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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: 0.5046, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -6.0607, mean_absolute_error: 0.4524, 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: 1.0037, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, scimark_benchmark: 1299.3521, usercpu_time_millis: 0.917, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.884,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6135, f_measure: 0.5133, kappa: -0.0328, kb_relative_information_score: 11.7135, mean_absolute_error: 0.4357, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4282, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9667, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4669, root_relative_squared_error: 0.9837, scimark_benchmark: 1298.2392, usercpu_time_millis: 1.163, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.125,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5232, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -3.3679, 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: 0.9999, scimark_benchmark: 1278.6715, usercpu_time_millis: 0.988, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5149, f_measure: 0.5213, kb_relative_information_score: -1.4673, 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: 0.9981, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1302.3037, usercpu_time_millis: 0.795, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.76,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5098, f_measure: 0.5213, kb_relative_information_score: -3.4618, 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: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1284.9078, usercpu_time_millis: 0.848, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.813,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7364, f_measure: 0.5216, kappa: -0.0235, kb_relative_information_score: 43.9509, mean_absolute_error: 0.4149, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4934, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9205, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4516, root_relative_squared_error: 0.9515, scimark_benchmark: 1301.5912, usercpu_time_millis: 1.283, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.241,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5234, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -3.3413, 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: 1278.9367, usercpu_time_millis: 1.028, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.992,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.922, f_measure: 0.8387, kappa: 0.634, kb_relative_information_score: 210.7188, mean_absolute_error: 0.3088, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8481, predictive_accuracy: 0.8453, prior_entropy: 0.9279, recall: 0.8453, relative_absolute_error: 0.6852, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3623, root_relative_squared_error: 0.7634, scimark_benchmark: 1301.6704, usercpu_time_millis: 2.379, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 2.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5301, f_measure: 0.5213, kb_relative_information_score: -1.1538, 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: 0.4737, root_relative_squared_error: 0.998, scimark_benchmark: 1274.3167, usercpu_time_millis: 1.039, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4746, f_measure: 0.5213, kb_relative_information_score: -5.0945, mean_absolute_error: 0.4522, 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: 1.0033, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0013, scimark_benchmark: 1285.6566, usercpu_time_millis: 1.081, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.045,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.469, f_measure: 0.5213, kb_relative_information_score: -5.4472, 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: 0.4754, root_relative_squared_error: 1.0015, scimark_benchmark: 1294.7232, usercpu_time_millis: 0.811, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.778,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.3695, 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: 1294.737, usercpu_time_millis: 1.369, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.327,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6347, f_measure: 0.5304, kappa: -0.0113, kb_relative_information_score: 19.5683, mean_absolute_error: 0.4314, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5285, predictive_accuracy: 0.6423, prior_entropy: 0.9279, recall: 0.6423, relative_absolute_error: 0.9571, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4647, root_relative_squared_error: 0.9791, scimark_benchmark: 1287.3713, usercpu_time_millis: 1.164, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.122,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.5271, kappa: -0.0337, kb_relative_information_score: 58.4629, mean_absolute_error: 0.4054, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5084, predictive_accuracy: 0.6273, prior_entropy: 0.9279, recall: 0.6273, relative_absolute_error: 0.8996, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4458, root_relative_squared_error: 0.9392, scimark_benchmark: 1278.7776, usercpu_time_millis: 1.707, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.664,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 330.0077, 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: 1294.6801, usercpu_time_millis: 2.205, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 2.163,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.522, f_measure: 0.5213, kb_relative_information_score: -3.1825, mean_absolute_error: 0.4513, 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: 