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Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261942 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9927, f_measure: 0.919, kappa: 0.8164, kb_relative_information_score: 238.4177, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9301, predictive_accuracy: 0.9218, prior_entropy: 0.9279, recall: 0.9218, relative_absolute_error: 0.6704, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3357, root_relative_squared_error: 0.7073, scimark_benchmark: 1137.3098, usercpu_time_millis: 1.725, usercpu_time_millis_testing: 0.389, usercpu_time_millis_training: 1.336,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9797, f_measure: 0.9122, kappa: 0.8013, kb_relative_information_score: 233.5503, mean_absolute_error: 0.3032, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9219, predictive_accuracy: 0.9151, prior_entropy: 0.9279, recall: 0.9151, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3388, root_relative_squared_error: 0.7139, scimark_benchmark: 1867.725, usercpu_time_millis: 5.368, usercpu_time_millis_testing: 0.851, usercpu_time_millis_training: 4.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4853, f_measure: 0.5213, kb_relative_information_score: -5.9154, 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: 0.9994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0016, scimark_benchmark: 1139.8468, usercpu_time_millis: 0.174, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 0.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9487, f_measure: 0.8635, kappa: 0.6893, kb_relative_information_score: 184.8973, mean_absolute_error: 0.3325, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8895, predictive_accuracy: 0.8719, prior_entropy: 0.9279, recall: 0.8719, relative_absolute_error: 0.7378, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3698, root_relative_squared_error: 0.7792, scimark_benchmark: 1865.4271, usercpu_time_millis: 4.57, usercpu_time_millis_testing: 0.658, usercpu_time_millis_training: 3.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9234, f_measure: 0.8383, kappa: 0.6317, kb_relative_information_score: 161.0224, mean_absolute_error: 0.3472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8722, predictive_accuracy: 0.8503, prior_entropy: 0.9279, recall: 0.8503, relative_absolute_error: 0.7704, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3835, root_relative_squared_error: 0.8081, scimark_benchmark: 1869.6309, usercpu_time_millis: 4.617, usercpu_time_millis_testing: 0.732, usercpu_time_millis_training: 3.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9666, f_measure: 0.8798, kappa: 0.7271, kb_relative_information_score: 208.0256, mean_absolute_error: 0.3184, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8946, predictive_accuracy: 0.8852, prior_entropy: 0.9279, recall: 0.8852, relative_absolute_error: 0.7064, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3544, root_relative_squared_error: 0.7466, scimark_benchmark: 1874.977, usercpu_time_millis: 4.451, usercpu_time_millis_testing: 0.675, usercpu_time_millis_training: 3.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8338, f_measure: 0.7053, kappa: 0.3354, kb_relative_information_score: 111.1965, mean_absolute_error: 0.3741, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7697, predictive_accuracy: 0.7454, prior_entropy: 0.9279, recall: 0.7454, relative_absolute_error: 0.8299, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4148, root_relative_squared_error: 0.8739, scimark_benchmark: 1871.5019, usercpu_time_millis: 2.136, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 1.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8877, kappa: 0.7447, kb_relative_information_score: 201.6815, mean_absolute_error: 0.3237, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9084, predictive_accuracy: 0.8935, prior_entropy: 0.9279, recall: 0.8935, relative_absolute_error: 0.7181, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3586, root_relative_squared_error: 0.7556, scimark_benchmark: 1877.8658, usercpu_time_millis: 5.382, usercpu_time_millis_testing: 0.87, usercpu_time_millis_training: 4.512,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.785, f_measure: 0.6265, kappa: 0.1854, kb_relative_information_score: 67.6046, mean_absolute_error: 0.4027, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7872, predictive_accuracy: 0.7072, prior_entropy: 0.9279, recall: 0.7072, relative_absolute_error: 0.8934, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4341, root_relative_squared_error: 0.9146, scimark_benchmark: 1872.4881, usercpu_time_millis: 2.864, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 2.464,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7677, f_measure: 0.6121, kappa: 0.1596, kb_relative_information_score: 58.3769, mean_absolute_error: 0.408, 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: 0.9052, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9216, scimark_benchmark: 1872.0458, usercpu_time_millis: 2.718, usercpu_time_millis_testing: 0.386, usercpu_time_millis_training: 2.332,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8901, f_measure: 0.6855, kappa: 0.3019, kb_relative_information_score: 107.1324, mean_absolute_error: 0.3821, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8148, predictive_accuracy: 0.7421, prior_entropy: 0.9279, recall: 0.7421, relative_absolute_error: 0.8477, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4145, root_relative_squared_error: 0.8732, scimark_benchmark: 1874.5188, usercpu_time_millis: 2.513, usercpu_time_millis_testing: 0.394, usercpu_time_millis_training: 2.