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Supervised Classification on monks-problems-2

Supervised Classification on monks-problems-2

Task 146065 Supervised Classification monks-problems-2 261942 runs submitted
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6362, f_measure: 0.5181, kappa: -0.0132, kb_relative_information_score: 13.2959, mean_absolute_error: 0.4384, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4305, predictive_accuracy: 0.6506, prior_entropy: 0.9279, recall: 0.6506, relative_absolute_error: 0.9727, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9846, scimark_benchmark: 1299.3842, usercpu_time_millis: 1.499, usercpu_time_millis_testing: 0.053, usercpu_time_millis_training: 1.446,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.643, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: 14.1479, mean_absolute_error: 0.4379, 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: 0.9715, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9838, scimark_benchmark: 1297.5264, usercpu_time_millis: 1.124, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.089,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5247, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -3.7098, mean_absolute_error: 0.4499, 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: 0.9983, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1297.8124, usercpu_time_millis: 0.928, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.892,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5708, f_measure: 0.5181, kappa: -0.0132, kb_relative_information_score: 2.3495, mean_absolute_error: 0.4425, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4305, predictive_accuracy: 0.6506, prior_entropy: 0.9279, recall: 0.6506, relative_absolute_error: 0.9818, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4714, root_relative_squared_error: 0.9933, scimark_benchmark: 1299.649, usercpu_time_millis: 1.83, usercpu_time_millis_testing: 0.058, usercpu_time_millis_training: 1.772,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.5213, kb_relative_information_score: -1.318, 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: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1298.6336, usercpu_time_millis: 1.189, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.152,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5064, f_measure: 0.5213, kb_relative_information_score: -2.8019, 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: 0.4748, root_relative_squared_error: 1.0003, scimark_benchmark: 1294.185, usercpu_time_millis: 1.054, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.017,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4651, f_measure: 0.5213, kb_relative_information_score: 1.5888, mean_absolute_error: 0.4479, 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: 0.9937, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.999, scimark_benchmark: 1299.0814, usercpu_time_millis: 0.855, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.819,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5032, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -6.122, mean_absolute_error: 0.4525, 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: 1.0039, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0021, scimark_benchmark: 1272.8131, usercpu_time_millis: 0.993, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.957,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.5213, kb_relative_information_score: -4.2998, 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: 0.4762, root_relative_squared_error: 1.0032, scimark_benchmark: 1289.0794, usercpu_time_millis: 0.822, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -6.1694, mean_absolute_error: 0.4525, 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: 1.0039, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0021, scimark_benchmark: 1281.3502, usercpu_time_millis: 0.989, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.948,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6262, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: 12.5851, mean_absolute_error: 0.4391, 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: 0.9741, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4677, root_relative_squared_error: 0.9854, scimark_benchmark: 1279.6896, usercpu_time_millis: 1.021, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.985,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4803, f_measure: 0.5213, kb_relative_information_score: -4.387, mean_absolute_error: 0.4515, 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: 1.0017, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0012, scimark_benchmark: 1274.908, usercpu_time_millis: 0.846, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7572, f_measure: 0.5348, kappa: -0.0019, kb_relative_information_score: 51.4656, mean_absolute_error: 0.4112, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.546, predictive_accuracy: 0.6456, prior_entropy: 0.9279, recall: 0.6456, relative_absolute_error: 0.9124, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9451, scimark_benchmark: 1284.1613, usercpu_time_millis: 1.703, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.661,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5372, f_measure: 0.5213, kb_relative_information_score: -1.344, 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: 0.4739, root_relative_squared_error: 0.9984, scimark_benchmark: 1263.6368, usercpu_time_millis: 1.646, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 330.0086, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6694, scimark_benchmark: 1285.6208, usercpu_time_millis: 1.59, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 1.545,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8737, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 329.8519, mean_absolute_error: 0.2083, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4621, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6696, scimark_benchmark: 1279.1629, usercpu_time_millis: 1.468, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.425,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 303.9746, mean_absolute_error: 0.2219, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6798, scimark_benchmark: 1302.1788, usercpu_time_millis: 1.39, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.347,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5045, f_measure: 0.5213, kb_relative_information_score: -3.7942, mean_absolute_error: 0.4515, 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: 1.0017, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0006, scimark_benchmark: 1298.0541, usercpu_time_millis: 0.952, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5094, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -6.1377, mean_absolute_error: 0.4525, 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: 1.0039, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, scimark_benchmark: 1293.2907, usercpu_time_millis: 0.928, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.89,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6193, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: 10.986, mean_absolute_error: 0.4402, 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: 0.9766, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4684, root_relative_squared_error: 0.9869, scimark_benchmark: 1278.7601, usercpu_time_millis: 0.942, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.907,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5513, f_measure: 0.5213, kb_relative_information_score: 2.1014, mean_absolute_error: 0.4478, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9935, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4736, root_relative_squared_error: 0.9978, scimark_benchmark: 1294.1757, usercpu_time_millis: 1.333, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.285,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.504, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -6.1691, mean_absolute_error: 0.4525, 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: 1.0039, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0021, scimark_benchmark: 1296.1705, usercpu_time_millis: 1.328, usercpu_time_millis_testing: 0.054, usercpu_time_millis_training: 1.274,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.509, f_measure: 0.5213, kb_relative_information_score: -5.9294, mean_absolute_error: 0.4523, 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: 1.0034, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.001, scimark_benchmark: 1295.4913, usercpu_time_millis: 0.869, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.836,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 330.0086, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6694, scimark_benchmark: 1298.4723, usercpu_time_millis: 1.533, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.495,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.4535, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6796, scimark_benchmark: 1298.0485, usercpu_time_millis: 1.957, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.913,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5235, f_measure: 0.5213, kb_relative_information_score: -3.2105, 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: 0.4748, root_relative_squared_error: 1.0003, scimark_benchmark: 1296.9784, usercpu_time_millis: 1.112, usercpu_time_millis_testing: 0.052, usercpu_time_millis_training: 1.06,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5467, f_measure: 0.5235, kappa: -0.0003, kb_relative_information_score: 0.2241, mean_absolute_error: 0.4484, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5462, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9949, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4734, root_relative_squared_error: 0.9974, scimark_benchmark: 1298.0384, usercpu_time_millis: 1.078, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.04,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4865, f_measure: 0.5213, kb_relative_information_score: -4.2207, 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: 1.0016, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0005, scimark_benchmark: 1283.7773, usercpu_time_millis: 1.227, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.188,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8407, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 321.9442, mean_absolute_error: 0.2148, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4767, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3233, root_relative_squared_error: 0.6811, scimark_benchmark: 1295.1521, usercpu_time_millis: 1.403, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.362,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.4544, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6796, scimark_benchmark: 1272.9359, usercpu_time_millis: 1.344, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 1.294,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4872, f_measure: 0.5213, kb_relative_information_score: -0.0031, mean_absolute_error: 0.449, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9962, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0006, scimark_benchmark: 1273.9857, usercpu_time_millis: 0.814, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.776,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8752, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.3766, mean_absolute_error: 0.2215, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4915, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6796, scimark_benchmark: 1286.9461, usercpu_time_millis: 1.759, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.719,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7557, f_measure: 0.5355, kappa: -0.0153, kb_relative_information_score: 55.6825, mean_absolute_error: 0.4075, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5309, predictive_accuracy: 0.6339, prior_entropy: 0.9279, recall: 0.6339, relative_absolute_error: 0.9042, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4465, root_relative_squared_error: 0.9407, scimark_benchmark: 1294.3078, usercpu_time_millis: 1.455, usercpu_time_millis_testing: 0.056, usercpu_time_millis_training: 1.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7629, f_measure: 0.5442, kappa: -0.0002, kb_relative_information_score: 59.0273, mean_absolute_error: 0.4059, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5492, predictive_accuracy: 0.6373, prior_entropy: 0.9279, recall: 0.6373, relative_absolute_error: 0.9005, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4451, root_relative_squared_error: 0.9377, scimark_benchmark: 1296.5851, usercpu_time_millis: 2.219, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 2.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4926, f_measure: 0.5213, kb_relative_information_score: -8.9689, mean_absolute_error: 0.4532, 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: 1.0055, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.003, scimark_benchmark: 1276.7126, usercpu_time_millis: 0.863, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.828,