1.0013, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9993, scimark_benchmark: 1284.2983, usercpu_time_millis: 0.82, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4955, f_measure: 0.5213, kb_relative_information_score: -2.9351, 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: 0.475, root_relative_squared_error: 1.0007, scimark_benchmark: 1273.0503, usercpu_time_millis: 0.881, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.847,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5026, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -6.101, 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: 0.4757, root_relative_squared_error: 1.0022, scimark_benchmark: 1301.4712, usercpu_time_millis: 1.95, usercpu_time_millis_testing: 0.083, usercpu_time_millis_training: 1.867,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5087, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -5.5594, mean_absolute_error: 0.4519, 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: 1.0026, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0008, scimark_benchmark: 1300.6107, usercpu_time_millis: 0.888, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.852,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5516, f_measure: 0.5213, kb_relative_information_score: -0.4011, 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: 0.4736, root_relative_squared_error: 0.9978, scimark_benchmark: 1302.53, usercpu_time_millis: 1.023, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.989,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, f_measure: 0.5213, kb_relative_information_score: -2.2321, 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: 0.475, root_relative_squared_error: 1.0008, scimark_benchmark: 1275.0052, usercpu_time_millis: 7.715, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 7.672,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.497, f_measure: 0.5213, kb_relative_information_score: -4.6282, 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: 0.4751, root_relative_squared_error: 1.0009, scimark_benchmark: 1274.1482, usercpu_time_millis: 0.825, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.793,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5662, f_measure: 0.5181, kappa: -0.0132, kb_relative_information_score: 0.6128, mean_absolute_error: 0.442, 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: 0.9807, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4715, root_relative_squared_error: 0.9934, scimark_benchmark: 1298.1357, usercpu_time_millis: 1.228, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.186,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4824, f_measure: 0.5213, kb_relative_information_score: -6.6812, mean_absolute_error: 0.4521, 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: 1.003, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0031, scimark_benchmark: 1276.3608, usercpu_time_millis: 0.821, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.786,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5417, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -2.1976, mean_absolute_error: 0.4485, 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: 0.995, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.474, root_relative_squared_error: 0.9987, scimark_benchmark: 1276.873, usercpu_time_millis: 1.039, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.4565, 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: 1277.1153, usercpu_time_millis: 1.44, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.399,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5038, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: 2.0252, mean_absolute_error: 0.4472, 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: 0.9923, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9982, scimark_benchmark: 1272.2377, usercpu_time_millis: 0.881, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.844,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5278, f_measure: 0.5213, kb_relative_information_score: -1.7049, mean_absolute_error: 0.4498, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9979, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4743, root_relative_squared_error: 0.9992, scimark_benchmark: 1277.3987, usercpu_time_millis: 2.96, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 2.923,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4644, f_measure: 0.5213, kb_relative_information_score: -5.916, mean_absolute_error: 0.4521, 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: 1.0032, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0015, scimark_benchmark: 1334.4894, usercpu_time_millis: 0.804, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5123, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -9.3775, mean_absolute_error: 0.4531, 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: 1.0052, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4763, root_relative_squared_error: 1.0034, scimark_benchmark: 1275.0686, usercpu_time_millis: 1.181, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.139,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5065, f_measure: 0.5213, kb_relative_information_score: -1.2133, 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: 0.4735, root_relative_squared_error: 0.9977, scimark_benchmark: 1298.6526, usercpu_time_millis: 1.047, usercpu_time_millis_testing: 0.049, usercpu_time_millis_training: 0.998,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4958, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: -6.1907, mean_absolute_error: 0.4521, 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: 1.0031, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, scimark_benchmark: 1296.3215, usercpu_time_millis: 