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6754, f_measure: 0.5213, kb_relative_information_score: 21.5183, mean_absolute_error: 0.4343, 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: 0.9636, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9721, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.289, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 0.14,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4922, f_measure: 0.5213, kb_relative_information_score: -0.105, 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: 1873.4078, usercpu_time_millis: 0.47, usercpu_time_millis_testing: 0.105, usercpu_time_millis_training: 0.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8244, f_measure: 0.5439, kappa: 0.0379, kb_relative_information_score: 63.4704, mean_absolute_error: 0.4082, 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: 0.9057, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4367, root_relative_squared_error: 0.9202, scimark_benchmark: 1874.977, usercpu_time_millis: 2.89, usercpu_time_millis_testing: 0.438, usercpu_time_millis_training: 2.452,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5107, f_measure: 0.5213, kb_relative_information_score: -3.0937, 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: 0.4745, root_relative_squared_error: 0.9998, scimark_benchmark: 1874.9909, usercpu_time_millis: 0.385, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 0.321,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8483, f_measure: 0.6215, kappa: 0.1772, kb_relative_information_score: 82.262, mean_absolute_error: 0.3963, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7966, predictive_accuracy: 0.7055, prior_entropy: 0.9279, recall: 0.7055, relative_absolute_error: 0.8793, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4272, root_relative_squared_error: 0.9001, scimark_benchmark: 1877.2162, usercpu_time_millis: 1.1, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 0.919,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6531, f_measure: 0.5213, kb_relative_information_score: 20.5928, mean_absolute_error: 0.434, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9629, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4625, root_relative_squared_error: 0.9743, scimark_benchmark: 1875.903, usercpu_time_millis: 0.719, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4938, f_measure: 0.5213, kb_relative_information_score: 0.3034, 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: 0.9994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1866.8908, usercpu_time_millis: 0.685, usercpu_time_millis_testing: 0.094, usercpu_time_millis_training: 0.591,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4937, f_measure: 0.5213, kb_relative_information_score: 0.079, 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: 1876.6882, usercpu_time_millis: 1.188, usercpu_time_millis_testing: 0.217, usercpu_time_millis_training: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9336, f_measure: 0.8488, kappa: 0.656, kb_relative_information_score: 179.8662, mean_absolute_error: 0.335, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8672, predictive_accuracy: 0.8569, prior_entropy: 0.9279, recall: 0.8569, relative_absolute_error: 0.7433, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3736, root_relative_squared_error: 0.787, scimark_benchmark: 1874.977, usercpu_time_millis: 0.132, usercpu_time_millis_testing: 0.026, usercpu_time_millis_training: 0.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6895, f_measure: 0.5322, kappa: 0.0088, kb_relative_information_score: 31.6882, mean_absolute_error: 0.4271, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5853, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9477, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4564, root_relative_squared_error: 0.9616, scimark_benchmark: 1877.2162, usercpu_time_millis: 1.639, usercpu_time_millis_testing: 0.229, usercpu_time_millis_training: 1.41,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9853, f_measure: 0.9158, kappa: 0.8095, kb_relative_information_score: 254.6766, mean_absolute_error: 0.2874, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9247, predictive_accuracy: 0.9185, prior_entropy: 0.9279, recall: 0.9185, relative_absolute_error: 