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Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261558 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8984, f_measure: 0.8021, kappa: 0.561, kb_relative_information_score: 274.949, mean_absolute_error: 0.2427, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8022, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.5384, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3491, root_relative_squared_error: 0.7355, scimark_benchmark: 1786.1151, usercpu_time_millis: 1.181, usercpu_time_millis_testing: 0.254, usercpu_time_millis_training: 0.927,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8307, f_measure: 0.7246, kappa: 0.3815, kb_relative_information_score: 209.0407, mean_absolute_error: 0.2832, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7227, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.6283, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3933, root_relative_squared_error: 0.8287, scimark_benchmark: 1796.3174, usercpu_time_millis: 0.047, usercpu_time_millis_testing: 0.017, usercpu_time_millis_training: 0.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 471.1727, mean_absolute_error: 0.1234, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.2737, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1552, root_relative_squared_error: 0.3269, scimark_benchmark: 1804.5546, usercpu_time_millis: 7.292, usercpu_time_millis_testing: 0.79, usercpu_time_millis_training: 6.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5176, f_measure: 0.5213, kb_relative_information_score: -3.0807, mean_absolute_error: 0.4488, 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: 0.4739, root_relative_squared_error: 0.9985, scimark_benchmark: 1861.4411, usercpu_time_millis: 0.22, usercpu_time_millis_testing: 0.055, usercpu_time_millis_training: 0.165,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4972, f_measure: 0.5213, kb_relative_information_score: 0.5042, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1860.5278, usercpu_time_millis: 0.42, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 0.342,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.5213, kb_relative_information_score: -2.0636, 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: 0.998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9986, scimark_benchmark: 1734.6146, usercpu_time_millis: 0.69, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.98, kappa: 0.9556, kb_relative_information_score: 365.4583, mean_absolute_error: 0.208, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.9279, recall: 0.98, relative_absolute_error: 0.4615, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2465, root_relative_squared_error: 0.5193, scimark_benchmark: 1896.9599, usercpu_time_millis: 3.217, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 2.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7793, f_measure: 0.5213, kb_relative_information_score: 27.9852, mean_absolute_error: 0.4316, 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: 0.9577, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4563, root_relative_squared_error: 0.9614, scimark_benchmark: 1898.4234, usercpu_time_millis: 1.232, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5308, f_measure: 0.5213, kb_relative_information_score: -0.519, mean_absolute_error: 0.4475, 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: 0.9929, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9973, scimark_benchmark: 1860.4526, usercpu_time_millis: 0.712, usercpu_time_millis_testing: 0.198, usercpu_time_millis_training: 0.514,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9997, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 438.8925, mean_absolute_error: 0.1499, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9917, predictive_accuracy: 0.9917, prior_entropy: 0.9279, recall: 0.9917, relative_absolute_error: 0.3326, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.185, root_relative_squared_error: 0.3899, scimark_benchmark: 1861.372, usercpu_time_millis: 2.315, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 2.094,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9124, f_measure: 0.7633, kappa: 0.465, kb_relative_information_score: 138.4608, mean_absolute_error: 0.3615, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.843, predictive_accuracy: 0.7937, prior_entropy: 0.9279, recall: 0.7937, relative_absolute_error: 0.8021, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3969, root_relative_squared_error: 0.8363, scimark_benchmark: 1858.1798, usercpu_time_millis: 2.328, usercpu_time_millis_testing: 0.416, usercpu_time_millis_training: 1.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9934, kappa: 0.9853, kb_relative_information_score: 483.871, mean_absolute_error: 0.1107, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9934, predictive_accuracy: 0.9933, prior_entropy: 0.9279, recall: 0.9933, relative_absolute_error: 0.2457, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1459, root_relative_squared_error: 0.3073, scimark_benchmark: 1857.3304, usercpu_time_millis: 4.293, usercpu_time_millis_testing: 0.401, usercpu_time_millis_training: 3.