1.01, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.975,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4967, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -6.4217, mean_absolute_error: 0.4521, 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: 1.0031, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0021, scimark_benchmark: 1298.7, usercpu_time_millis: 1.093, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.055,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7067, f_measure: 0.5147, kappa: -0.0489, kb_relative_information_score: 38.2467, mean_absolute_error: 0.4168, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4689, predictive_accuracy: 0.6273, prior_entropy: 0.9279, recall: 0.6273, relative_absolute_error: 0.9247, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9589, scimark_benchmark: 1302.8607, usercpu_time_millis: 1.253, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.215,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6855, f_measure: 0.6303, kappa: 0.1781, kb_relative_information_score: 42.5365, mean_absolute_error: 0.4182, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7015, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.9278, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4551, root_relative_squared_error: 0.9587, scimark_benchmark: 1280.8984, usercpu_time_millis: 1.163, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.117,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.578, f_measure: 0.5181, kappa: -0.0132, kb_relative_information_score: 1.746, mean_absolute_error: 0.4434, 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: 0.9837, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4718, root_relative_squared_error: 0.994, scimark_benchmark: 1274.0019, usercpu_time_millis: 1.087, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.051,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6627, f_measure: 0.5412, kappa: 0.0037, kb_relative_information_score: 27.7054, mean_absolute_error: 0.4244, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5548, predictive_accuracy: 0.6439, prior_entropy: 0.9279, recall: 0.6439, relative_absolute_error: 0.9417, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4587, root_relative_squared_error: 0.9664, scimark_benchmark: 1275.3551, usercpu_time_millis: 1.144, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.104,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.4587, 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: 1284.1221, usercpu_time_millis: 1.754, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.712,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9546, f_measure: 0.8765, kappa: 0.7223, kb_relative_information_score: 309.9681, mean_absolute_error: 0.2338, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8779, predictive_accuracy: 0.8785, prior_entropy: 0.9279, recall: 0.8785, relative_absolute_error: 0.5187, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3068, root_relative_squared_error: 0.6465, scimark_benchmark: 1275.3366, usercpu_time_millis: 3.838, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 3.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5684, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: 3.8073, mean_absolute_error: 0.445, 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: 0.9874, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4716, root_relative_squared_error: 0.9936, scimark_benchmark: 1297.4275, usercpu_time_millis: 0.95, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.914,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.662, f_measure: 0.5116, kappa: -0.0392, kb_relative_information_score: 26.5551, mean_absolute_error: 0.4259, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4274, predictive_accuracy: 0.6373, prior_entropy: 0.9279, recall: 0.6373, relative_absolute_error: 0.945, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4599, root_relative_squared_error: 0.969, scimark_benchmark: 1300.679, usercpu_time_millis: 1.302, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.264,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5175, f_measure: 0.5213, kb_relative_information_score: -1.6115, 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: 0.4741, root_relative_squared_error: 0.999, scimark_benchmark: 1294.8936, usercpu_time_millis: 0.84, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.806,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4948, f_measure: 0.5213, kb_relative_information_score: 1.081, mean_absolute_error: 0.448, 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: 0.994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4738, root_relative_squared_error: 0.9982, scimark_benchmark: 1283.5578, usercpu_time_millis: 0.811, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.777,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5086, f_measure: 0.5213, kb_relative_information_score: -6.0123, 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: 0.475, root_relative_squared_error: 1.0007, scimark_benchmark: 1282.0489, usercpu_time_millis: 0.82, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4908, f_measure: 0.5213, kb_relative_information_score: -3.4443, 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: 0.476, root_relative_squared_error: 1.003, scimark_benchmark: 1288.1279, usercpu_time_millis: 0.807, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.769,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4984, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: -6.2715, mean_absolute_error: 0.4521, 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: 1.003, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, scimark_benchmark: 1279.3571, usercpu_time_millis: 0.982, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.946,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5, f_measure: 0.5213, kb_relative_information_score: -4.4581, mean_absolute_error: 0.4513, 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: 1.0013, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0006, scimark_benchmark: 1302.5703, usercpu_time_millis: 0.89, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.856,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.3262, mean_absolute_error: 0.2216, 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: 0.4917, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3226, root_relative_squared_error: 0.6797, scimark_benchmark: 1298.2397, usercpu_time_millis: 1.347, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.304,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7446, f_measure: 0.5173, kappa: -0.0395, kb_relative_information_score: 48.0775, mean_absolute_error: 0.4122, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4762, predictive_accuracy: 0.6323, prior_entropy: 0.9279, recall: 0.6323, relative_absolute_error: 0.9146, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4497, root_relative_squared_error: 0.9474, scimark_benchmark: 1285.2884, usercpu_time_millis: 1.358, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.311,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5017, f_measure: 0.5213, kb_relative_information_score: -4.4873, 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: 1.002, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.001, scimark_benchmark: 1288.0956, usercpu_time_millis: 0.89, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 0.849,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4961, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: -6.4397, mean_absolute_error: 0.4521, 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: 1.0031, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, scimark_benchmark: 1295.3454, usercpu_time_millis: 0.973, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.939,
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: 0.8822, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 328.7369, mean_absolute_error: 0.2091, 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: 0.464, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3178, root_relative_squared_error: 0.6696, scimark_benchmark: 1296.0768, usercpu_time_millis: 1.375, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.334,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6872, f_measure: 0.5145, kappa: -0.0361, kb_relative_information_score: 30.8354, mean_absolute_error: 0.4219, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4522, predictive_accuracy: 0.6373, prior_entropy: 0.9279, recall: 0.6373, relative_absolute_error: 0.9361, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4584, root_relative_squared_error: 0.9657, scimark_benchmark: 1300.0476, usercpu_time_millis: 1.349, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.306,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5034, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -5.1198, mean_absolute_error: 0.4509, 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: 1.0003, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0008, scimark_benchmark: 1291.8206, usercpu_time_millis: 1.007, usercpu_time_millis_testing: 0.06, usercpu_time_millis_training: 0.947,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7365, f_measure: 0.6058, kappa: 0.1141, kb_relative_information_score: 70.6197, mean_absolute_error: 0.3953, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6292, predictive_accuracy: 0.6639, prior_entropy: 0.9279, recall: 0.6639, relative_absolute_error: 0.877, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4412, root_relative_squared_error: 0.9296, scimark_benchmark: 1282.1955, usercpu_time_millis: 1.505, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.465,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4881, f_measure: 0.5213, kb_relative_information_score: -6.4023, mean_absolute_error: 0.4522, 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: 1.0032, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4759, root_relative_squared_error: 1.0026, scimark_benchmark: 1297.9461, usercpu_time_millis: 1.022, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.986,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6255, f_measure: 0.5293, kappa: 0.0058, kb_relative_information_score: 19.2049, mean_absolute_error: 0.4332, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5795, predictive_accuracy: 0.6556, prior_entropy: 0.9279, recall: 0.6556, relative_absolute_error: 0.9611, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4664, root_relative_squared_error: 0.9826, scimark_benchmark: 1274.215, usercpu_time_millis: 1.15, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.4348, 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: 0.3226, root_relative_squared_error: 0.6796, scimark_benchmark: 1278.1732, usercpu_time_millis: 1.541, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.499,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8043, f_measure: 0.6849, kappa: 0.2832, kb_relative_information_score: 111.3236, mean_absolute_error: 0.3699, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7026, predictive_accuracy: 0.7138, prior_entropy: 0.9279, recall: 0.7138, relative_absolute_error: 0.8208, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4197, root_relative_squared_error: 0.8842, scimark_benchmark: 1294.644, usercpu_time_millis: 1.522, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.487,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7853, f_measure: 0.7761, kappa: 0.4928, kb_relative_information_score: 94.9304, mean_absolute_error: 0.3764, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7789, predictive_accuracy: 0.7837, prior_entropy: 0.9279, recall: 0.7837, relative_absolute_error: 0.835, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4269, root_relative_squared_error: 0.8995, scimark_benchmark: 1296.1679, usercpu_time_millis: 1.646, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.606,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4827, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: 0.088, mean_absolute_error: 0.4483, 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: 0.9947, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9988, scimark_benchmark: 1309.9672, usercpu_time_millis: 0.844, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6313, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: 13.328, mean_absolute_error: 0.4387, 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: 0.9732, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9847, scimark_benchmark: 1323.5522, usercpu_time_millis: 1.064, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.026,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4809, f_measure: 0.5213, kb_relative_information_score: -5.8037, mean_absolute_error: 0.4526, 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: 1.0041, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0018, scimark_benchmark: 1326.1548, usercpu_time_millis: 0.77, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.736,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5255, f_measure: 0.5213, kb_relative_information_score: -3.9202, 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: 0.4743, root_relative_squared_error: 0.9993, scimark_benchmark: 1275.7556, usercpu_time_millis: 0.902, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5005, f_measure: 0.5213, kb_relative_information_score: -3.6327, mean_absolute_error: 0.4511, 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: 1.0009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4752, root_relative_squared_error: 1.0011, scimark_benchmark: 1277.8075, usercpu_time_millis: 0.99, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.951,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7356, f_measure: 0.5972, kappa: 0.0979, kb_relative_information_score: 72.1106, mean_absolute_error: 0.3942, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.6222, predictive_accuracy: 0.6606, prior_entropy: 0.9279, recall: 0.6606, relative_absolute_error: 0.8747, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4402, root_relative_squared_error: 0.9275, scimark_benchmark: 1268.8779, usercpu_time_millis: 1.416, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.369,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4667, f_measure: 0.5213, kb_relative_information_score: -6.3715, 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: 1.0029, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.0041, scimark_benchmark: 1300.3011, usercpu_time_millis: 2.146, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 2.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4869, f_measure: 0.5213, kb_relative_information_score: -3.7839, mean_absolute_error: 0.4508, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 1.0001, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0016, scimark_benchmark: 1288.5997, usercpu_time_millis: 1.406, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.365,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4661, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -4.8142, mean_absolute_error: 0.4511, 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: 1.0009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0031, scimark_benchmark: 1283.5253, usercpu_time_millis: 1.83, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6315, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: 13.3738, mean_absolute_error: 0.4386, 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: 0.9732, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9847, scimark_benchmark: 1269.6746, usercpu_time_millis: 1.072, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.034,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4605, f_measure: 0.5213, kb_relative_information_score: -7.6556, mean_absolute_error: 0.453, 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: 1.0051, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4764, root_relative_squared_error: 1.0038, scimark_benchmark: 1290.4315, usercpu_time_millis: 7.037, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 7.001,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4863, f_measure: 0.5213, kb_relative_information_score: -3.3431, mean_absolute_error: 0.451, 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: 1.0005, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0007, scimark_benchmark: 1269.5715, usercpu_time_millis: 0.875, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.839,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5136, f_measure: 0.5213, kb_relative_information_score: -3.7896, mean_absolute_error: 0.4511, 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: 1.0009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4755, root_relative_squared_error: 1.0019, scimark_benchmark: 1274.3953, usercpu_time_millis: 2.172, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 2.131,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8739, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 330.0075, 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: 1293.0595, usercpu_time_millis: 1.42, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.378,
