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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: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1231, 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: 1354.8773, usercpu_time_millis: 34.097, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 34.086,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -50.929, mean_absolute_error: 0.4711, 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: 1.0453, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0095, scimark_benchmark: 1349.6691, usercpu_time_millis: 1.252, usercpu_time_millis_testing: 0.015, usercpu_time_millis_training: 1.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.545, f_measure: 0.5213, kb_relative_information_score: -0.5241, 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: 0.4744, root_relative_squared_error: 0.9995, scimark_benchmark: 1330.536, usercpu_time_millis: 3.068, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 3.057,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, 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: 1345.4404, usercpu_time_millis: 8.512, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 8.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1348.5337, usercpu_time_millis: 29.226, usercpu_time_millis_testing: 0.177, usercpu_time_millis_training: 29.049,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.5026, kappa: -0.0739, kb_relative_information_score: -13.5665, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.423, predictive_accuracy: 0.619, prior_entropy: 0.9279, recall: 0.619, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0083, scimark_benchmark: 1338.0417, usercpu_time_millis: 32.838, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 32.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5463, f_measure: 0.5213, kb_relative_information_score: -0.8888, mean_absolute_error: 0.4502, 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: 0.9989, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9993, scimark_benchmark: 1355.4821, usercpu_time_millis: 1.434, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 1.422,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: -65.7522, mean_absolute_error: 0.4778, 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: 1.0601, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4825, root_relative_squared_error: 1.0165, scimark_benchmark: 1359.6297, usercpu_time_millis: 1.203, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 1.192,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6336, f_measure: 0.5092, kappa: -0.0488, kb_relative_information_score: 12.5466, mean_absolute_error: 0.4346, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4262, predictive_accuracy: 0.6323, prior_entropy: 0.9279, recall: 0.6323, relative_absolute_error: 0.9642, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4651, root_relative_squared_error: 0.98, scimark_benchmark: 1343.7602, usercpu_time_millis: 42.436, usercpu_time_millis_testing: 0.411, usercpu_time_millis_training: 42.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5108, kappa: -0.0424, kb_relative_information_score: -12.754, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.427, predictive_accuracy: 0.6356, prior_entropy: 0.9279, recall: 0.6356, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4775, root_relative_squared_error: 1.0061, scimark_benchmark: 1324.7875, usercpu_time_millis: 24.242, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 24.232,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4932, f_measure: 0.5213, kb_relative_information_score: 0.2996, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1319.9916, usercpu_time_millis: 10.839, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 10.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5474, f_measure: 0.5213, kb_relative_information_score: -10.8792, mean_absolute_error: 0.4516, 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: 1.0019, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9988, scimark_benchmark: 1349.3585, usercpu_time_millis: 26.002, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 25.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1332.9116, usercpu_time_millis: 14.413, usercpu_time_millis_testing: 0.098, usercpu_time_millis_training: 14.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9774, f_measure: 0.9186, kappa: 0.8168, kb_relative_information_score: 304.8759, mean_absolute_error: 0.2477, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9217, predictive_accuracy: 0.9201, prior_entropy: 0.9279, recall: 0.9201, relative_absolute_error: 0.5496, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2991, root_relative_squared_error: 0.6302, scimark_benchmark: 1330.974, usercpu_time_millis: 84.733, usercpu_time_millis_testing: 1.148, usercpu_time_millis_training: 83.585,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5484, f_measure: 0.5059, kappa: -0.0614, kb_relative_information_score: -12.9546, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4246, predictive_accuracy: 0.6256, prior_entropy: 0.9279, recall: 0.6256, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4779, root_relative_squared_error: 1.0069, scimark_benchmark: 1355.28, usercpu_time_millis: 33.924, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 33.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5862, f_measure: 0.5213, kb_relative_information_score: -2.5601, 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: 0.4711, root_relative_squared_error: 0.9925, scimark_benchmark: 1335.4368, usercpu_time_millis: 33.943, usercpu_time_millis_testing: 0.335, usercpu_time_millis_training: 33.