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Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261557 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9899, f_measure: 0.943, kappa: 0.8727, kb_relative_information_score: 397.6596, mean_absolute_error: 0.1717, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9434, predictive_accuracy: 0.9434, prior_entropy: 0.9279, recall: 0.9434, relative_absolute_error: 0.381, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2345, root_relative_squared_error: 0.494, scimark_benchmark: 1280.51, usercpu_time_millis: 3.171, usercpu_time_millis_testing: 0.447, usercpu_time_millis_training: 2.724,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.5213, kb_relative_information_score: 0.1856, mean_absolute_error: 0.4505, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1272.2314, usercpu_time_millis: 0.68, usercpu_time_millis_testing: 0.161, usercpu_time_millis_training: 0.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8261, f_measure: 0.6184, kappa: 0.1713, kb_relative_information_score: 76.2625, mean_absolute_error: 0.3993, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7958, predictive_accuracy: 0.7038, prior_entropy: 0.9279, recall: 0.7038, relative_absolute_error: 0.8858, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4304, root_relative_squared_error: 0.9068, scimark_benchmark: 1255.0672, usercpu_time_millis: 3.43, usercpu_time_millis_testing: 0.64, usercpu_time_millis_training: 2.79,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.5213, kb_relative_information_score: 0.3545, 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: 0.9992, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1258.8063, usercpu_time_millis: 0.437, usercpu_time_millis_testing: 0.087, usercpu_time_millis_training: 0.35,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.5439, kappa: 0.0379, kb_relative_information_score: 62.1178, mean_absolute_error: 0.4081, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7791, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.9055, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4375, root_relative_squared_error: 0.9217, scimark_benchmark: 1281.6504, usercpu_time_millis: 0.477, usercpu_time_millis_testing: 0.07, usercpu_time_millis_training: 0.407,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4964, f_measure: 0.5213, kb_relative_information_score: -0.2411, 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: 1286.2577, usercpu_time_millis: 0.849, usercpu_time_millis_testing: 0.159, usercpu_time_millis_training: 0.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.802, f_measure: 0.5213, kb_relative_information_score: 36.3439, mean_absolute_error: 0.4266, 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: 0.9464, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4519, root_relative_squared_error: 0.9522, scimark_benchmark: 1274.0004, usercpu_time_millis: 2.54, usercpu_time_millis_testing: 0.434, usercpu_time_millis_training: 2.106,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9615, f_measure: 0.885, kappa: 0.7417, kb_relative_information_score: 268.9466, mean_absolute_error: 0.2701, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8864, predictive_accuracy: 0.8869, prior_entropy: 0.9279, recall: 0.8869, relative_absolute_error: 0.5993, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3201, root_relative_squared_error: 0.6743, scimark_benchmark: 1249.653, usercpu_time_millis: 1.904, usercpu_time_millis_testing: 0.296, usercpu_time_millis_training: 1.608,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6264, f_measure: 0.5213, kb_relative_information_score: 10.0055, mean_absolute_error: 0.4405, 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: 0.9773, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.466, root_relative_squared_error: 0.9818, scimark_benchmark: 1274.483, usercpu_time_millis: 0.108, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.077,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5468, f_measure: 0.5213, kb_relative_information_score: -1.213, mean_absolute_error: 0.4494, 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: 0.9971, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9981, scimark_benchmark: 1255.1874, usercpu_time_millis: 1.92, usercpu_time_millis_testing: 0.444, usercpu_time_millis_training: 1.476,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 548.0497, mean_absolute_error: 0.0516, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1145, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0847, root_relative_squared_error: 0.1785, scimark_benchmark: 1263.0071, usercpu_time_millis: 1.568, usercpu_time_millis_testing: 0.237, usercpu_time_millis_training: 1.331,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9473, f_measure: 0.5213, kb_relative_information_score: 84.2082, mean_absolute_error: 0.4016, 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: 0.8911, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4275, root_relative_squared_error: 0.9006, scimark_benchmark: 1266.0025, usercpu_time_millis: 