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: 1295.2112, usercpu_time_millis: 1.522, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.481,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8818, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.4494, 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: 1277.97, usercpu_time_millis: 1.277, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.236,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4614, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -7.2459, mean_absolute_error: 0.4523, 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: 1.0035, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4774, root_relative_squared_error: 1.0058, scimark_benchmark: 1282.7336, usercpu_time_millis: 0.99, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.952,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9489, f_measure: 0.9255, kappa: 0.8355, kb_relative_information_score: 446.1887, mean_absolute_error: 0.1279, 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: 0.2838, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.242, root_relative_squared_error: 0.5098, scimark_benchmark: 1273.052, usercpu_time_millis: 6.253, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 6.217,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5355, f_measure: 0.5213, kb_relative_information_score: -2.6297, 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: 0.4749, root_relative_squared_error: 1.0005, scimark_benchmark: 1311.3701, usercpu_time_millis: 7.753, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 7.715,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7098, f_measure: 0.568, kappa: 0.0443, kb_relative_information_score: 53.8165, mean_absolute_error: 0.4068, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5909, predictive_accuracy: 0.6489, prior_entropy: 0.9279, recall: 0.6489, relative_absolute_error: 0.9025, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4477, root_relative_squared_error: 0.9433, scimark_benchmark: 1358.8734, usercpu_time_millis: 1.19, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.154,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5075, f_measure: 0.5213, kb_relative_information_score: -3.4406, mean_absolute_error: 0.4509, 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: 1.0004, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0011, scimark_benchmark: 1347.7257, usercpu_time_millis: 1.303, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.27,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.5213, kb_relative_information_score: -1.9846, 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: 0.9994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0006, scimark_benchmark: 1335.7577, usercpu_time_millis: 0.776, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.744,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8245, f_measure: 0.5466, kappa: 0.0408, kb_relative_information_score: 64.6815, mean_absolute_error: 0.407, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7366, predictive_accuracy: 0.6672, prior_entropy: 0.9279, recall: 0.6672, relative_absolute_error: 0.903, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4356, root_relative_squared_error: 0.9178, scimark_benchmark: 1274.7249, usercpu_time_millis: 3.601, usercpu_time_millis_testing: 0.456, usercpu_time_millis_training: 3.145,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7716, f_measure: 0.6046, kappa: 0.1443, kb_relative_information_score: 61.3008, mean_absolute_error: 0.4062, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7786, predictive_accuracy: 0.6955, prior_entropy: 0.9279, recall: 0.6955, relative_absolute_error: 0.9013, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4366, root_relative_squared_error: 0.9198, scimark_benchmark: 1264.7893, usercpu_time_millis: 12.424, usercpu_time_millis_testing: 1.294, usercpu_time_millis_training: 11.13,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9983, f_measure: 0.9784, kappa: 0.9522, kb_relative_information_score: 479.6441, mean_absolute_error: 0.1097, 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: 0.2434, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.165, root_relative_squared_error: 0.3476, scimark_benchmark: 1258.6853, usercpu_time_millis: 18.06, usercpu_time_millis_testing: 1.751, usercpu_time_millis_training: 16.309,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.924, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 75.9952, mean_absolute_error: 0.4055, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.8998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4315, root_relative_squared_error: 0.9092, scimark_benchmark: 1296.9786, usercpu_time_millis: 2.904, usercpu_time_millis_testing: 0.56, usercpu_time_millis_training: 2.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9419, f_measure: 0.7815, kappa: 0.5049, kb_relative_information_score: 148.2456, mean_absolute_error: 0.357, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8508, predictive_accuracy: 0.807, prior_entropy: 0.9279, recall: 0.807, relative_absolute_error: 0.792, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3911, root_relative_squared_error: 0.8239, scimark_benchmark: 1300.3231, usercpu_time_millis: 18.589, usercpu_time_millis_testing: 2.181, usercpu_time_millis_training: 16.408,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9513, f_measure: 0.7992, kappa: 0.544, kb_relative_information_score: 155.0501, mean_absolute_error: 0.3537, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8589, predictive_accuracy: 0.8203, prior_entropy: 0.9279, recall: 0.8203, relative_absolute_error: 0.7848, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.387, root_relative_squared_error: 0.8153, scimark_benchmark: 1273.6161, usercpu_time_millis: 5.714, usercpu_time_millis_testing: 