0.6377, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3254, root_relative_squared_error: 0.6856, scimark_benchmark: 1863.9794, usercpu_time_millis: 0.527, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8246, f_measure: 0.6562, kappa: 0.2427, kb_relative_information_score: 83.44, mean_absolute_error: 0.3939, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7978, predictive_accuracy: 0.7238, prior_entropy: 0.9279, recall: 0.7238, relative_absolute_error: 0.874, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4261, root_relative_squared_error: 0.8978, scimark_benchmark: 1749.9166, usercpu_time_millis: 1.712, usercpu_time_millis_testing: 0.258, usercpu_time_millis_training: 1.454,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5433, f_measure: 0.5213, kb_relative_information_score: 0.5565, mean_absolute_error: 0.4474, 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: 0.9927, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9961, scimark_benchmark: 1749.366, usercpu_time_millis: 1.946, usercpu_time_millis_testing: 0.37, usercpu_time_millis_training: 1.576,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5447, f_measure: 0.5213, kb_relative_information_score: -3.5812, 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: 0.4735, root_relative_squared_error: 0.9976, scimark_benchmark: 1878.1423, usercpu_time_millis: 0.83, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 0.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1331, 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: 1876.6882, usercpu_time_millis: 0.435, usercpu_time_millis_testing: 0.102, usercpu_time_millis_training: 0.333,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7742, f_measure: 0.5679, kappa: 0.078, kb_relative_information_score: 50.8337, mean_absolute_error: 0.4139, 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: 0.9182, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9274, scimark_benchmark: 1876.6882, usercpu_time_millis: 0.71, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.624,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9884, kappa: 0.9742, kb_relative_information_score: 404.2679, mean_absolute_error: 0.1787, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9884, predictive_accuracy: 0.9884, prior_entropy: 0.9279, recall: 0.9884, relative_absolute_error: 0.3965, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2145, root_relative_squared_error: 0.4519, scimark_benchmark: 1868.1196, usercpu_time_millis: 7.284, usercpu_time_millis_testing: 0.976, usercpu_time_millis_training: 6.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9967, kappa: 0.9926, kb_relative_information_score: 488.4593, mean_absolute_error: 0.1071, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9967, predictive_accuracy: 0.9967, prior_entropy: 0.9279, recall: 0.9967, relative_absolute_error: 0.2376, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1399, root_relative_squared_error: 0.2946, scimark_benchmark: 1917.9524, usercpu_time_millis: 6.768, usercpu_time_millis_testing: 0.773, usercpu_time_millis_training: 5.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9684, f_measure: 0.8471, kappa: 0.6517, kb_relative_information_score: 179.8271, mean_absolute_error: 0.3387, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8836, predictive_accuracy: 0.8586, prior_entropy: 0.9279, recall: 0.8586, relative_absolute_error: 0.7515, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3721, root_relative_squared_error: 0.7839, scimark_benchmark: 1856.5802, usercpu_time_millis: 4.894, usercpu_time_millis_testing: 0.811, usercpu_time_millis_training: 4.083,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9654, f_measure: 0.8451, kappa: 0.6472, kb_relative_information_score: 180.1277, mean_absolute_error: 0.3378, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8825, predictive_accuracy: 0.8569, prior_entropy: 0.9279, recall: 0.8569, relative_absolute_error: 0.7495, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3719, root_relative_squared_error: 0.7835, scimark_benchmark: 1870.4545, usercpu_time_millis: 4.545, usercpu_time_millis_testing: 0.931, usercpu_time_millis_training: 3.614,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9912, f_measure: 0.9357, kappa: 0.8556, kb_relative_information_score: 320.9324, mean_absolute_error: 0.2396, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9382, predictive_accuracy: 0.9368, prior_entropy: 0.9279, recall: 0.9368, relative_absolute_error: 0.5315, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2801, root_relative_squared_error: 0.5901, scimark_benchmark: 1867.984, usercpu_time_millis: 3.343, usercpu_time_millis_testing: 0.421, usercpu_time_millis_training: 2.