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0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.4455, mean_absolute_error: 0.2214, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4913, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3225, root_relative_squared_error: 0.6796, scimark_benchmark: 1274.5585, usercpu_time_millis: 1.797, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 1.753,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5585, f_measure: 0.5213, kb_relative_information_score: 1.1784, mean_absolute_error: 0.4491, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9964, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4735, root_relative_squared_error: 0.9977, scimark_benchmark: 1289.4609, usercpu_time_millis: 0.813, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.78,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9996, f_measure: 0.9816, kappa: 0.9589, kb_relative_information_score: 498.6676, mean_absolute_error: 0.0958, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.982, predictive_accuracy: 0.9817, prior_entropy: 0.9279, recall: 0.9817, relative_absolute_error: 0.2125, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.1376, root_relative_squared_error: 0.2898, scimark_benchmark: 1297.3015, usercpu_time_millis: 7.7, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 7.666,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5268, f_measure: 0.5213, kb_relative_information_score: -2.1228, mean_absolute_error: 0.45, 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: 0.4738, root_relative_squared_error: 0.9982, scimark_benchmark: 1296.4114, usercpu_time_millis: 9.05, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 9.013,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7213, f_measure: 0.596, kappa: 0.0947, kb_relative_information_score: 62.0725, mean_absolute_error: 0.4007, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6191, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.889, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4455, root_relative_squared_error: 0.9385, scimark_benchmark: 1289.164, usercpu_time_millis: 1.534, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.488,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4528, f_measure: 0.5213, kb_relative_information_score: -7.4889, mean_absolute_error: 0.4528, 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: 1.0046, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4784, root_relative_squared_error: 1.0078, scimark_benchmark: 1280.8004, usercpu_time_millis: 1.502, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5395, f_measure: 0.5213, kb_relative_information_score: -1.5262, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9994, scimark_benchmark: 1281.2398, usercpu_time_millis: 0.836, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.804,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5249, f_measure: 0.5213, kb_relative_information_score: -2.1943, 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: 0.4743, root_relative_squared_error: 0.9993, scimark_benchmark: 1300.3918, usercpu_time_millis: 0.85, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.815,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4878, f_measure: 0.5213, kb_relative_information_score: -1.4244, 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: 0.4754, root_relative_squared_error: 1.0017, scimark_benchmark: 1296.3839, usercpu_time_millis: 0.944, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.912,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5355, f_measure: 0.5213, kb_relative_information_score: -1.9833, 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: 0.4739, root_relative_squared_error: 0.9985, scimark_benchmark: 1276.3742, usercpu_time_millis: 1.198, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.159,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5213, kb_relative_information_score: -4.8681, mean_absolute_error: 0.452, 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: 1.0027, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0018, scimark_benchmark: 1280.6763, usercpu_time_millis: 0.863, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.827,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 330.0086, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6694, scimark_benchmark: 1302.3062, usercpu_time_millis: 1.276, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.237,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9295, f_measure: 0.9255, kappa: 0.8355, kb_relative_information_score: 427.0265, mean_absolute_error: 0.1445, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9263, predictive_accuracy: 0.9251, prior_entropy: 0.9279, recall: 0.9251, relative_absolute_error: 0.3206, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2577, root_relative_squared_error: 0.543, scimark_benchmark: 1293.4096, usercpu_time_millis: 5.551, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 5.515,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5258, f_measure: 0.5213, kb_relative_information_score: -2.5076, 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: 0.999, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1275.8558, usercpu_time_millis: 1.782, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.745,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7261, f_measure: 0.5252, kappa: -0.0173, kb_relative_information_score: 42.9786, mean_absolute_error: 0.4152, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5106, predictive_accuracy: 0.6423, prior_entropy: 0.9279, recall: 0.6423, relative_absolute_error: 0.9212, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4523, root_relative_squared_error: 0.9529, scimark_benchmark: 1298.118, usercpu_time_millis: 1.201, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.162,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4857, f_measure: 0.5213, kb_relative_information_score: -3.9871, mean_absolute_error: 0.4512, 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: 1.0011, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0006, scimark_benchmark: 1297.3528, usercpu_time_millis: 0.853, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5089, f_measure: 0.5213, kb_relative_information_score: -4.5051, 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: 