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9211, f_measure: 0.7346, kappa: 0.4035, kb_relative_information_score: 131.4483, mean_absolute_error: 0.3675, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8317, predictive_accuracy: 0.7737, prior_entropy: 0.9279, recall: 0.7737, relative_absolute_error: 0.8153, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4011, root_relative_squared_error: 0.8452, scimark_benchmark: 1862.7302, usercpu_time_millis: 2.804, usercpu_time_millis_testing: 0.349, usercpu_time_millis_training: 2.455,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7993, f_measure: 0.6652, kappa: 0.2569, kb_relative_information_score: 84.4863, mean_absolute_error: 0.3916, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7752, predictive_accuracy: 0.7255, prior_entropy: 0.9279, recall: 0.7255, relative_absolute_error: 0.8689, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4277, root_relative_squared_error: 0.9011, scimark_benchmark: 1864.7294, usercpu_time_millis: 2.388, usercpu_time_millis_testing: 0.293, usercpu_time_millis_training: 2.095,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.985, kappa: 0.9665, kb_relative_information_score: 378.7188, mean_absolute_error: 0.1983, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9852, predictive_accuracy: 0.985, prior_entropy: 0.9279, recall: 0.985, relative_absolute_error: 0.44, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2364, root_relative_squared_error: 0.498, scimark_benchmark: 1756.5309, usercpu_time_millis: 7.479, usercpu_time_millis_testing: 0.814, usercpu_time_millis_training: 6.665,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6817, f_measure: 0.5213, kb_relative_information_score: 8.175, mean_absolute_error: 0.4445, 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: 0.9862, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4688, root_relative_squared_error: 0.9877, scimark_benchmark: 1998.7609, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 1.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8439, f_measure: 0.5689, kappa: 0.0813, kb_relative_information_score: 73.366, mean_absolute_error: 0.4018, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7843, predictive_accuracy: 0.6789, prior_entropy: 0.9279, recall: 0.6789, relative_absolute_error: 0.8914, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.431, root_relative_squared_error: 0.908, scimark_benchmark: 1881.5671, usercpu_time_millis: 2.336, usercpu_time_millis_testing: 0.32, usercpu_time_millis_training: 2.016,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 450.0924, mean_absolute_error: 0.1395, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9918, predictive_accuracy: 0.9917, prior_entropy: 0.9279, recall: 0.9917, relative_absolute_error: 0.3094, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1784, root_relative_squared_error: 0.376, scimark_benchmark: 1862.602, usercpu_time_millis: 0.559, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.5213, kb_relative_information_score: -3.3218, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9977, scimark_benchmark: 1735.7783, usercpu_time_millis: 0.695, usercpu_time_millis_testing: 0.133, usercpu_time_millis_training: 0.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7105, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: 29.5857, mean_absolute_error: 0.4291, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4316, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9521, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4562, root_relative_squared_error: 0.9612, scimark_benchmark: 1962.9098, usercpu_time_millis: 1.892, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 1.668,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9741, f_measure: 0.8609, kappa: 0.6833, kb_relative_information_score: 196.2739, mean_absolute_error: 0.3276, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8916, predictive_accuracy: 0.8702, prior_entropy: 0.9279, recall: 0.8702, relative_absolute_error: 0.7268, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3627, root_relative_squared_error: 0.7642, scimark_benchmark: 1828.4353, usercpu_time_millis: 2.358, usercpu_time_millis_testing: 0.252, usercpu_time_millis_training: 2.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.5213, kb_relative_information_score: -0.3668, 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: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1829.4413, usercpu_time_millis: 0.23, usercpu_time_millis_testing: 0.067, usercpu_time_millis_training: 0.