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7789, f_measure: 0.5393, kappa: 0.0283, kb_relative_information_score: 54.2918, mean_absolute_error: 0.4129, 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: 0.9161, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4416, root_relative_squared_error: 0.9303, scimark_benchmark: 1873.019, usercpu_time_millis: 2.888, usercpu_time_millis_testing: 0.474, usercpu_time_millis_training: 2.414,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9979, f_measure: 0.9664, kappa: 0.9249, kb_relative_information_score: 330.0205, mean_absolute_error: 0.2353, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9673, predictive_accuracy: 0.9667, prior_entropy: 0.9279, recall: 0.9667, relative_absolute_error: 0.5221, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2733, root_relative_squared_error: 0.5758, scimark_benchmark: 1867.1999, usercpu_time_millis: 8.158, usercpu_time_millis_testing: 1.27, usercpu_time_millis_training: 6.888,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9131, f_measure: 0.5213, kb_relative_information_score: 70.3516, mean_absolute_error: 0.4084, 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: 0.9061, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4344, root_relative_squared_error: 0.9152, scimark_benchmark: 1875.3104, usercpu_time_millis: 3.755, usercpu_time_millis_testing: 0.813, usercpu_time_millis_training: 2.942,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, f_measure: 0.5213, kb_relative_information_score: -4.1157, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9981, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.827, usercpu_time_millis_testing: 0.179, usercpu_time_millis_training: 0.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5213, kb_relative_information_score: 0.3279, 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: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1870.9768, usercpu_time_millis: 0.375, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.305,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.5213, kb_relative_information_score: 0.0361, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1873.4078, usercpu_time_millis: 0.951, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9032, f_measure: 0.6909, kappa: 0.3129, kb_relative_information_score: 106.4816, mean_absolute_error: 0.3822, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8165, predictive_accuracy: 0.7454, prior_entropy: 0.9279, recall: 0.7454, relative_absolute_error: 0.848, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4121, root_relative_squared_error: 0.8683, scimark_benchmark: 1876.3041, usercpu_time_millis: 0.658, usercpu_time_millis_testing: 0.097, usercpu_time_millis_training: 0.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5622, f_measure: 0.5213, kb_relative_information_score: 0.9161, 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: 0.9934, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4724, root_relative_squared_error: 0.9952, scimark_benchmark: 1872.0458, usercpu_time_millis: 0.824, usercpu_time_millis_testing: 0.162, usercpu_time_millis_training: 0.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8546, f_measure: 0.7086, kappa: 0.3456, kb_relative_information_score: 111.3035, mean_absolute_error: 0.3762, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7935, predictive_accuracy: 0.7521, prior_entropy: 0.9279, recall: 0.7521, relative_absolute_error: 0.8346, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4118, root_relative_squared_error: 0.8675, scimark_benchmark: 1864.4785, usercpu_time_millis: 0.695, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.633,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.928, f_measure: 0.5213, kb_relative_information_score: 78.4734, mean_absolute_error: 0.404, 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: 0.8963, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4302, root_relative_squared_error: 0.9064, scimark_benchmark: 1860.2646, usercpu_time_millis: 3.001, usercpu_time_millis_testing: 0.552, usercpu_time_millis_training: 2.449,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5166, f_measure: 0.5213, kb_relative_information_score: -1.7284, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.999, scimark_benchmark: 1849.3173, usercpu_time_millis: 0.804, usercpu_time_millis_testing: 0.116, usercpu_time_millis_training: 0.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6969, f_measure: 0.5213, kb_relative_information_score: 23.2565, mean_absolute_error: 0.4337, 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: 0.9622, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9686, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.992, usercpu_time_millis_testing: 0.165, usercpu_time_millis_training: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5696, f_measure: 0.5213, kb_relative_information_score: 3.4029, mean_absolute_error: 0.4458, 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: 0.9891, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4712, root_relative_squared_error: 0.9927, scimark_benchmark: 1868.8974, usercpu_time_millis: 0.885, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.732,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7998, f_measure: 