0.4745, root_relative_squared_error: 0.9997, scimark_benchmark: 1267.1801, usercpu_time_millis: 0.85, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.814,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4887, f_measure: 0.5213, kb_relative_information_score: -5.6963, mean_absolute_error: 0.4517, 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: 1.0021, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.002, scimark_benchmark: 1270.9872, usercpu_time_millis: 0.825, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.791,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.556, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -0.9344, mean_absolute_error: 0.4462, 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: 0.99, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4729, root_relative_squared_error: 0.9964, scimark_benchmark: 1297.1239, usercpu_time_millis: 1.287, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.25,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5213, kb_relative_information_score: -3.0795, mean_absolute_error: 0.4512, 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: 1.0011, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0013, scimark_benchmark: 1296.0953, usercpu_time_millis: 0.805, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5235, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -3.3421, mean_absolute_error: 0.4497, 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: 0.9978, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 0.9998, scimark_benchmark: 1270.9337, usercpu_time_millis: 1.007, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.973,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9165, f_measure: 0.8917, kappa: 0.7591, kb_relative_information_score: 289.2086, mean_absolute_error: 0.2539, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8915, predictive_accuracy: 0.8918, prior_entropy: 0.9279, recall: 0.8918, relative_absolute_error: 0.5634, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3271, root_relative_squared_error: 0.6892, scimark_benchmark: 1297.5945, usercpu_time_millis: 4.12, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 4.081,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5583, f_measure: 0.5194, kappa: -0.0167, kb_relative_information_score: 0.7111, mean_absolute_error: 0.4452, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4729, predictive_accuracy: 0.6473, prior_entropy: 0.9279, recall: 0.6473, relative_absolute_error: 0.9877, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.999, scimark_benchmark: 1296.1616, usercpu_time_millis: 1.108, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.066,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9751, f_measure: 0.9372, kappa: 0.8616, kb_relative_information_score: 454.2457, mean_absolute_error: 0.1219, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9384, predictive_accuracy: 0.9368, prior_entropy: 0.9279, recall: 0.9368, relative_absolute_error: 0.2704, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.23, root_relative_squared_error: 0.4845, scimark_benchmark: 1280.4789, usercpu_time_millis: 6.438, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 6.402,
0 likes - 0 downloads - 0 reach - No evaluations yet (or not applicable). Evaluation Engine Exception: Run description file not present.
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.469, f_measure: 0.5213, kb_relative_information_score: -9.6502, mean_absolute_error: 0.4544, 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: 1.0081, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0041, scimark_benchmark: 1291.1857, usercpu_time_millis: 0.831, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6346, f_measure: 0.5181, kappa: -0.0132, kb_relative_information_score: 13.2759, mean_absolute_error: 0.4385, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4305, predictive_accuracy: 0.6506, prior_entropy: 0.9279, recall: 0.6506, relative_absolute_error: 0.973, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9847, scimark_benchmark: 1299.9104, usercpu_time_millis: 1.074, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5072, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -5.4618, mean_absolute_error: 0.4511, 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: 1.0009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0016, scimark_benchmark: 1269.5155, usercpu_time_millis: 0.899, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.729, f_measure: 0.5243, kappa: -0.0205, kb_relative_information_score: 41.1276, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5057, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4536, root_relative_squared_error: 0.9556, scimark_benchmark: 1274.684, usercpu_time_millis: 1.288, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.248,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5248, f_measure: 0.5213, kb_relative_information_score: -4.1325, mean_absolute_error: 0.4512, 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: 1.001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0004, scimark_benchmark: 1276.8284, usercpu_time_millis: 0.958, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 0.911,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.514, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -6.1179, mean_absolute_error: 0.4525, 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: 1.0039, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, scimark_benchmark: 1239.2811, usercpu_time_millis: 0.918, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 330.0086, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6694, scimark_benchmark: 1272.7, usercpu_time_millis: 1.377, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.338,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8806, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 330.0086, mean_absolute_error: 0.2082, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8847, predictive_accuracy: 0.8602, prior_entropy: 0.9279, recall: 0.8602, relative_absolute_error: 0.4619, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3177, root_relative_squared_error: 0.6694, scimark_benchmark: 1276.127, usercpu_time_millis: 1.388, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.347,

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

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From your own software

Use one of our APIs to download data from OpenML and upload your results

OpenML APIs