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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: 0.517, f_measure: 0.5213, kb_relative_information_score: -4.9736, mean_absolute_error: 0.4497, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9978, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9996, scimark_benchmark: 1874.0573, usercpu_time_millis: 0.588, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.527,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9397, f_measure: 0.843, kappa: 0.6427, kb_relative_information_score: 176.5809, mean_absolute_error: 0.3372, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8631, predictive_accuracy: 0.8519, prior_entropy: 0.9279, recall: 0.8519, relative_absolute_error: 0.7481, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3733, root_relative_squared_error: 0.7866, scimark_benchmark: 1872.4216, usercpu_time_millis: 2.148, usercpu_time_millis_testing: 0.298, usercpu_time_millis_training: 1.85,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9817, f_measure: 0.9103, kappa: 0.7966, kb_relative_information_score: 248.5954, mean_absolute_error: 0.2913, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9215, predictive_accuracy: 0.9135, prior_entropy: 0.9279, recall: 0.9135, relative_absolute_error: 0.6463, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3299, root_relative_squared_error: 0.6951, scimark_benchmark: 1873.4078, usercpu_time_millis: 1.549, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 1.239,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7064, f_measure: 0.5561, kappa: 0.049, kb_relative_information_score: 39.9144, mean_absolute_error: 0.4216, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6596, predictive_accuracy: 0.6656, prior_entropy: 0.9279, recall: 0.6656, relative_absolute_error: 0.9354, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9529, scimark_benchmark: 1872.4216, usercpu_time_millis: 1.72, usercpu_time_millis_testing: 0.288, usercpu_time_millis_training: 1.432,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.728, f_measure: 0.5213, kb_relative_information_score: 32.5613, mean_absolute_error: 0.4275, 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: 0.9486, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4543, root_relative_squared_error: 0.9571, scimark_benchmark: 1868.6447, usercpu_time_millis: 2.512, usercpu_time_millis_testing: 0.364, usercpu_time_millis_training: 2.148,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.835, f_measure: 0.5583, kappa: 0.0629, kb_relative_information_score: 68.4988, mean_absolute_error: 0.4052, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.782, predictive_accuracy: 0.6739, prior_entropy: 0.9279, recall: 0.6739, relative_absolute_error: 0.8989, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4339, root_relative_squared_error: 0.9142, scimark_benchmark: 1876.6882, usercpu_time_millis: 1.172, usercpu_time_millis_testing: 0.189, usercpu_time_millis_training: 0.983,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6488, f_measure: 0.5213, kb_relative_information_score: 5.4361, mean_absolute_error: 0.4457, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9889, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4697, root_relative_squared_error: 0.9896, scimark_benchmark: 1871.4349, usercpu_time_millis: 0.394, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 0.317,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5504, f_measure: 0.5213, kb_relative_information_score: -1.1551, mean_absolute_error: 0.4472, 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: 0.9921, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4722, root_relative_squared_error: 0.9949, scimark_benchmark: 1873.3076, usercpu_time_millis: 1.179, usercpu_time_millis_testing: 0.31, usercpu_time_millis_training: 0.869,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.496, f_measure: 0.5213, kb_relative_information_score: 0.2195, 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: 1869.1029, usercpu_time_millis: 1.053, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.9,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5074, f_measure: 0.5213, kb_relative_information_score: -5.215, 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: 0.4748, root_relative_squared_error: 1.0003, scimark_benchmark: 1876.23, usercpu_time_millis: 1.555, usercpu_time_millis_testing: 0.236, usercpu_time_millis_training: 1.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5319, f_measure: 0.5213, kb_relative_information_score: -1.5919, mean_absolute_error: 0.4478, 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: 0.9936, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9972, scimark_benchmark: 1868.6447, usercpu_time_millis: 1.041, usercpu_time_millis_testing: 0.173, usercpu_time_millis_training: 0.868,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5365, f_measure: 0.5213, kb_relative_information_score: -4.5586, 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: 0.4737, root_relative_squared_error: 0.998, scimark_benchmark: 1874.3338, usercpu_time_millis: 0.264, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 0.218,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.858, f_measure: 0.666, kappa: 0.2631, kb_relative_information_score: 91.1268, mean_absolute_error: 0.3899, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8088, predictive_accuracy: 0.7304, prior_entropy: 0.9279, recall: 0.7304, relative_absolute_error: 0.8651, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4209, root_relative_squared_error: 0.8868, scimark_benchmark: 1857.5552, usercpu_time_millis: 1.181, usercpu_time_millis_testing: 0.171, usercpu_time_millis_training: 1.01,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9618, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 171.4951, mean_absolute_error: 0.3437, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.7625, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3773, root_relative_squared_error: 0.7949, scimark_benchmark: 1867.1999, usercpu_time_millis: 1.308, usercpu_time_millis_testing: 0.199, usercpu_time_millis_training: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5759, f_measure: 0.5213, kb_relative_information_score: 2.8001, mean_absolute_error: 0.4439, 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: 0.9849, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4695, root_relative_squared_error: 0.9892, scimark_benchmark: 1868.7112, usercpu_time_millis: 0.844, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5883, f_measure: 0.5213, kb_relative_information_score: 5.8223, mean_absolute_error: 0.4435, 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: 0.984, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4693, root_relative_squared_error: 0.9888, scimark_benchmark: 1859.017, usercpu_time_millis: 1.501, usercpu_time_millis_testing: 0.233, usercpu_time_millis_training: 1.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6417, f_measure: 0.5213, kb_relative_information_score: 10.823, mean_absolute_error: 0.4419, 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: 0.9805, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9838, scimark_benchmark: 1871.3226, usercpu_time_millis: 1.169, usercpu_time_millis_testing: 0.214, usercpu_time_millis_training: 0.955,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8446, f_measure: 0.5213, kb_relative_information_score: 53.002, mean_absolute_error: 0.417, 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: 0.9253, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4432, root_relative_squared_error: 0.9337, scimark_benchmark: 1871.4349, usercpu_time_millis: 0.765, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 0.528,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7682, f_measure: 0.5475, kappa: 0.0442, kb_relative_information_score: 54.9522, mean_absolute_error: 0.4112, 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: 0.9124, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4404, root_relative_squared_error: 0.9279, scimark_benchmark: 1851.7382, usercpu_time_millis: 1.715, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 1.458,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.583, f_measure: 0.5213, kb_relative_information_score: 3.196, mean_absolute_error: 0.4459, 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: 0.9893, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4709, root_relative_squared_error: 0.992, scimark_benchmark: 1848.6319, usercpu_time_millis: 0.902, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.758,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4918, f_measure: 0.5213, kb_relative_information_score: 0.1284, 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: 1858.4861, usercpu_time_millis: 1.012, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 0.705,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8843, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 64.0733, mean_absolute_error: 0.4113, 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: 0.9125, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4373, root_relative_squared_error: 0.9214, scimark_benchmark: 1728.6398, usercpu_time_millis: 0.46, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8816, f_measure: 0.6989, kappa: 0.3292, kb_relative_information_score: 111.6244, mean_absolute_error: 0.3781, 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: 0.8389, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4116, root_relative_squared_error: 0.8673, scimark_benchmark: 1855.9428, usercpu_time_millis: 0.338, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.268,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9814, f_measure: 0.8709, kappa: 0.7062, kb_relative_information_score: 208.5048, mean_absolute_error: 0.3207, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8959, predictive_accuracy: 0.8785, prior_entropy: 0.9279, recall: 0.8785, relative_absolute_error: 0.7116, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.355, root_relative_squared_error: 0.748, scimark_benchmark: 1869.6309, usercpu_time_millis: 6.353, usercpu_time_millis_testing: 0.946, usercpu_time_millis_training: 5.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9949, f_measure: 0.9545, kappa: 0.898, kb_relative_information_score: 296.9007, mean_absolute_error: 0.26, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9562, predictive_accuracy: 0.9551, prior_entropy: 0.9279, recall: 0.9551, relative_absolute_error: 0.5769, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2948, root_relative_squared_error: 0.6212, scimark_benchmark: 1872.9496, usercpu_time_millis: 6.042, usercpu_time_millis_testing: 0.935, usercpu_time_millis_training: 5.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9221, f_measure: 0.737, kappa: 0.4087, kb_relative_information_score: 121.4657, mean_absolute_error: 0.3736, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8326, predictive_accuracy: 0.7754, prior_entropy: 0.9279, recall: 0.7754, relative_absolute_error: 0.8289, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4048, root_relative_squared_error: 0.8528, scimark_benchmark: 1871.5019, usercpu_time_millis: 4.685, usercpu_time_millis_testing: 0.842, usercpu_time_millis_training: 3.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9799, kappa: 0.9552, kb_relative_information_score: 343.3239, mean_absolute_error: 0.2263, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9804, predictive_accuracy: 0.98, prior_entropy: 0.9279, recall: 0.98, relative_absolute_error: 0.502, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2631, root_relative_squared_error: 0.5544, scimark_benchmark: 1873.9908, usercpu_time_millis: 3.628, usercpu_time_millis_testing: 0.539, usercpu_time_millis_training: 3.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9917, kappa: 0.9816, kb_relative_information_score: 436.4501, mean_absolute_error: 0.1517, 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: 0.3366, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.188, root_relative_squared_error: 0.3962, scimark_benchmark: 1872.9496, usercpu_time_millis: 3.144, usercpu_time_millis_testing: 0.407, usercpu_time_millis_training: 2.737,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9468, f_measure: 0.853, kappa: 0.6653, kb_relative_information_score: 168.4833, mean_absolute_error: 0.3443, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.887, predictive_accuracy: 0.8636, prior_entropy: 0.9279, recall: 0.8636, relative_absolute_error: 0.7639, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3794, root_relative_squared_error: 0.7993, scimark_benchmark: 1875.5079, usercpu_time_millis: 4.765, usercpu_time_millis_testing: 0.706, usercpu_time_millis_training: 4.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9042, f_measure: 0.7958, kappa: 0.5356, kb_relative_information_score: 132.1247, mean_absolute_error: 0.3645, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8432, predictive_accuracy: 0.8153, prior_entropy: 0.9279, recall: 0.8153, relative_absolute_error: 0.8087, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3977, root_relative_squared_error: 0.838, scimark_benchmark: 1873.5293, usercpu_time_millis: 1.944, usercpu_time_millis_testing: 0.301, usercpu_time_millis_training: 1.643,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9886, f_measure: 0.9099, kappa: 0.7956, kb_relative_information_score: 227.7727, mean_absolute_error: 0.309, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9235, predictive_accuracy: 0.9135, prior_entropy: 0.9279, recall: 0.9135, relative_absolute_error: 0.6856, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3421, root_relative_squared_error: 0.7207, scimark_benchmark: 1873.4078, usercpu_time_millis: 2.354, usercpu_time_millis_testing: 0.311, usercpu_time_millis_training: 2.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.777, f_measure: 0.5402, kappa: 0.0317, kb_relative_information_score: 51.7394, mean_absolute_error: 0.4155, 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: 0.9218, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4436, root_relative_squared_error: 0.9346, scimark_benchmark: 1877.2162, usercpu_time_millis: 2.478, usercpu_time_millis_testing: 0.464, usercpu_time_millis_training: 2.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8088, f_measure: 0.6458, kappa: 0.2235, kb_relative_information_score: 71.8199, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8031, predictive_accuracy: 0.7188, prior_entropy: 0.9279, recall: 0.7188, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4306, root_relative_squared_error: 0.9073, scimark_benchmark: 1865.1888, usercpu_time_millis: 1.922, usercpu_time_millis_testing: 0.3, usercpu_time_millis_training: 1.622,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5576, f_measure: 0.5213, kb_relative_information_score: 2.082, mean_absolute_error: 0.4463, 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: 0.9902, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.9939, scimark_benchmark: 1871.9601, usercpu_time_millis: 1.365, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 1.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4953, f_measure: 0.5213, kb_relative_information_score: -5.0513, 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: 0.9979, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1871.5019, usercpu_time_millis: 1.191, usercpu_time_millis_testing: 0.243, usercpu_time_millis_training: 0.948,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5201, f_measure: 0.5213, kb_relative_information_score: -2.2064, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9963, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1870.4105, usercpu_time_millis: 1.268, usercpu_time_millis_testing: 0.257, usercpu_time_millis_training: 1.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.495, f_measure: 0.5213, kb_relative_information_score: -0.116, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1872.0299, usercpu_time_millis: 0.271, usercpu_time_millis_testing: 0.057, usercpu_time_millis_training: 0.214,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5365, f_measure: 0.5213, kb_relative_information_score: -0.9239, 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: 0.9957, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4733, root_relative_squared_error: 0.9973, scimark_benchmark: 1869.1727, usercpu_time_millis: 0.447, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.356,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9953, f_measure: 0.9509, kappa: 0.8897, kb_relative_information_score: 297.5026, mean_absolute_error: 0.2585, 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: 0.5736, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2965, root_relative_squared_error: 0.6247, scimark_benchmark: 1872.1262, usercpu_time_millis: 5.513, usercpu_time_millis_testing: 0.825, usercpu_time_millis_training: 4.688,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8815, f_measure: 0.6895, kappa: 0.3094, kb_relative_information_score: 100.76, mean_absolute_error: 0.3849, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8098, predictive_accuracy: 0.7438, prior_entropy: 0.9279, recall: 0.7438, relative_absolute_error: 0.8539, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4154, root_relative_squared_error: 0.8751, scimark_benchmark: 1869.0313, usercpu_time_millis: 3.349, usercpu_time_millis_testing: 0.561, usercpu_time_millis_training: 2.788,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7493, f_measure: 0.5213, kb_relative_information_score: 30.1584, mean_absolute_error: 0.4294, 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: 0.9528, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9591, scimark_benchmark: 1869.4196, usercpu_time_millis: 0.583, usercpu_time_millis_testing: 0.109, usercpu_time_millis_training: 0.474,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9257, f_measure: 0.7562, kappa: 0.4498, kb_relative_information_score: 133.3146, mean_absolute_error: 0.3656, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8401, predictive_accuracy: 0.7887, prior_entropy: 0.9279, recall: 0.7887, relative_absolute_error: 0.8112, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.399, root_relative_squared_error: 0.8407, scimark_benchmark: 1869.6309, usercpu_time_millis: 3.194, usercpu_time_millis_testing: 0.439, usercpu_time_millis_training: 2.755,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.914, f_measure: 0.7747, kappa: 0.4901, kb_relative_information_score: 134.0491, mean_absolute_error: 0.3647, 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: 0.8091, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3981, root_relative_squared_error: 0.8387, scimark_benchmark: 1867.725, usercpu_time_millis: 3.541, usercpu_time_millis_testing: 0.59, usercpu_time_millis_training: 2.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5239, f_measure: 0.5213, kb_relative_information_score: -5.3481, mean_absolute_error: 0.4492, 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: 0.9967, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9996, scimark_benchmark: 1865.1205, usercpu_time_millis: 1.424, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 1.198,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6903, f_measure: 0.5213, kb_relative_information_score: 24.0609, mean_absolute_error: 0.4322, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9588, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9674, scimark_benchmark: 1873.4805, usercpu_time_millis: 0.091, usercpu_time_millis_testing: 0.021, usercpu_time_millis_training: 0.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 443.8443, mean_absolute_error: 0.1474, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.3269, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.179, root_relative_squared_error: 0.3772, scimark_benchmark: 1874.4489, usercpu_time_millis: 3.445, usercpu_time_millis_testing: 0.512, usercpu_time_millis_training: 2.933,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.48, f_measure: 0.5213, kb_relative_information_score: -6.4969, 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: 0.4757, root_relative_squared_error: 1.0023, scimark_benchmark: 1871.2729, usercpu_time_millis: 0.571, usercpu_time_millis_testing: 0.144, usercpu_time_millis_training: 0.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.824, f_measure: 0.5502, kappa: 0.0471, kb_relative_information_score: 65.2334, mean_absolute_error: 0.4066, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7421, predictive_accuracy: 0.6689, prior_entropy: 0.9279, recall: 0.6689, relative_absolute_error: 0.9021, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4355, root_relative_squared_error: 0.9175, scimark_benchmark: 1877.7992, usercpu_time_millis: 2.653, usercpu_time_millis_testing: 0.393, usercpu_time_millis_training: 2.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9988, f_measure: 0.9783, kappa: 0.9516, kb_relative_information_score: 348.6218, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9785, predictive_accuracy: 0.9784, prior_entropy: 0.9279, recall: 0.9784, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2587, root_relative_squared_error: 0.5451, scimark_benchmark: 1872.4881, usercpu_time_millis: 3.359, usercpu_time_millis_testing: 0.472, usercpu_time_millis_training: 2.887,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5351, f_measure: 0.5213, kb_relative_information_score: -3.7082, 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: 0.4741, root_relative_squared_error: 0.9988, scimark_benchmark: 1876.7581, usercpu_time_millis: 0.729, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.638,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6763, f_measure: 0.5213, kb_relative_information_score: 17.9719, 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: 0.4627, root_relative_squared_error: 0.9749, scimark_benchmark: 1869.8382, usercpu_time_millis: 2.006, usercpu_time_millis_testing: 0.326, usercpu_time_millis_training: 1.68,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9752, f_measure: 0.8667, kappa: 0.6966, kb_relative_information_score: 188.788, mean_absolute_error: 0.3335, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8951, predictive_accuracy: 0.8752, prior_entropy: 0.9279, recall: 0.8752, relative_absolute_error: 0.74, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3673, root_relative_squared_error: 0.7739, scimark_benchmark: 1876.0923, usercpu_time_millis: 5.922, usercpu_time_millis_testing: 1.049, usercpu_time_millis_training: 4.873,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7448, f_measure: 0.543, kappa: 0.0346, kb_relative_information_score: 46.9052, mean_absolute_error: 0.4158, 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: 0.9225, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4443, root_relative_squared_error: 0.9362, scimark_benchmark: 1877.2162, usercpu_time_millis: 3.193, usercpu_time_millis_testing: 0.535, usercpu_time_millis_training: 2.658,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4969, f_measure: 0.5213, kb_relative_information_score: -0.2013, 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: 1865.4271, usercpu_time_millis: 0.623, usercpu_time_millis_testing: 0.092, usercpu_time_millis_training: 0.531,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7863, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 46.4867, mean_absolute_error: 0.4192, 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: 0.9301, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.446, root_relative_squared_error: 0.9396, scimark_benchmark: 1869.9351, usercpu_time_millis: 1.415, usercpu_time_millis_testing: 0.224, usercpu_time_millis_training: 1.191,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5067, f_measure: 0.5213, kb_relative_information_score: -3.2064, 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: 0.4752, root_relative_squared_error: 1.0013, scimark_benchmark: 1861.6424, usercpu_time_millis: 0.547, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.477,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4989, f_measure: 0.5213, kb_relative_information_score: -0.2934, 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: 1875.2434, usercpu_time_millis: 0.483, usercpu_time_millis_testing: 0.062, usercpu_time_millis_training: 0.421,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7587, f_measure: 0.5839, kappa: 0.105, kb_relative_information_score: 56.2525, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7531, predictive_accuracy: 0.6839, prior_entropy: 0.9279, recall: 0.6839, relative_absolute_error: 0.9115, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4415, root_relative_squared_error: 0.9301, scimark_benchmark: 1876.8275, usercpu_time_millis: 2.756, usercpu_time_millis_testing: 0.388, usercpu_time_millis_training: 2.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.9983, kappa: 0.9963, kb_relative_information_score: 455.7153, mean_absolute_error: 0.1362, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9983, predictive_accuracy: 0.9983, prior_entropy: 0.9279, recall: 0.9983, relative_absolute_error: 0.3021, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1702, root_relative_squared_error: 0.3586, scimark_benchmark: 1841.5024, usercpu_time_millis: 7.519, usercpu_time_millis_testing: 1.154, usercpu_time_millis_training: 6.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5523, f_measure: 0.5213, kb_relative_information_score: 0.3987, mean_absolute_error: 0.4481, 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: 0.9943, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4727, root_relative_squared_error: 0.996, scimark_benchmark: 1873.4078, usercpu_time_millis: 1.108, usercpu_time_millis_testing: 0.2, usercpu_time_millis_training: 0.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9898, f_measure: 0.9245, kappa: 0.8292, kb_relative_information_score: 263.6916, mean_absolute_error: 0.282, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9332, predictive_accuracy: 0.9268, prior_entropy: 0.9279, recall: 0.9268, relative_absolute_error: 0.6257, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3202, root_relative_squared_error: 0.6746, scimark_benchmark: 1876.6882, usercpu_time_millis: 1.169, usercpu_time_millis_testing: 0.158, usercpu_time_millis_training: 1.011,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.0765, 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: 1728.4611, usercpu_time_millis: 1.07, usercpu_time_millis_testing: 0.238, usercpu_time_millis_training: 0.832,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5332, f_measure: 0.5213, kb_relative_information_score: -1.8848, 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: 0.9925, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9968, scimark_benchmark: 1871.5019, usercpu_time_millis: 0.804, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.697,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.5213, kb_relative_information_score: -0.379, mean_absolute_error: 0.4472, 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: 0.9923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4725, root_relative_squared_error: 0.9956, scimark_benchmark: 1726.8311, usercpu_time_millis: 1.584, usercpu_time_millis_testing: 0.331, usercpu_time_millis_training: 1.253,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8516, f_measure: 0.6975, kappa: 0.3257, kb_relative_information_score: 104.1184, mean_absolute_error: 0.3805, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8128, predictive_accuracy: 0.7488, prior_entropy: 0.9279, recall: 0.7488, relative_absolute_error: 0.8442, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.415, root_relative_squared_error: 0.8744, scimark_benchmark: 1870.3932, usercpu_time_millis: 3.204, usercpu_time_millis_testing: 0.419, usercpu_time_millis_training: 2.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5494, f_measure: 0.5213, kb_relative_information_score: 0.9707, mean_absolute_error: 0.4468, 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: 0.9913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.472, root_relative_squared_error: 0.9946, scimark_benchmark: 1868.3805, usercpu_time_millis: 0.782, usercpu_time_millis_testing: 0.093, usercpu_time_millis_training: 0.689,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9963, f_measure: 0.9647, kappa: 0.9211, kb_relative_information_score: 304.9864, mean_absolute_error: 0.254, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9658, predictive_accuracy: 0.9651, prior_entropy: 0.9279, recall: 0.9651, relative_absolute_error: 0.5636, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.29, root_relative_squared_error: 0.6111, scimark_benchmark: 1875.7685, usercpu_time_millis: 2.674, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 2.263,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6478, f_measure: 0.5213, kb_relative_information_score: 10.7878, mean_absolute_error: 0.4415, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9795, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4666, root_relative_squared_error: 0.983, scimark_benchmark: 1872.9496, usercpu_time_millis: 1.923, usercpu_time_millis_testing: 0.433, usercpu_time_millis_training: 1.49,

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