0.5213, kb_relative_information_score: 36.9946, mean_absolute_error: 0.4262, 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: 0.9455, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4511, root_relative_squared_error: 0.9504, scimark_benchmark: 1871.2001, usercpu_time_millis: 1.842, usercpu_time_millis_testing: 0.281, usercpu_time_millis_training: 1.561,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9297, f_measure: 0.7618, kappa: 0.4614, kb_relative_information_score: 138.7642, mean_absolute_error: 0.3633, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8385, predictive_accuracy: 0.792, prior_entropy: 0.9279, recall: 0.792, relative_absolute_error: 0.806, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3967, root_relative_squared_error: 0.8357, scimark_benchmark: 1907.0731, usercpu_time_millis: 0.408, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.348,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9808, f_measure: 0.8671, kappa: 0.6974, kb_relative_information_score: 205.1792, mean_absolute_error: 0.3228, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8935, predictive_accuracy: 0.8752, prior_entropy: 0.9279, recall: 0.8752, relative_absolute_error: 0.7161, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3569, root_relative_squared_error: 0.7519, scimark_benchmark: 1867.725, usercpu_time_millis: 3.803, usercpu_time_millis_testing: 0.616, usercpu_time_millis_training: 3.187,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9098, f_measure: 0.8085, kappa: 0.5641, kb_relative_information_score: 146.939, mean_absolute_error: 0.3549, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8504, predictive_accuracy: 0.8253, prior_entropy: 0.9279, recall: 0.8253, relative_absolute_error: 0.7874, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3912, root_relative_squared_error: 0.8242, scimark_benchmark: 1756.8449, usercpu_time_millis: 0.489, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8197, f_measure: 0.6787, kappa: 0.2874, kb_relative_information_score: 88.3252, mean_absolute_error: 0.3901, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8059, predictive_accuracy: 0.7371, prior_entropy: 0.9279, recall: 0.7371, relative_absolute_error: 0.8655, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4249, root_relative_squared_error: 0.8952, scimark_benchmark: 1868.6447, usercpu_time_millis: 0.764, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 0.567,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8084, f_measure: 0.6663, kappa: 0.2617, kb_relative_information_score: 78.0833, mean_absolute_error: 0.3961, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7944, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.8788, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.428, root_relative_squared_error: 0.9018, scimark_benchmark: 1745.1394, usercpu_time_millis: 2.81, usercpu_time_millis_testing: 0.449, usercpu_time_millis_training: 2.361,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.989, kb_relative_information_score: 431.3482, mean_absolute_error: 0.1558, 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: 0.3456, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1934, root_relative_squared_error: 0.4074, scimark_benchmark: 1873.4078, usercpu_time_millis: 8.363, usercpu_time_millis_testing: 1.149, usercpu_time_millis_training: 7.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9812, f_measure: 0.9244, kappa: 0.8309, kb_relative_information_score: 328.8286, mean_absolute_error: 0.2276, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.925, predictive_accuracy: 0.9251, prior_entropy: 0.9279, recall: 0.9251, relative_absolute_error: 0.5049, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2804, root_relative_squared_error: 0.5907, scimark_benchmark: 1881.0567, usercpu_time_millis: 1.275, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.137,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4927, f_measure: 0.5213, kb_relative_information_score: 0.0545, 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: 1.0001, scimark_benchmark: 1875.3104, usercpu_time_millis: 0.144, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7302, f_measure: 0.5213, kb_relative_information_score: 30.8653, mean_absolute_error: 0.4283, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9503, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9588, scimark_benchmark: 1870.932, usercpu_time_millis: 0.08, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.5213, kb_relative_information_score: -0.0975, 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: 1878.3273, usercpu_time_millis: 0.292, usercpu_time_millis_testing: 0.14, usercpu_time_millis_training: 0.