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.123, 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: 1344.0169, usercpu_time_millis: 30.122, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 30.112,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1231, 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: 1329.7136, usercpu_time_millis: 27.954, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 27.944,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5441, f_measure: 0.5213, kb_relative_information_score: -54.3831, mean_absolute_error: 0.4727, 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: 1.0489, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4796, root_relative_squared_error: 1.0105, scimark_benchmark: 1307.4455, usercpu_time_millis: 0.68, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 0.67,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5455, f_measure: 0.5026, kappa: -0.0739, kb_relative_information_score: -13.6421, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.423, predictive_accuracy: 0.619, prior_entropy: 0.9279, recall: 0.619, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4787, root_relative_squared_error: 1.0085, scimark_benchmark: 1278.6461, usercpu_time_millis: 11.236, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 11.225,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1231, 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: 1291.7473, usercpu_time_millis: 14.348, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 14.337,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5553, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -10.5064, mean_absolute_error: 0.447, 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: 0.9919, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0015, scimark_benchmark: 1281.8769, usercpu_time_millis: 24.297, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 24.287,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1228, 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: 1305.7424, usercpu_time_millis: 13.784, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 13.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5307, f_measure: 0.5213, kb_relative_information_score: -6.1054, 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: 0.4745, root_relative_squared_error: 0.9997, scimark_benchmark: 1299.7452, usercpu_time_millis: 15.332, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 15.319,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7379, f_measure: 0.6282, kappa: 0.1535, kb_relative_information_score: 77.9242, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.63, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.8568, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4428, root_relative_squared_error: 0.9329, scimark_benchmark: 1304.3589, usercpu_time_millis: 59.06, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 58.604,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7193, f_measure: 0.5227, kappa: -0.0036, kb_relative_information_score: -68.5655, mean_absolute_error: 0.4792, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5172, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 1.0633, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4812, root_relative_squared_error: 1.0139, scimark_benchmark: 1346.4782, usercpu_time_millis: 3.706, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 3.659,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5254, f_measure: 0.5213, kb_relative_information_score: -2.1405, mean_absolute_error: 0.4502, 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: 0.9988, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9995, scimark_benchmark: 1351.0141, usercpu_time_millis: 31.32, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 31.308,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5051, f_measure: 0.5213, kb_relative_information_score: -99.2995, mean_absolute_error: 0.4941, 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: 1.0963, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4945, root_relative_squared_error: 1.0418, scimark_benchmark: 1341.1899, usercpu_time_millis: 11.698, usercpu_time_millis_testing: 0.064, usercpu_time_millis_training: 11.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9553, f_measure: 0.9064, kappa: 0.7913, kb_relative_information_score: 286.6896, mean_absolute_error: 0.2542, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9063, predictive_accuracy: 0.9068, prior_entropy: 0.9279, recall: 0.9068, relative_absolute_error: 0.5639, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6696, scimark_benchmark: 1330.4388, usercpu_time_millis: 20.404, usercpu_time_millis_testing: 0.16, usercpu_time_millis_training: 20.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5448, f_measure: 0.5213, kb_relative_information_score: -10.1721, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0023, scimark_benchmark: 1337.0333, usercpu_time_millis: 7.088, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 7.078,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4987, f_measure: 0.5213, kb_relative_information_score: 0.3243, mean_absolute_error: 0.4504, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9993, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1334.7713, usercpu_time_millis: 41.04, usercpu_time_millis_testing: 0.4, usercpu_time_millis_training: 40.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1223, 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: 1326.1354, usercpu_time_millis: 28.939, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 28.929,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5381, f_measure: 0.5213, kb_relative_information_score: -7.6877, mean_absolute_error: 0.4483, 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: 0.9945, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0003, scimark_benchmark: 1322.826, usercpu_time_millis: 7.031, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 7.02,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5458, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -11.4607, mean_absolute_error: 0.4476, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4312, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.9931, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0038, scimark_benchmark: 1345.6446, usercpu_time_millis: 23.054, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 23.046,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5384, f_measure: 0.5213, kb_relative_information_score: -6.6193, mean_absolute_error: 0.4489, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9959, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9994, scimark_benchmark: 1336.8338, usercpu_time_millis: 20.954, usercpu_time_millis_testing: 0.012, usercpu_time_millis_training: 20.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.995, kappa: 0.9889, kb_relative_information_score: 490.4835, mean_absolute_error: 0.1057, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.995, predictive_accuracy: 0.995, prior_entropy: 0.9279, recall: 0.995, relative_absolute_error: 0.2346, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1388, root_relative_squared_error: 0.2925, scimark_benchmark: 1336.6321, usercpu_time_millis: 62.496, usercpu_time_millis_testing: 0.413, usercpu_time_millis_training: 62.083,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5449, f_measure: 0.5213, kb_relative_information_score: -1.4086, mean_absolute_error: 0.4501, 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: 0.9986, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991, scimark_benchmark: 1338.6163, usercpu_time_millis: 20.115, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 20.107,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5362, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: -4.4163, mean_absolute_error: 0.4443, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4308, predictive_accuracy: 0.6522, prior_entropy: 0.9279, recall: 0.6522, relative_absolute_error: 0.9858, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0032, scimark_benchmark: 1317.8528, usercpu_time_millis: 22.243, usercpu_time_millis_testing: 0.191, usercpu_time_millis_training: 22.052,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7545, f_measure: 0.5214, kappa: -0.0429, kb_relative_information_score: 51.7089, mean_absolute_error: 0.4124, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.493, predictive_accuracy: 0.6256, prior_entropy: 0.9279, recall: 0.6256, relative_absolute_error: 0.9151, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9387, scimark_benchmark: 1332.5013, usercpu_time_millis: 32.518, usercpu_time_millis_testing: 0.264, usercpu_time_millis_training: 32.254,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.547, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -12.6955, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9919, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4778, root_relative_squared_error: 1.0067, scimark_benchmark: 1322.2527, usercpu_time_millis: 29.627, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 29.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4829, f_measure: 0.5213, kb_relative_information_score: -50.8375, mean_absolute_error: 0.4711, 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: 1.0452, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4791, root_relative_squared_error: 1.0095, scimark_benchmark: 1328.8078, usercpu_time_millis: 36.419, usercpu_time_millis_testing: 0.195, usercpu_time_millis_training: 36.224,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1229, 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: 1339.3019, usercpu_time_millis: 35.304, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 35.293,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5011, f_measure: 0.5213, kb_relative_information_score: -110.4248, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1331.3426, usercpu_time_millis: 2.485, usercpu_time_millis_testing: 0.02, usercpu_time_millis_training: 2.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, 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: 1338.17, usercpu_time_millis: 6.915, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 6.906,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5427, f_measure: 0.5213, kb_relative_information_score: -1.315, mean_absolute_error: 0.4501, 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: 0.9987, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9992, scimark_benchmark: 1337.1381, usercpu_time_millis: 18.011, usercpu_time_millis_testing: 0.024, usercpu_time_millis_training: 17.987,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4624, f_measure: 0.5213, kb_relative_information_score: -3.4418, mean_absolute_error: 0.4514, 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: 1.0015, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0017, scimark_benchmark: 1343.7295, usercpu_time_millis: 16.302, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 16.291,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5457, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.4863, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4786, root_relative_squared_error: 1.0083, scimark_benchmark: 1348.0245, usercpu_time_millis: 24.074, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 24.064,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7917, f_measure: 0.627, kappa: 0.1585, kb_relative_information_score: 88.7968, mean_absolute_error: 0.3862, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6527, predictive_accuracy: 0.6772, prior_entropy: 0.9279, recall: 0.6772, relative_absolute_error: 0.857, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4278, root_relative_squared_error: 0.9014, scimark_benchmark: 1323.9843, usercpu_time_millis: 74.071, usercpu_time_millis_testing: 0.692, usercpu_time_millis_training: 73.379,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5459, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.1925, mean_absolute_error: 