2.657, usercpu_time_millis_testing: 0.429, usercpu_time_millis_training: 2.228,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9719, f_measure: 0.8819, kappa: 0.7321, kb_relative_information_score: 230.8457, mean_absolute_error: 0.3026, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8949, predictive_accuracy: 0.8869, prior_entropy: 0.9279, recall: 0.8869, relative_absolute_error: 0.6713, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3407, root_relative_squared_error: 0.7178, scimark_benchmark: 1267.3027, usercpu_time_millis: 0.783, usercpu_time_millis_testing: 0.089, usercpu_time_millis_training: 0.694,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5398, f_measure: 0.5213, kb_relative_information_score: -3.2089, 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: 0.9972, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4737, root_relative_squared_error: 0.9981, scimark_benchmark: 1292.5674, usercpu_time_millis: 0.338, usercpu_time_millis_testing: 0.059, usercpu_time_millis_training: 0.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7235, f_measure: 0.5213, kb_relative_information_score: 24.1294, mean_absolute_error: 0.4331, 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: 0.9609, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4586, root_relative_squared_error: 0.9662, scimark_benchmark: 1268.9144, usercpu_time_millis: 1.853, usercpu_time_millis_testing: 0.34, usercpu_time_millis_training: 1.513,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9833, kappa: 0.963, kb_relative_information_score: 388.4472, mean_absolute_error: 0.1909, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9833, predictive_accuracy: 0.9834, prior_entropy: 0.9279, recall: 0.9834, relative_absolute_error: 0.4236, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.227, root_relative_squared_error: 0.4782, scimark_benchmark: 1257.5444, usercpu_time_millis: 3.952, usercpu_time_millis_testing: 0.579, usercpu_time_millis_training: 3.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8807, f_measure: 0.6936, kappa: 0.3183, kb_relative_information_score: 108.8454, mean_absolute_error: 0.38, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8174, predictive_accuracy: 0.7471, prior_entropy: 0.9279, recall: 0.7471, relative_absolute_error: 0.8431, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.413, root_relative_squared_error: 0.8701, scimark_benchmark: 1176.49, usercpu_time_millis: 2.386, usercpu_time_millis_testing: 0.448, usercpu_time_millis_training: 1.938,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6443, f_measure: 0.5213, kb_relative_information_score: 15.5605, mean_absolute_error: 0.4378, 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: 0.9713, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4643, root_relative_squared_error: 0.9782, scimark_benchmark: 1274.0118, usercpu_time_millis: 2.83, usercpu_time_millis_testing: 0.515, usercpu_time_millis_training: 2.315,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7268, f_measure: 0.5213, kb_relative_information_score: 26.2181, mean_absolute_error: 0.4315, 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: 0.9575, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4574, root_relative_squared_error: 0.9636, scimark_benchmark: 1279.1829, usercpu_time_millis: 0.703, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.618,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.9715, kappa: 0.9363, kb_relative_information_score: 337.868, mean_absolute_error: 0.2302, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9723, predictive_accuracy: 0.9717, prior_entropy: 0.9279, recall: 0.9717, relative_absolute_error: 0.5108, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2675, root_relative_squared_error: 0.5636, scimark_benchmark: 1230.4061, usercpu_time_millis: 3.116, usercpu_time_millis_testing: 0.482, usercpu_time_millis_training: 2.634,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5387, f_measure: 0.5213, kb_relative_information_score: -4.357, 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: 0.4739, root_relative_squared_error: 0.9985, scimark_benchmark: 1264.963, usercpu_time_millis: 1.212, usercpu_time_millis_testing: 0.209, usercpu_time_millis_training: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9998, f_measure: 0.9883, kappa: 0.974, kb_relative_information_score: 399.9405, mean_absolute_error: 0.1825, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9884, predictive_accuracy: 0.9884, prior_entropy: 0.9279, recall: 0.9884, relative_absolute_error: 0.405, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2179, root_relative_squared_error: 0.459, scimark_benchmark: 1282.0945, usercpu_time_millis: 6.256, usercpu_time_millis_testing: 1.11, usercpu_time_millis_training: 5.146,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5272, f_measure: 0.5213, kb_relative_information_score: -2.3919, mean_absolute_error: 0.4487, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9954, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9976, scimark_benchmark: 1270.4828, usercpu_time_millis: 2.032, usercpu_time_millis_testing: 0.384, usercpu_time_millis_training: 1.648,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5227, f_measure: 0.5213, kb_relative_information_score: -1.1238, mean_absolute_error: 0.4486, 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: 0.9953, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.999, scimark_benchmark: 1279.5165, usercpu_time_millis: 1.369, usercpu_time_millis_testing: 0.287, usercpu_time_millis_training: 1.082,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6218, f_measure: 0.5213, kb_relative_information_score: 9.4978, mean_absolute_error: 0.442, 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: 0.9807, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9848, scimark_benchmark: 1280.8228, usercpu_time_millis: 0.927, usercpu_time_millis_testing: 0.153, usercpu_time_millis_training: 0.774,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6292, f_measure: 0.5213, kb_relative_information_score: 4.566, mean_absolute_error: 0.4461, 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: 0.9897, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4705, root_relative_squared_error: 0.9913, scimark_benchmark: 1221.9455, usercpu_time_millis: 1.958, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 1.553,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.999, f_measure: 0.9783, kappa: 0.9516, kb_relative_information_score: 371.0996, mean_absolute_error: 0.2039, 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: 0.4524, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.242, root_relative_squared_error: 0.5098, scimark_benchmark: 1281.8212, usercpu_time_millis: 2.271, usercpu_time_millis_testing: 0.309, usercpu_time_millis_training: 1.962,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7475, f_measure: 0.5213, kb_relative_information_score: 19.7786, mean_absolute_error: 0.4367, 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: 0.9689, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4613, root_relative_squared_error: 0.9719, scimark_benchmark: 1276.6402, usercpu_time_millis: 2.571, usercpu_time_millis_testing: 0.445, usercpu_time_millis_training: 2.126,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5073, f_measure: 0.5213, kb_relative_information_score: -5.3481, 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: 0.9977, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0003, scimark_benchmark: 1248.4742, usercpu_time_millis: 1.31, usercpu_time_millis_testing: 0.181, usercpu_time_millis_training: 1.129,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.995, kappa: 0.9889, kb_relative_information_score: 420.7348, mean_absolute_error: 0.1663, 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: 0.369, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1995, root_relative_squared_error: 0.4204, scimark_benchmark: 1301.7277, usercpu_time_millis: 8.829, usercpu_time_millis_testing: 1.139, usercpu_time_millis_training: 7.69,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 0.995, kappa: 0.9889, kb_relative_information_score: 485.5344, mean_absolute_error: 0.1097, 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: 0.2434, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1432, root_relative_squared_error: 0.3016, scimark_benchmark: 1293.7539, usercpu_time_millis: 7.45, usercpu_time_millis_testing: 0.788, usercpu_time_millis_training: 6.662,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 537.1953, mean_absolute_error: 0.0621, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.1377, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0944, root_relative_squared_error: 0.1989, scimark_benchmark: 1298.4229, usercpu_time_millis: 8.697, usercpu_time_millis_testing: 0.854, usercpu_time_millis_training: 7.843,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: 27.7839, mean_absolute_error: 0.4296, 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: 0.953, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.457, root_relative_squared_error: 0.9629, scimark_benchmark: 1268.6127, usercpu_time_millis: 3.132, usercpu_time_millis_testing: 0.492, usercpu_time_millis_training: 2.64,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7608, f_measure: 0.5365, kappa: 0.0254, kb_relative_information_score: 49.1954, mean_absolute_error: 0.4158, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7776, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.9226, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4446, root_relative_squared_error: 0.9366, scimark_benchmark: 1302.8444, usercpu_time_millis: 2.158, usercpu_time_millis_testing: 0.267, usercpu_time_millis_training: 1.891,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 581.89, mean_absolute_error: 0.0187, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0415, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.045, root_relative_squared_error: 0.0948, scimark_benchmark: 1296.7297, usercpu_time_millis: 3.551, usercpu_time_millis_testing: 0.643, usercpu_time_millis_training: 2.908,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8378, kappa: 0.6308, kb_relative_information_score: 