, scimark_benchmark: 1843.1261, usercpu_time_millis: 1.996, usercpu_time_millis_testing: 0.327, usercpu_time_millis_training: 1.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9389, f_measure: 0.8358, kappa: 0.6262, kb_relative_information_score: 169.0173, mean_absolute_error: 0.3428, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8729, predictive_accuracy: 0.8486, prior_entropy: 0.9279, recall: 0.8486, relative_absolute_error: 0.7606, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3789, root_relative_squared_error: 0.7982, scimark_benchmark: 1751.5974, usercpu_time_millis: 0.997, usercpu_time_millis_testing: 0.121, usercpu_time_millis_training: 0.876,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7334, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 30.4152, mean_absolute_error: 0.4278, 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: 0.9492, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9529, scimark_benchmark: 1753.7072, usercpu_time_millis: 2.248, usercpu_time_millis_testing: 0.36, usercpu_time_millis_training: 1.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9633, f_measure: 0.8184, kappa: 0.5869, kb_relative_information_score: 166.2542, mean_absolute_error: 0.3475, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8683, predictive_accuracy: 0.8353, prior_entropy: 0.9279, recall: 0.8353, relative_absolute_error: 0.7709, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.381, root_relative_squared_error: 0.8028, scimark_benchmark: 1864.6011, usercpu_time_millis: 6.035, usercpu_time_millis_testing: 1.038, usercpu_time_millis_training: 4.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8817, f_measure: 0.5213, kb_relative_information_score: 65.6463, mean_absolute_error: 0.4102, 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: 0.91, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9199, scimark_benchmark: 1876.6882, usercpu_time_millis: 1.682, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.445,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9767, kappa: 0.9484, kb_relative_information_score: 512.4511, mean_absolute_error: 0.0795, 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: 0.1763, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.14, root_relative_squared_error: 0.295, scimark_benchmark: 1869.1029, usercpu_time_millis: 2.328, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 2.061,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.993, f_measure: 0.9335, kappa: 0.8499, kb_relative_information_score: 288.3055, mean_absolute_error: 0.2647, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9394, predictive_accuracy: 0.9351, prior_entropy: 0.9279, recall: 0.9351, relative_absolute_error: 0.5874, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3036, root_relative_squared_error: 0.6396, scimark_benchmark: 1844.1885, usercpu_time_millis: 0.963, usercpu_time_millis_testing: 0.143, usercpu_time_millis_training: 0.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9378, f_measure: 0.859, kappa: 0.6792, kb_relative_information_score: 179.4067, mean_absolute_error: 0.3352, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8801, predictive_accuracy: 0.8669, prior_entropy: 0.9279, recall: 0.8669, relative_absolute_error: 0.7437, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.373, root_relative_squared_error: 0.7858, scimark_benchmark: 1752.841, usercpu_time_millis: 5.112, usercpu_time_millis_testing: 0.774, usercpu_time_millis_training: 4.338,

Metric:

Timeline

Plotting contribution timeline

Leaderboard

Rank Name Top Score Entries Highest rank

Note: The leaderboard ignores resubmissions of previous solutions, as well as parameter variations that do not improve performance.

Challenge

In supervised classification, you are given an input dataset in which instances are labeled with a certain class. The goal is to build a model that predicts the class for future unlabeled instances. The model is evaluated using a train-test procedure, e.g. cross-validation.

To make results by different users comparable, you are given the exact train-test folds to be used, and you need to return at least the predictions generated by your model for each of the test instances. OpenML will use these predictions to calculate a range of evaluation measures on the server.

You can also upload your own evaluation measures, provided that the code for doing so is available from the implementation used. For extremely large datasets, it may be infeasible to upload all predictions. In those cases, you need to compute and provide the evaluations yourself.

Optionally, you can upload the model trained on all the input data. There is no restriction on the file format, but please use a well-known format or PMML.

Given inputs

Expected outputs

evaluations A list of user-defined evaluations of the task as key-value pairs. KeyValue (optional)
model A file containing the model built on all the input data. File (optional)
predictions The desired output format Predictions (optional)

How to submit runs

Using your favorite machine learning environment

Download this task directly in your environment and automatically upload your results

OpenML bootcamp

From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs