Task
Supervised Classification on madelon

Supervised Classification on madelon

Task 145853 Supervised Classification madelon 38804 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1799.2891, usercpu_time_millis: 1.105, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1769.6587, usercpu_time_millis: 1.102, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 1.03,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6375, f_measure: 0.6181, kappa: 0.2362, kb_relative_information_score: 132.9538, mean_absolute_error: 0.4805, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6181, predictive_accuracy: 0.6181, prior_entropy: 1, recall: 0.6181, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4872, root_relative_squared_error: 0.9743, scimark_benchmark: 1777.4765, usercpu_time_millis: 1.631, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 1.562,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6361, f_measure: 0.6177, kappa: 0.2354, kb_relative_information_score: 113.2721, mean_absolute_error: 0.4837, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6177, predictive_accuracy: 0.6177, prior_entropy: 1, recall: 0.6177, relative_absolute_error: 0.9673, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4884, root_relative_squared_error: 0.9769, scimark_benchmark: 2067.4369, usercpu_time_millis: 0.983, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 0.922,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6369, f_measure: 0.6046, kappa: 0.2092, kb_relative_information_score: 99.4579, mean_absolute_error: 0.4857, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6046, predictive_accuracy: 0.6046, prior_entropy: 1, recall: 0.6046, relative_absolute_error: 0.9715, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4893, root_relative_squared_error: 0.9786, scimark_benchmark: 1736.5552, usercpu_time_millis: 1.119, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1733.3606, usercpu_time_millis: 1.093, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 1.021,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6035, kappa: 0.2069, kb_relative_information_score: 165.1307, mean_absolute_error: 0.475, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6035, predictive_accuracy: 0.6035, prior_entropy: 1, recall: 0.6035, relative_absolute_error: 0.9501, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4859, root_relative_squared_error: 0.9719, scimark_benchmark: 1771.0202, usercpu_time_millis: 1.133, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 1.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5914, f_measure: 0.565, kappa: 0.13, kb_relative_information_score: 216.6754, mean_absolute_error: 0.463, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.565, predictive_accuracy: 0.565, prior_entropy: 1, recall: 0.565, relative_absolute_error: 0.9261, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5177, root_relative_squared_error: 1.0354, scimark_benchmark: 1852.0126, usercpu_time_millis: 3.563, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 3.492,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5897, f_measure: 0.5677, kappa: 0.1354, kb_relative_information_score: 221.0051, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.924, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5216, root_relative_squared_error: 1.0433, scimark_benchmark: 1858.6775, usercpu_time_millis: 4.499, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 4.43,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6065, f_measure: 0.5735, kappa: 0.1469, kb_relative_information_score: 204.2953, mean_absolute_error: 0.4664, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5735, predictive_accuracy: 0.5735, prior_entropy: 1, recall: 0.5735, relative_absolute_error: 0.9329, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4998, root_relative_squared_error: 0.9996, scimark_benchmark: 1749.6379, usercpu_time_millis: 2.366, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 2.288,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.621, f_measure: 0.5792, kappa: 0.1585, kb_relative_information_score: 173.6127, mean_absolute_error: 0.4728, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5792, predictive_accuracy: 0.5792, prior_entropy: 1, recall: 0.5792, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4895, root_relative_squared_error: 0.979, scimark_benchmark: 1772.7774, usercpu_time_millis: 1.732, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 1.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1795.0408, usercpu_time_millis: 1.019, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1808.9536, usercpu_time_millis: 1.066, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.995,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6246, f_measure: 0.6165, kappa: 0.2331, kb_relative_information_score: 8.9865, mean_absolute_error: 0.4988, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6165, predictive_accuracy: 0.6165, prior_entropy: 1, recall: 0.6165, relative_absolute_error: 0.9976, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4988, root_relative_squared_error: 0.9977, scimark_benchmark: 1770.6787, usercpu_time_millis: 1.077, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.004,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1744.7239, usercpu_time_millis: 1.077, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 1.005,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1755.6691, usercpu_time_millis: 1.107, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1798.9698, usercpu_time_millis: 1.067, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6107, f_measure: 0.57, kappa: 0.14, kb_relative_information_score: 199.1823, mean_absolute_error: 0.4676, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.57, predictive_accuracy: 0.57, prior_entropy: 1, recall: 0.57, relative_absolute_error: 0.9352, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4963, root_relative_squared_error: 0.9927, scimark_benchmark: 1726.6494, usercpu_time_millis: 2.226, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 2.147,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5865, f_measure: 0.5665, kappa: 0.1331, kb_relative_information_score: 220.9727, mean_absolute_error: 0.4617, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5665, predictive_accuracy: 0.5665, prior_entropy: 1, recall: 0.5665, relative_absolute_error: 0.9235, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5263, root_relative_squared_error: 1.0527, scimark_benchmark: 1736.5552, usercpu_time_millis: 5.405, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 5.33,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5995, f_measure: 0.5677, kappa: 0.1354, kb_relative_information_score: 206.8916, mean_absolute_error: 0.4655, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5677, predictive_accuracy: 0.5677, prior_entropy: 1, recall: 0.5677, relative_absolute_error: 0.9311, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5059, root_relative_squared_error: 1.0118, scimark_benchmark: 1848.388, usercpu_time_millis: 2.44, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 2.368,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1691.8064, usercpu_time_millis: 1.617, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 1.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1753.7108, usercpu_time_millis: 1.105, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.031,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1904.78, usercpu_time_millis: 1.037, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6383, f_measure: 0.6108, kappa: 0.2215, kb_relative_information_score: 154.0697, mean_absolute_error: 0.477, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6108, predictive_accuracy: 0.6108, prior_entropy: 1, recall: 0.6108, relative_absolute_error: 0.9539, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4861, root_relative_squared_error: 0.9722, scimark_benchmark: 1763.6829, usercpu_time_millis: 1.106, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 1.036,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1754.4016, usercpu_time_millis: 1.145, usercpu_time_millis_testing: 0.077, usercpu_time_millis_training: 1.068,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5911, f_measure: 0.5665, kappa: 0.1331, kb_relative_information_score: 221.4527, mean_absolute_error: 0.462, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5665, predictive_accuracy: 0.5665, prior_entropy: 1, recall: 0.5665, relative_absolute_error: 0.9241, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.52, root_relative_squared_error: 1.0399, scimark_benchmark: 1848.388, usercpu_time_millis: 4.786, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 4.714,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1810.2162, usercpu_time_millis: 1.047, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1743.7361, usercpu_time_millis: 1.056, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5868, f_measure: 0.5642, kappa: 0.1285, kb_relative_information_score: 222.7677, mean_absolute_error: 0.4613, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5642, predictive_accuracy: 0.5642, prior_entropy: 1, recall: 0.5642, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.527, root_relative_squared_error: 1.054, scimark_benchmark: 1736.2051, usercpu_time_millis: 9.393, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 9.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1824.6718, usercpu_time_millis: 1.146, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 1.07,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.597, f_measure: 0.5715, kappa: 0.1431, kb_relative_information_score: 216.1575, mean_absolute_error: 0.4635, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5715, predictive_accuracy: 0.5715, prior_entropy: 1, recall: 0.5715, relative_absolute_error: 0.927, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5112, root_relative_squared_error: 1.0223, scimark_benchmark: 1717.3262, usercpu_time_millis: 3.737, usercpu_time_millis_testing: 0.082, usercpu_time_millis_training: 3.655,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5873, f_measure: 0.5665, kappa: 0.1331, kb_relative_information_score: 221.6958, mean_absolute_error: 0.4616, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5665, predictive_accuracy: 0.5665, prior_entropy: 1, recall: 0.5665, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5257, root_relative_squared_error: 1.0514, scimark_benchmark: 1785.1648, usercpu_time_millis: 6.227, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 6.153,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 2127.7792, usercpu_time_millis: 1.404, usercpu_time_millis_testing: 0.061, usercpu_time_millis_training: 1.343,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6017, f_measure: 0.5715, kappa: 0.1431, kb_relative_information_score: 210.8668, mean_absolute_error: 0.4649, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5715, predictive_accuracy: 0.5715, prior_entropy: 1, recall: 0.5715, relative_absolute_error: 0.9298, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.505, root_relative_squared_error: 1.0099, scimark_benchmark: 1826.7568, usercpu_time_millis: 3.261, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 3.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5854, f_measure: 0.565, kappa: 0.13, kb_relative_information_score: 222.2321, mean_absolute_error: 0.4614, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.565, predictive_accuracy: 0.565, prior_entropy: 1, recall: 0.565, relative_absolute_error: 0.9227, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5288, root_relative_squared_error: 1.0577, scimark_benchmark: 1737.5269, usercpu_time_millis: 5.917, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 5.848,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1729.3282, usercpu_time_millis: 1.599, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.526,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.637, f_measure: 0.6177, kappa: 0.2354, kb_relative_information_score: 119.5469, mean_absolute_error: 0.4827, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6177, predictive_accuracy: 0.6177, prior_entropy: 1, recall: 0.6177, relative_absolute_error: 0.9654, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.488, root_relative_squared_error: 0.9759, scimark_benchmark: 1727.616, usercpu_time_millis: 1.1, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 1.028,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.6065, kappa: 0.2131, kb_relative_information_score: 75.1454, mean_absolute_error: 0.4894, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6065, predictive_accuracy: 0.6065, prior_entropy: 1, recall: 0.6065, relative_absolute_error: 0.9788, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4915, root_relative_squared_error: 0.983, scimark_benchmark: 1719.1889, usercpu_time_millis: 1.258, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 1.177,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1849.7595, usercpu_time_millis: 1.056, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.64, f_measure: 0.6138, kappa: 0.2277, kb_relative_information_score: 156.2392, mean_absolute_error: 0.4767, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6138, predictive_accuracy: 0.6138, prior_entropy: 1, recall: 0.6138, relative_absolute_error: 0.9533, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4858, root_relative_squared_error: 0.9716, scimark_benchmark: 1775.3835, usercpu_time_millis: 1.156, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 1.