177.3547, mean_absolute_error: 0.3376, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.874, predictive_accuracy: 0.8503, prior_entropy: 0.9279, recall: 0.8503, relative_absolute_error: 0.749, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3738, root_relative_squared_error: 0.7877, scimark_benchmark: 1299.994, usercpu_time_millis: 4.315, usercpu_time_millis_testing: 0.614, usercpu_time_millis_training: 3.701,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7902, f_measure: 0.5213, kb_relative_information_score: 51.8469, mean_absolute_error: 0.4161, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9232, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9348, scimark_benchmark: 1714.9414, usercpu_time_millis: 0.668, usercpu_time_millis_testing: 0.15, usercpu_time_millis_training: 0.518,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.677, f_measure: 0.5173, kappa: -0.0165, kb_relative_information_score: 27.126, mean_absolute_error: 0.4302, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4301, predictive_accuracy: 0.6489, prior_entropy: 0.9279, recall: 0.6489, relative_absolute_error: 0.9544, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4589, root_relative_squared_error: 0.9668, scimark_benchmark: 1746.6883, usercpu_time_millis: 1.694, usercpu_time_millis_testing: 0.223, usercpu_time_millis_training: 1.471,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8025, f_measure: 0.5213, kb_relative_information_score: 38.9785, mean_absolute_error: 0.4247, 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: 0.9424, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4501, root_relative_squared_error: 0.9484, scimark_benchmark: 1742.9568, usercpu_time_millis: 0.613, usercpu_time_millis_testing: 0.11, usercpu_time_millis_training: 0.503,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7293, f_measure: 0.5213, kb_relative_information_score: 22.7265, mean_absolute_error: 0.4345, 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: 0.964, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4597, root_relative_squared_error: 0.9685, scimark_benchmark: 1862.9503, usercpu_time_millis: 1.526, usercpu_time_millis_testing: 0.227, usercpu_time_millis_training: 1.299,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5217, f_measure: 0.5213, kb_relative_information_score: -4.2277, 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: 0.474, root_relative_squared_error: 0.9986, scimark_benchmark: 1742.0574, usercpu_time_millis: 0.579, usercpu_time_millis_testing: 0.091, usercpu_time_millis_training: 0.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7439, f_measure: 0.5213, kb_relative_information_score: 33.1008, mean_absolute_error: 0.4272, 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: 0.9478, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4533, root_relative_squared_error: 0.9551, scimark_benchmark: 1859.6936, usercpu_time_millis: 1.193, usercpu_time_millis_testing: 0.149, usercpu_time_millis_training: 1.044,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8574, f_measure: 0.7066, kappa: 0.3437, kb_relative_information_score: 95.4444, mean_absolute_error: 0.3867, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8109, predictive_accuracy: 0.7537, prior_entropy: 0.9279, recall: 0.7537, relative_absolute_error: 0.8579, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4165, root_relative_squared_error: 0.8774, scimark_benchmark: 1854.3038, usercpu_time_millis: 2.292, usercpu_time_millis_testing: 0.307, usercpu_time_millis_training: 1.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4965, f_measure: 0.5213, kb_relative_information_score: -0.2694, mean_absolute_error: 0.4507, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1, scimark_benchmark: 1863.4812, usercpu_time_millis: 0.748, usercpu_time_millis_testing: 0.112, usercpu_time_millis_training: 0.636,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.995, f_measure: 0.9545, kappa: 0.8978, kb_relative_information_score: 301.8928, mean_absolute_error: 0.2556, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9565, predictive_accuracy: 0.9551, prior_entropy: 0.9279, recall: 0.9551, relative_absolute_error: 0.5672, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2922, root_relative_squared_error: 0.6157, scimark_benchmark: 1862.3618, usercpu_time_millis: 4.43, usercpu_time_millis_testing: 0.488, usercpu_time_millis_training: 3.942,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5788, f_measure: 0.5213, kb_relative_information_score: 4.6495, mean_absolute_error: 0.4436, 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: 0.9842, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4694, root_relative_squared_error: 0.989, scimark_benchmark: 1861.3236, usercpu_time_millis: 0.934, usercpu_time_millis_testing: 0.125, usercpu_time_millis_training: 0.809,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7275, f_measure: 0.5213, kb_relative_information_score: 22.3372, mean_absolute_error: 0.4346, 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: 0.9642, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4598, root_relative_squared_error: 0.9688, scimark_benchmark: 1856.0093, usercpu_time_millis: 1.298, usercpu_time_millis_testing: 0.187, usercpu_time_millis_training: 1.111,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4925, f_measure: 0.5213, kb_relative_information_score: 0.0433, 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: 1855.0134, usercpu_time_millis: 0.801, usercpu_time_millis_testing: 0.268, usercpu_time_millis_training: 0.533,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8877, f_measure: 0.6458, kappa: 0.2235, kb_relative_information_score: 97.5929, mean_absolute_error: 0.3881, 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: 0.8611, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.419, root_relative_squared_error: 0.8828, scimark_benchmark: 1853.454, usercpu_time_millis: 1.41, usercpu_time_millis_testing: 0.188, usercpu_time_millis_training: 1.222,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5213, kb_relative_information_score: -0.0696, 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: 1846.7651, usercpu_time_millis: 0.666, usercpu_time_millis_testing: 0.129, usercpu_time_millis_training: 0.537,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8599, f_measure: 0.6604, kappa: 0.2519, kb_relative_information_score: 92.8611, mean_absolute_error: 0.3889, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8072, predictive_accuracy: 0.7271, prior_entropy: 0.9279, recall: 0.7271, relative_absolute_error: 0.8628, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4207, root_relative_squared_error: 0.8864, scimark_benchmark: 1847.817, usercpu_time_millis: 2.501, usercpu_time_millis_testing: 0.324, usercpu_time_millis_training: 2.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9989, f_measure: 0.9594, kappa: 0.9088, kb_relative_information_score: 289.7, mean_absolute_error: 0.2687, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9624, predictive_accuracy: 0.9601, prior_entropy: 0.9279, recall: 0.9601, relative_absolute_error: 0.5961, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3009, root_relative_squared_error: 0.634, scimark_benchmark: 1862.82, usercpu_time_millis: 1.843, usercpu_time_millis_testing: 0.211, usercpu_time_millis_training: 1.632,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6543, f_measure: 0.5213, kb_relative_information_score: 16.0824, mean_absolute_error: 0.4382, 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: 0.9721, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4637, root_relative_squared_error: 0.9769, scimark_benchmark: 1860.2646, usercpu_time_millis: 0.171, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 0.119,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9145, f_measure: 0.797, kappa: 0.5391, kb_relative_information_score: 147.5633, mean_absolute_error: 0.356, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8579, predictive_accuracy: 0.8186, prior_entropy: 0.9279, recall: 0.8186, relative_absolute_error: 0.7899, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3918, root_relative_squared_error: 0.8254, scimark_benchmark: 1445.9377, usercpu_time_millis: 3.591, usercpu_time_millis_testing: 0.458, usercpu_time_millis_training: 3.133,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8568, f_measure: 0.5213, kb_relative_information_score: 56.1844, mean_absolute_error: 0.4152, 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: 0.9213, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4414, root_relative_squared_error: 0.93, scimark_benchmark: 1454.2804, usercpu_time_millis: 2.518, usercpu_time_millis_testing: 0.405, usercpu_time_millis_training: 2.113,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9087, f_measure: 0.6936, kappa: 0.3183, kb_relative_information_score: 111.698, mean_absolute_error: 0.3795, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8174, predictive_accuracy: 0.7471, prior_entropy: 0.9279, recall: 0.7471, relative_absolute_error: 0.842, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.411, root_relative_squared_error: 0.8659, scimark_benchmark: 1442.2402, usercpu_time_millis: 1.585, usercpu_time_millis_testing: 0.201, usercpu_time_millis_training: 1.384,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.793, f_measure: 0.5213, kb_relative_information_score: 31.1374, mean_absolute_error: 0.4302, 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: 0.9545, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4552, root_relative_squared_error: 0.9591, scimark_benchmark: 1445.1572, usercpu_time_millis: 1.486, usercpu_time_millis_testing: 0.226, usercpu_time_millis_training: 1.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5266, f_measure: 0.5213, kb_relative_information_score: -2.8656, 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: 0.9942, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9977, scimark_benchmark: 1384.2933, usercpu_time_millis: 0.984, usercpu_time_millis_testing: 0.172, usercpu_time_millis_training: 0.812,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6334, f_measure: 0.5213, kb_relative_information_score: 5.2185, 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: 0.9888, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4701, root_relative_squared_error: 0.9904, scimark_benchmark: 1371.7971, usercpu_time_millis: 0.459, usercpu_time_millis_testing: 0.076, usercpu_time_millis_training: 0.383,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9679, f_measure: 0.8619, kappa: 0.6857, kb_relative_information_score: 206.0256, mean_absolute_error: 0.3186, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8868, predictive_accuracy: 0.8702, prior_entropy: 0.9279, recall: 0.8702, relative_absolute_error: 0.7069, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3565, root_relative_squared_error: 0.7512, scimark_benchmark: 1367.9468, usercpu_time_millis: 4.865, usercpu_time_millis_testing: 0.81, usercpu_time_millis_training: 4.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9818, f_measure: 0.9073, kappa: 0.7904, kb_relative_information_score: 255.7157, mean_absolute_error: 0.284, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9153, predictive_accuracy: 0.9102, prior_entropy: 0.9279, recall: 0.9102, relative_absolute_error: 0.6302, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3256, root_relative_squared_error: 0.686, scimark_benchmark: 1375.6408, usercpu_time_millis: 0.545, usercpu_time_millis_testing: 0.086, usercpu_time_millis_training: 0.459,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9922, f_measure: 0.9422, kappa: 0.8699, kb_relative_information_score: 287.6204, mean_absolute_error: 0.265, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9466, predictive_accuracy: 0.9434, prior_entropy: 0.9279, recall: 0.9434, relative_absolute_error: 0.588, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3034, root_relative_squared_error: 0.6393, scimark_benchmark: 1372.4428, usercpu_time_millis: 1.116, usercpu_time_millis_testing: 0.164, usercpu_time_millis_training: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9342, f_measure: 0.8241, kappa: 0.5994, kb_relative_information_score: 154.541, mean_absolute_error: 0.3523, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8639, predictive_accuracy: 0.8386, prior_entropy: 0.9279, recall: 0.8386, relative_absolute_error: 0.7816, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.386, root_relative_squared_error: 0.8133, scimark_benchmark: 1362.0677, usercpu_time_millis: 4.098, usercpu_time_millis_testing: 0.632, usercpu_time_millis_training: 3.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.99, kappa: 0.9778, kb_relative_information_score: 419.7604, mean_absolute_error: 0.1658, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.99, predictive_accuracy: 0.99, prior_entropy: 0.9279, recall: 0.99, relative_absolute_error: 0.3678, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2012, root_relative_squared_error: 0.4238, scimark_benchmark: 1370.245, usercpu_time_millis: 5.574, usercpu_time_millis_testing: 0.73, usercpu_time_millis_training: 4.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9291, f_measure: 0.8168, kappa: 0.5829, kb_relative_information_score: 149.3858, mean_absolute_error: 0.3544, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8553, predictive_accuracy: 0.8319, prior_entropy: 0.9279, recall: 0.8319, relative_absolute_error: 0.7863, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3875, root_relative_squared_error: 0.8163, scimark_benchmark: 1372.0268, usercpu_time_millis: 4.605, usercpu_time_millis_testing: 0.849, usercpu_time_millis_training: 3.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9994, f_measure: 0.9663, kappa: 0.9244, kb_relative_information_score: 301.989, mean_absolute_error: 0.2598, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9683, predictive_accuracy: 0.9667, prior_entropy: 0.9279, recall: 0.9667, relative_absolute_error: 0.5765, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2916, root_relative_squared_error: 0.6143, scimark_benchmark: 1370.992, usercpu_time_millis: 0.447, usercpu_time_millis_testing: 0.085, usercpu_time_millis_training: 0.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9855, f_measure: 0.9266, kappa: 0.8345, kb_relative_information_score: 252.146, mean_absolute_error: 0.2893, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9324, predictive_accuracy: 0.9285, prior_entropy: 0.9279, recall: 0.9285, relative_absolute_error: 0.6418, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3262, root_relative_squared_error: 0.6872, scimark_benchmark: 1374.53, usercpu_time_millis: 3.06, usercpu_time_millis_testing: 0.521, usercpu_time_millis_training: 2.539,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7784, f_measure: 0.5213, kb_relative_information_score: 31.8201, mean_absolute_error: 0.4293, 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: 0.9525, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4546, root_relative_squared_error: 0.9579, scimark_benchmark: 1370.6962, usercpu_time_millis: 1.816, usercpu_time_millis_testing: 0.266, usercpu_time_millis_training: 1.55,

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