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.5213, kb_relative_information_score: -0.5987, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1735.4752, usercpu_time_millis: 0.3, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.229,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5213, f_measure: 0.5213, kb_relative_information_score: -3.8434, mean_absolute_error: 0.4496, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9975, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9992, scimark_benchmark: 1872.4216, usercpu_time_millis: 1.27, usercpu_time_millis_testing: 0.322, usercpu_time_millis_training: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.98, kappa: 0.9554, kb_relative_information_score: 351.7738, mean_absolute_error: 0.22, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9801, predictive_accuracy: 0.98, prior_entropy: 0.9279, recall: 0.98, relative_absolute_error: 0.4882, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2561, root_relative_squared_error: 0.5395, scimark_benchmark: 1869.6247, usercpu_time_millis: 4.39, usercpu_time_millis_testing: 0.638, usercpu_time_millis_training: 3.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8573, kappa: 0.6751, kb_relative_information_score: 189.0132, mean_absolute_error: 0.333, 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: 0.7389, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3678, root_relative_squared_error: 0.775, scimark_benchmark: 1138.7882, usercpu_time_millis: 1.429, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 1.256,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.8983, kappa: 0.7695, kb_relative_information_score: 233.7243, mean_absolute_error: 0.3019, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9083, predictive_accuracy: 0.9018, prior_entropy: 0.9279, recall: 0.9018, relative_absolute_error: 0.6699, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3384, root_relative_squared_error: 0.7129, scimark_benchmark: 1868.7188, usercpu_time_millis: 3.12, usercpu_time_millis_testing: 0.423, usercpu_time_millis_training: 2.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7977, f_measure: 0.6735, kappa: 0.2707, kb_relative_information_score: 91.593, mean_absolute_error: 0.3857, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7603, predictive_accuracy: 0.7271, prior_entropy: 0.9279, recall: 0.7271, relative_absolute_error: 0.8557, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4248, root_relative_squared_error: 0.8951, scimark_benchmark: 1871.4349, usercpu_time_millis: 3.174, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 2.716,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8679, f_measure: 0.5213, kb_relative_information_score: 58.0991, mean_absolute_error: 0.4145, 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: 0.9196, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4407, root_relative_squared_error: 0.9285, scimark_benchmark: 1874.6729, usercpu_time_millis: 1.725, usercpu_time_millis_testing: 0.282, usercpu_time_millis_training: 1.443,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9981, f_measure: 0.9766, kappa: 0.9479, kb_relative_information_score: 385.109, mean_absolute_error: 0.1928, 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: 0.4277, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2302, root_relative_squared_error: 0.4851, scimark_benchmark: 1868.2213, usercpu_time_millis: 4.488, usercpu_time_millis_testing: 0.562, usercpu_time_millis_training: 3.926,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8913, f_measure: 0.5213, kb_relative_information_score: 64.2864, mean_absolute_error: 0.4114, 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: 0.9127, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4374, root_relative_squared_error: 0.9215, scimark_benchmark: 1874.977, usercpu_time_millis: 2.88, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 2.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7578, f_measure: 0.5213, kb_relative_information_score: 21.007, mean_absolute_error: 0.4361, 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: 0.9676, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4602, root_relative_squared_error: 0.9696, scimark_benchmark: 1864.6227, usercpu_time_millis: 0.712, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 0.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5251, f_measure: 0.5213, kb_relative_information_score: -3.8068, 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: 0.9974, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.999, scimark_benchmark: 1872.7058, usercpu_time_millis: 0.78, usercpu_time_millis_testing: 0.104, usercpu_time_millis_training: 0.676,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8219, f_measure: 0.6648, kappa: 0.2596, kb_relative_information_score: 83.6331, mean_absolute_error: 0.3929, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8009, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.8717, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4252, root_relative_squared_error: 0.8958, scimark_benchmark: 1865.1877, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 1.144,

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