0.4471, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9921, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0077, scimark_benchmark: 1350.8224, usercpu_time_millis: 32.365, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 32.355,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5475, f_measure: 0.5213, kb_relative_information_score: -1.7876, mean_absolute_error: 0.4499, 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: 0.9983, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9989, scimark_benchmark: 1333.2932, usercpu_time_millis: 15.26, usercpu_time_millis_testing: 0.009, usercpu_time_millis_training: 15.251,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1231, 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: 1347.0756, usercpu_time_millis: 30.423, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 30.413,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1343.9437, usercpu_time_millis: 38.847, usercpu_time_millis_testing: 0.239, usercpu_time_millis_training: 38.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1228, 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: 1335.1598, usercpu_time_millis: 25.036, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 25.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5456, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.5333, mean_absolute_error: 0.4474, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9926, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0078, scimark_benchmark: 1326.3491, usercpu_time_millis: 30.282, usercpu_time_millis_testing: 0.008, usercpu_time_millis_training: 30.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.546, f_measure: 0.5213, kb_relative_information_score: -10.724, mean_absolute_error: 0.4477, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9932, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.476, root_relative_squared_error: 1.0028, scimark_benchmark: 1317.0678, usercpu_time_millis: 2.414, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 2.404,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1225, 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: 1333.0838, usercpu_time_millis: 20.45, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 20.44,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5042, kappa: -0.0677, kb_relative_information_score: -13.308, mean_absolute_error: 0.4473, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4238, predictive_accuracy: 0.6223, prior_entropy: 0.9279, recall: 0.6223, relative_absolute_error: 0.9923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4783, root_relative_squared_error: 1.0077, scimark_benchmark: 1321.8196, usercpu_time_millis: 30.146, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 30.135,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1317.4174, usercpu_time_millis: 43.556, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 43.289,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6054, f_measure: 0.5213, kb_relative_information_score: 7.4098, mean_absolute_error: 0.4407, 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: 0.9778, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4671, root_relative_squared_error: 0.9842, scimark_benchmark: 1333.6426, usercpu_time_millis: 51.338, usercpu_time_millis_testing: 0.501, usercpu_time_millis_training: 50.837,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.7147, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0087, scimark_benchmark: 1348.2362, usercpu_time_millis: 26.519, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 26.509,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -110.5019, mean_absolute_error: 0.5, 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: 1.1093, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.5, root_relative_squared_error: 1.0534, scimark_benchmark: 1305.3026, usercpu_time_millis: 40.122, usercpu_time_millis_testing: 0.259, usercpu_time_millis_training: 39.863,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1231, 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: 1346.3965, usercpu_time_millis: 9.912, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 9.902,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1231, 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: 1332.5272, usercpu_time_millis: 10.521, usercpu_time_millis_testing: 0.011, usercpu_time_millis_training: 10.51,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5452, f_measure: 0.5017, kappa: -0.077, kb_relative_information_score: -13.7102, mean_absolute_error: 0.4472, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4226, predictive_accuracy: 0.6173, prior_entropy: 0.9279, recall: 0.6173, relative_absolute_error: 0.9922, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4788, root_relative_squared_error: 1.0087, scimark_benchmark: 1347.6588, usercpu_time_millis: 13.732, usercpu_time_millis_testing: 0.01, usercpu_time_millis_training: 13.722,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5531, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -11.0568, mean_absolute_error: 0.4475, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4312, predictive_accuracy: 0.6539, prior_entropy: 0.9279, recall: 0.6539, relative_absolute_error: 0.9929, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0018, scimark_benchmark: 1325.2589, usercpu_time_millis: 7.717, usercpu_time_millis_testing: 0.013, usercpu_time_millis_training: 7.704,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5464, f_measure: 0.5213, kb_relative_information_score: -9.38, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9996, scimark_benchmark: 1334.6809, usercpu_time_millis: 25.073, usercpu_time_millis_testing: 0.014, usercpu_time_millis_training: 25.059,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.2023, 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: 1340.164, usercpu_time_millis: 29.998, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 29.826,

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