0.643, usercpu_time_millis_training: 5.071,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8045, f_measure: 0.5213, kb_relative_information_score: 37.3788, mean_absolute_error: 0.426, 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: 0.9452, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4515, root_relative_squared_error: 0.9514, scimark_benchmark: 1278.3438, usercpu_time_millis: 10.159, usercpu_time_millis_testing: 1.392, usercpu_time_millis_training: 8.767,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8294, f_measure: 0.5213, kb_relative_information_score: 51.5289, mean_absolute_error: 0.4174, 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: 0.926, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4437, root_relative_squared_error: 0.9348, scimark_benchmark: 1295.3864, usercpu_time_millis: 6.064, usercpu_time_millis_testing: 0.804, usercpu_time_millis_training: 5.26,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9954, f_measure: 0.9511, kappa: 0.8905, kb_relative_information_score: 334.4532, mean_absolute_error: 0.2314, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9527, predictive_accuracy: 0.9517, prior_entropy: 0.9279, recall: 0.9517, relative_absolute_error: 0.5133, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2691, root_relative_squared_error: 0.5669, scimark_benchmark: 1285.0602, usercpu_time_millis: 16.59, usercpu_time_millis_testing: 1.415, usercpu_time_millis_training: 15.175,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9877, f_measure: 0.9194, kappa: 0.8178, kb_relative_information_score: 265.1867, mean_absolute_error: 0.2806, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9274, predictive_accuracy: 0.9218, prior_entropy: 0.9279, recall: 0.9218, relative_absolute_error: 0.6226, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3185, root_relative_squared_error: 0.671, scimark_benchmark: 1288.4879, usercpu_time_millis: 18.421, usercpu_time_millis_testing: 1.746, usercpu_time_millis_training: 16.675,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8943, f_measure: 0.5213, kb_relative_information_score: 67.7537, mean_absolute_error: 0.4095, 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: 0.9086, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4357, root_relative_squared_error: 0.9179, scimark_benchmark: 1285.5796, usercpu_time_millis: 3.387, usercpu_time_millis_testing: 0.459, usercpu_time_millis_training: 2.928,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7085, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: 29.9297, mean_absolute_error: 0.427, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7754, predictive_accuracy: 0.6589, prior_entropy: 0.9279, recall: 0.6589, relative_absolute_error: 0.9474, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4534, root_relative_squared_error: 0.9552, scimark_benchmark: 1299.309, usercpu_time_millis: 11.684, usercpu_time_millis_testing: 1.34, usercpu_time_millis_training: 10.344,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8653, f_measure: 0.6787, kappa: 0.2874, kb_relative_information_score: 96.2461, mean_absolute_error: 0.3869, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8059, predictive_accuracy: 0.7371, prior_entropy: 0.9279, recall: 0.7371, relative_absolute_error: 0.8585, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4184, root_relative_squared_error: 0.8815, scimark_benchmark: 1297.2816, usercpu_time_millis: 16.295, usercpu_time_millis_testing: 1.868, usercpu_time_millis_training: 14.427,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9788, f_measure: 0.8802, kappa: 0.7273, kb_relative_information_score: 200.5328, mean_absolute_error: 0.3266, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9035, predictive_accuracy: 0.8869, prior_entropy: 0.9279, recall: 0.8869, relative_absolute_error: 0.7246, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3609, root_relative_squared_error: 0.7604, scimark_benchmark: 1275.7905, usercpu_time_millis: 6.565, usercpu_time_millis_testing: 0.809, usercpu_time_millis_training: 5.756,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9542, f_measure: 0.8078, kappa: 0.5632, kb_relative_information_score: 157.5831, mean_absolute_error: 0.3524, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.863, predictive_accuracy: 0.827, prior_entropy: 0.9279, recall: 0.827, relative_absolute_error: 0.782, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3858, root_relative_squared_error: 0.8128, scimark_benchmark: 1301.7895, usercpu_time_millis: 12.372, usercpu_time_millis_testing: 1.431, usercpu_time_millis_training: 10.941,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8424, f_measure: 0.6338, kappa: 0.2005, kb_relative_information_score: 82.3909, mean_absolute_error: 0.3955, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.7998, predictive_accuracy: 0.7121, prior_entropy: 0.9279, recall: 0.7121, relative_absolute_error: 0.8774, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4262, root_relative_squared_error: 0.898, scimark_benchmark: 1300.2467, usercpu_time_millis: 10.834, usercpu_time_millis_testing: 1.229, usercpu_time_millis_training: 9.605,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.992, f_measure: 0.934, kappa: 0.8517, kb_relative_information_score: 304.3244, mean_absolute_error: 0.2533, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9367, predictive_accuracy: 0.9351, prior_entropy: 0.9279, recall: 0.9351, relative_absolute_error: 0.562, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2908, root_relative_squared_error: 0.6127, scimark_benchmark: 1303.6126, usercpu_time_millis: 22.097, usercpu_time_millis_testing: 2.036, usercpu_time_millis_training: 20.061,

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