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.98, kappa: 0.9555, kb_relative_information_score: 369.7965, mean_absolute_error: 0.205, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.9279, recall: 0.98, relative_absolute_error: 0.4549, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2427, root_relative_squared_error: 0.5114, scimark_benchmark: 1800.34, usercpu_time_millis: 7.453, usercpu_time_millis_testing: 0.784, usercpu_time_millis_training: 6.669,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9771, f_measure: 0.9094, kappa: 0.7955, kb_relative_information_score: 263.8181, mean_absolute_error: 0.2797, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9153, predictive_accuracy: 0.9118, prior_entropy: 0.9279, recall: 0.9118, relative_absolute_error: 0.6206, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3199, root_relative_squared_error: 0.6741, scimark_benchmark: 1768.7766, usercpu_time_millis: 3.259, usercpu_time_millis_testing: 0.363, usercpu_time_millis_training: 2.896,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8578, f_measure: 0.5213, kb_relative_information_score: 55.3878, mean_absolute_error: 0.4161, 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: 0.9231, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4418, root_relative_squared_error: 0.9309, scimark_benchmark: 1861.9574, usercpu_time_millis: 0.456, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 0.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4913, f_measure: 0.5213, kb_relative_information_score: 0.0779, 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: 2019.868, usercpu_time_millis: 0.123, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.087,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7154, f_measure: 0.5213, kb_relative_information_score: 23.9294, mean_absolute_error: 0.4328, 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: 0.9602, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4585, root_relative_squared_error: 0.966, scimark_benchmark: 1759.315, usercpu_time_millis: 2.166, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 1.872,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9581, f_measure: 0.5289, kappa: 0.0127, kb_relative_information_score: 89.7924, mean_absolute_error: 0.3985, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7762, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.8842, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4243, root_relative_squared_error: 0.894, scimark_benchmark: 1710.761, usercpu_time_millis: 1.528, usercpu_time_millis_testing: 0.538, usercpu_time_millis_training: 0.99,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6634, f_measure: 0.5213, kb_relative_information_score: 14.6794, mean_absolute_error: 0.4387, 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: 0.9734, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9782, scimark_benchmark: 1743.0184, usercpu_time_millis: 1.647, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1.411,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9965, f_measure: 0.9698, kappa: 0.9326, kb_relative_information_score: 313.9438, mean_absolute_error: 0.247, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9705, predictive_accuracy: 0.9701, prior_entropy: 0.9279, recall: 0.9701, relative_absolute_error: 0.5481, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2828, root_relative_squared_error: 0.5958, scimark_benchmark: 1726.774, usercpu_time_millis: 1.503, usercpu_time_millis_testing: 0.175, usercpu_time_millis_training: 1.328,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8199, f_measure: 0.5792, kappa: 0.0997, kb_relative_information_score: 69.8269, mean_absolute_error: 0.4036, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7865, predictive_accuracy: 0.6839, prior_entropy: 0.9279, recall: 0.6839, relative_absolute_error: 0.8954, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4334, root_relative_squared_error: 0.9132, scimark_benchmark: 1737.4387, usercpu_time_millis: 0.365, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.313,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7476, f_measure: 0.5213, kb_relative_information_score: 36.4552, mean_absolute_error: 0.4252, 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: 0.9434, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4518, root_relative_squared_error: 0.9519, scimark_benchmark: 1737.5313, usercpu_time_millis: 1.519, usercpu_time_millis_testing: 0.367, usercpu_time_millis_training: 1.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9187, f_measure: 0.802, kappa: 0.55, kb_relative_information_score: 145.5419, mean_absolute_error: 0.3564, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8573, predictive_accuracy: 0.822, prior_entropy: 0.9279, recall: 0.822, relative_absolute_error: 0.7906, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3913, root_relative_squared_error: 0.8243, scimark_benchmark: 1521.2181, usercpu_time_millis: 1.882, usercpu_time_millis_testing: 0.215, usercpu_time_millis_training: 1.667,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8982, f_measure: 0.7296, kappa: 0.3931, kb_relative_information_score: 120.7256, mean_absolute_error: 0.3731, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8298, predictive_accuracy: 0.7704, prior_entropy: 0.9279, recall: 0.7704, relative_absolute_error: 0.8278, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4065, root_relative_squared_error: 0.8565, scimark_benchmark: 1736.7318, usercpu_time_millis: 1.489, usercpu_time_millis_testing: 0.197, usercpu_time_millis_training: 1.292,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.0674, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1742.0574, usercpu_time_millis: 0.778, usercpu_time_millis_testing: 0.261, usercpu_time_millis_training: 0.517,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8527, f_measure: 0.5213, kb_relative_information_score: 56.8104, mean_absolute_error: 0.4146, 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: 0.9199, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.441, root_relative_squared_error: 0.9292, scimark_benchmark: 1738.4127, usercpu_time_millis: 0.352, usercpu_time_millis_testing: 0.051, usercpu_time_millis_training: 0.301,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.989, kb_relative_information_score: 455.2947, mean_absolute_error: 0.1357, 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: 0.301, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1721, root_relative_squared_error: 0.3625, scimark_benchmark: 1866.7459, usercpu_time_millis: 7.521, usercpu_time_millis_testing: 0.701, usercpu_time_millis_training: 6.82,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9084, f_measure: 0.6989, kappa: 0.3292, kb_relative_information_score: 120.7844, mean_absolute_error: 0.3747, 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: 0.8313, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4074, root_relative_squared_error: 0.8583, scimark_benchmark: 1755.0761, usercpu_time_millis: 3.244, usercpu_time_millis_testing: 0.417, usercpu_time_millis_training: 2.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5718, f_measure: 0.5213, kb_relative_information_score: 1.6041, mean_absolute_error: 0.4454, 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: 0.9882, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9913, scimark_benchmark: 1756.1657, usercpu_time_millis: 0.92, usercpu_time_millis_testing: 0.27, usercpu_time_millis_training: 0.65,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5538, f_measure: 0.5213, kb_relative_information_score: -1.4781, 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: 0.9974, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9981, scimark_benchmark: 1867.2711, usercpu_time_millis: 0.79, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 0.617,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9833, kappa: 0.9629, kb_relative_information_score: 375.9767, mean_absolute_error: 0.2, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9834, predictive_accuracy: 0.9834, prior_entropy: 0.9279, recall: 0.9834, relative_absolute_error: 0.4438, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2391, root_relative_squared_error: 0.5037, scimark_benchmark: 1766.9745, usercpu_time_millis: 6.678, usercpu_time_millis_testing: 0.687, usercpu_time_millis_training: 5.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7856, f_measure: 0.5365, kappa: 0.0254, kb_relative_information_score: 55.2934, mean_absolute_error: 0.4125, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7776, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.9153, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4411, root_relative_squared_error: 0.9293, scimark_benchmark: 1856.2273, usercpu_time_millis: 2.806, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 2.245,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8118, f_measure: 0.5213, kb_relative_information_score: 42.157, mean_absolute_error: 0.4232, 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: 0.9389, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4489, root_relative_squared_error: 0.9458, scimark_benchmark: 1855.7107, usercpu_time_millis: 2.066, usercpu_time_millis_testing: 0.323, usercpu_time_millis_training: 1.743,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6758, f_measure: 0.5213, kb_relative_information_score: 19.9231, mean_absolute_error: 0.4356, 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: 0.9664, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.462, root_relative_squared_error: 0.9734, scimark_benchmark: 1857.1493, usercpu_time_millis: 1.316, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 1.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.825, f_measure: 0.5475, kappa: 0.0442, kb_relative_information_score: 63.507, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7798, predictive_accuracy: 0.6689, prior_entropy: 0.9279, recall: 0.6689, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9199, scimark_benchmark: 1861.5089, usercpu_time_millis: 2.14, usercpu_time_millis_testing: 0.294, usercpu_time_millis_training: 1.846,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4952, f_measure: 0.5213, kb_relative_information_score: -0.2698, 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: 1860.8554, usercpu_time_millis: 1.101, usercpu_time_millis_testing: 0.186, usercpu_time_millis_training: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7564, f_measure: 0.5402, kappa: 0.0317, kb_relative_information_score: 46.8844, mean_absolute_error: 0.4169, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7783, predictive_accuracy: 0.6656, prior_entropy: 0.9279, recall: 0.6656, relative_absolute_error: 0.925, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4453, root_relative_squared_error: 0.9382, scimark_benchmark: 1856.7247, usercpu_time_millis: 0.619, usercpu_time_millis_testing: 0.207, usercpu_time_millis_training: 0.412,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9157, kappa: 0.8091, kb_relative_information_score: 252.8727, mean_absolute_error: 0.2896, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9255, predictive_accuracy: 0.9185, prior_entropy: 0.9279, recall: 0.9185, relative_absolute_error: 0.6426, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3273, root_relative_squared_error: 0.6895, scimark_benchmark: 1761.948, usercpu_time_millis: 1.38, usercpu_time_millis_testing: 0.152, usercpu_time_millis_training: 1.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8506, f_measure: 0.6398, kappa: 0.212, kb_relative_information_score: 87.8131, mean_absolute_error: 0.3925, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8014, predictive_accuracy: 0.7155, prior_entropy: 0.9279, recall: 0.7155, relative_absolute_error: 0.8708, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4238, root_relative_squared_error: 0.8929, scimark_benchmark: 1746.7007, usercpu_time_millis: 2.415, usercpu_time_millis_testing: 0.313, usercpu_time_millis_training: 2.102,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9924, f_measure: 0.9564, kappa: 0.9026, kb_relative_information_score: 318.9182, mean_absolute_error: 0.24, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.957, predictive_accuracy: 0.9567, prior_entropy: 0.9279, recall: 0.9567, relative_absolute_error: 0.5325, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2816, root_relative_squared_error: 0.5932, scimark_benchmark: 1848.8886, usercpu_time_millis: 0.137, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.091,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8251, f_measure: 0.5792, kappa: 0.0997, kb_relative_information_score: 72.1838, mean_absolute_error: 0.4017, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7865, predictive_accuracy: 0.6839, prior_entropy: 0.9279, recall: 0.6839, relative_absolute_error: 0.8913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4319, root_relative_squared_error: 0.9101, scimark_benchmark: 1846.9511, usercpu_time_millis: 0.943, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9248, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 79.3618, mean_absolute_error: 0.4036, 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: 0.8956, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4297, root_relative_squared_error: 0.9052, scimark_benchmark: 1846.4401, usercpu_time_millis: 0.608, usercpu_time_millis_testing: 0.249, usercpu_time_millis_training: 0.359,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8413, f_measure: 0.6632, kappa: 0.2575, kb_relative_information_score: 87.8646, mean_absolute_error: 0.3917, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.808, predictive_accuracy: 0.7288, prior_entropy: 0.9279, recall: 0.7288, relative_absolute_error: 0.8692, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.424, root_relative_squared_error: 0.8933, scimark_benchmark: 1781.9409, usercpu_time_millis: 4.177, usercpu_time_millis_testing: 0.516, usercpu_time_millis_training: 3.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9721, f_measure: 0.8706, kappa: 0.7054, kb_relative_information_score: 189.5304, mean_absolute_error: 0.3327, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8975, predictive_accuracy: 0.8785, prior_entropy: 0.9279, recall: 0.8785, relative_absolute_error: 0.7382, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3669, root_relative_squared_error: 0.7729, scimark_benchmark: 1780.1553, usercpu_time_millis: 4.422, usercpu_time_millis_testing: 0.707, usercpu_time_millis_training: 3.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.958, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 90.5046, mean_absolute_error: 0.3984, 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: 0.884, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4241, root_relative_squared_error: 0.8936, scimark_benchmark: 1780.6621, usercpu_time_millis: 2.386, usercpu_time_millis_testing: 0.35, usercpu_time_millis_training: 2.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8979, f_measure: 0.5213, kb_relative_information_score: 67.6486, mean_absolute_error: 0.4096, 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: 0.9089, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.9179, scimark_benchmark: 1762.9185, usercpu_time_millis: 2, usercpu_time_millis_testing: 0.305, usercpu_time_millis_training: 1.695,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.989, kb_relative_information_score: 446.9469, mean_absolute_error: 0.1432, 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: 0.3176, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1786, root_relative_squared_error: 0.3763, scimark_benchmark: 1860.4615, usercpu_time_millis: 7.12, usercpu_time_millis_testing: 0.681, usercpu_time_millis_training: 6.439,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1245, 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: 1716.4056, usercpu_time_millis: 0.571, usercpu_time_millis_testing: 0.123, usercpu_time_millis_training: 0.448,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1685, 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: 1742.0962, usercpu_time_millis: 1.061, usercpu_time_millis_testing: 0.317, usercpu_time_millis_training: 0.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7373, f_measure: 0.5213, kb_relative_information_score: 31.1145, mean_absolute_error: 0.4286, 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: 0.9509, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9581, scimark_benchmark: 1741.0817, usercpu_time_millis: 1.178, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8946, f_measure: 0.7346, kappa: 0.4035, kb_relative_information_score: 118.1388, mean_absolute_error: 0.3742, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8317, predictive_accuracy: 0.7737, prior_entropy: 0.9279, recall: 0.7737, relative_absolute_error: 0.8302, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4071, root_relative_squared_error: 0.8577, scimark_benchmark: 1857.269, usercpu_time_millis: 1.39, usercpu_time_millis_testing: 0.17, usercpu_time_millis_training: 1.22,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9781, f_measure: 0.9086, kappa: 0.793, kb_relative_information_score: 236.2175, mean_absolute_error: 0.3006, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9192, predictive_accuracy: 0.9118, prior_entropy: 0.9279, recall: 0.9118, relative_absolute_error: 0.667, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3366, root_relative_squared_error: 0.7092, scimark_benchmark: 2133.1383, usercpu_time_millis: 1.126, usercpu_time_millis_testing: 0.118, usercpu_time_millis_training: 1.008,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6657, f_measure: 0.5213, kb_relative_information_score: 17.2579, mean_absolute_error: 0.4371, 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: 0.9697, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4632, root_relative_squared_error: 0.9759, scimark_benchmark: 1729.9484, usercpu_time_millis: 1.919, usercpu_time_millis_testing: 0.319, usercpu_time_millis_training: 1.6,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9999, f_measure: 0.995, kappa: 0.989, kb_relative_information_score: 427.7217, mean_absolute_error: 0.1594, 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: 0.3537, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1957, root_relative_squared_error: 0.4124, scimark_benchmark: 1873.9387, usercpu_time_millis: 3.158, usercpu_time_millis_testing: 0.329, usercpu_time_millis_training: 2.829,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9834, kappa: 0.9632, kb_relative_information_score: 409.9154, mean_absolute_error: 0.173, 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: 0.3839, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2113, root_relative_squared_error: 0.4451, scimark_benchmark: 1868.7112, usercpu_time_millis: 4.303, usercpu_time_millis_testing: 0.414, usercpu_time_millis_training: 3.889,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9823, f_measure: 0.914, kappa: 0.8054, kb_relative_information_score: 234.0461, mean_absolute_error: 0.3021, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9233, predictive_accuracy: 0.9168, prior_entropy: 0.9279, recall: 0.9168, relative_absolute_error: 0.6702, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.337, root_relative_squared_error: 0.7101, scimark_benchmark: 1874.5882, usercpu_time_millis: 3.118, usercpu_time_millis_testing: 0.348, usercpu_time_millis_training: 2.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9592, f_measure: 0.8712, kappa: 0.7069, kb_relative_information_score: 193.7791, mean_absolute_error: 0.3272, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8944, predictive_accuracy: 0.8785, prior_entropy: 0.9279, recall: 0.8785, relative_absolute_error: 0.726, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3638, root_relative_squared_error: 0.7666, scimark_benchmark: 1818.9844, usercpu_time_millis: 2.911, usercpu_time_millis_testing: 0.347, usercpu_time_millis_training: 2.564,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9789, f_measure: 0.8932, kappa: 0.7581, kb_relative_information_score: 230.8649, mean_absolute_error: 0.3033, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9024, predictive_accuracy: 0.8968, prior_entropy: 0.9279, recall: 0.8968, relative_absolute_error: 0.6728, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3399, root_relative_squared_error: 0.7161, scimark_benchmark: 1870.2804, usercpu_time_millis: 1.764, usercpu_time_millis_testing: 0.206, usercpu_time_millis_training: 1.558,

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