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.585, f_measure: 0.5612, kappa: 0.1223, kb_relative_information_score: 225.3679, mean_absolute_error: 0.4606, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5612, predictive_accuracy: 0.5612, prior_entropy: 1, recall: 0.5612, relative_absolute_error: 0.9213, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5311, root_relative_squared_error: 1.0622, scimark_benchmark: 1728.4686, usercpu_time_millis: 11.202, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 11.123,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1740.3462, usercpu_time_millis: 1.106, usercpu_time_millis_testing: 0.074, usercpu_time_millis_training: 1.032,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1059.693, usercpu_time_millis: 1.823, usercpu_time_millis_testing: 0.138, usercpu_time_millis_training: 1.685,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1111.6965, usercpu_time_millis: 1.906, usercpu_time_millis_testing: 0.136, usercpu_time_millis_training: 1.77,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1789.6046, usercpu_time_millis: 1.023, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1732.268, usercpu_time_millis: 1.055, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.984,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6311, f_measure: 0.6004, kappa: 0.2008, kb_relative_information_score: 46.2994, mean_absolute_error: 0.4936, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6004, predictive_accuracy: 0.6004, prior_entropy: 1, recall: 0.6004, relative_absolute_error: 0.9872, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4944, root_relative_squared_error: 0.9888, scimark_benchmark: 1759.5709, usercpu_time_millis: 1.11, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 1.041,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1719.1526, usercpu_time_millis: 1.219, usercpu_time_millis_testing: 0.081, usercpu_time_millis_training: 1.138,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6364, f_measure: 0.6038, kappa: 0.2077, kb_relative_information_score: 158.4748, mean_absolute_error: 0.4761, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6039, predictive_accuracy: 0.6038, prior_entropy: 1, recall: 0.6038, relative_absolute_error: 0.9523, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4862, root_relative_squared_error: 0.9724, scimark_benchmark: 1772.8811, usercpu_time_millis: 1.191, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 1.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.596, f_measure: 0.5712, kappa: 0.1423, kb_relative_information_score: 214.4567, mean_absolute_error: 0.4638, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.5712, predictive_accuracy: 0.5712, prior_entropy: 1, recall: 0.5712, relative_absolute_error: 0.9276, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5117, root_relative_squared_error: 1.0234, scimark_benchmark: 1852.4707, usercpu_time_millis: 2.955, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 2.885,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1776.902, usercpu_time_millis: 1.106, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.033,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1743.8223, usercpu_time_millis: 1.11, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.037,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1773.5474, usercpu_time_millis: 1.037, usercpu_time_millis_testing: 0.069, usercpu_time_millis_training: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1716.8244, usercpu_time_millis: 1.192, usercpu_time_millis_testing: 0.078, usercpu_time_millis_training: 1.114,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1775.8249, usercpu_time_millis: 1.1, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.027,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1731.0996, usercpu_time_millis: 1.125, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1733.0756, usercpu_time_millis: 1.101, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1802.3979, usercpu_time_millis: 1.018, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.95,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1856.1949, usercpu_time_millis: 1.096, usercpu_time_millis_testing: 0.072, usercpu_time_millis_training: 1.024,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1791.1825, usercpu_time_millis: 1.049, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 0.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1850.9434, usercpu_time_millis: 1.067, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.997,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.3333, mean_absolute_error: 0.5, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.25, predictive_accuracy: 0.5, prior_entropy: 1, recall: 0.5, relative_absolute_error: 1, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.5, root_relative_squared_error: 1, scimark_benchmark: 1842.8726, usercpu_time_millis: 1.187, usercpu_time_millis_testing: 0.075, usercpu_time_millis_training: 1.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6371, f_measure: 0.6181, kappa: 0.2362, kb_relative_information_score: 120.624, mean_absolute_error: 0.4825, mean_prior_absolute_error: 0.5, number_of_instances: 2600, precision: 0.6181, predictive_accuracy: 0.6181, prior_entropy: 1, recall: 0.6181, relative_absolute_error: 0.965, root_mean_prior_squared_error: 0.5, root_mean_squared_error: 0.4879, root_relative_squared_error: 0.9758, scimark_benchmark: 1765.8026, usercpu_time_millis: 1.128, usercpu_time_millis_testing: 0.073, usercpu_time_millis_training: 1.055,

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