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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: 0.491, f_measure: 0.5213, kb_relative_information_score: 0.1232, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9997, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1329.7507, usercpu_time_millis: 0.09, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.056,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.51, f_measure: 0.5213, kb_relative_information_score: -4.5645, 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: 0.4751, root_relative_squared_error: 1.0011, scimark_benchmark: 1283.4437, usercpu_time_millis: 1.235, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.199,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4876, f_measure: 0.5213, kb_relative_information_score: -4.8584, mean_absolute_error: 0.4518, 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: 1.0023, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0014, scimark_benchmark: 1266.7586, usercpu_time_millis: 0.828, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.795,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.5213, kb_relative_information_score: -2.7292, 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: 1.0008, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0016, scimark_benchmark: 1278.6031, usercpu_time_millis: 0.808, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.773,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.5213, kb_relative_information_score: -3.6018, 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: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1291.9902, usercpu_time_millis: 1.078, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.038,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.485, f_measure: 0.5213, kb_relative_information_score: -4.0915, 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: 1.0016, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.002, scimark_benchmark: 1278.1363, usercpu_time_millis: 1.492, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.453,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5084, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -6.4088, mean_absolute_error: 0.4518, 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: 1.0025, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0016, scimark_benchmark: 1295.912, usercpu_time_millis: 0.901, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.866,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4852, f_measure: 0.5213, kb_relative_information_score: -4.6704, 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: 1.0008, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.002, scimark_benchmark: 1291.4799, usercpu_time_millis: 4.565, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 4.523,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4945, f_measure: 0.5213, kb_relative_information_score: -6.464, mean_absolute_error: 0.4506, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9998, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4753, root_relative_squared_error: 1.0014, scimark_benchmark: 1277.1254, usercpu_time_millis: 1.387, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.345,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6577, f_measure: 0.5153, kappa: -0.0329, kb_relative_information_score: 23.4246, mean_absolute_error: 0.4295, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4545, predictive_accuracy: 0.6389, prior_entropy: 0.9279, recall: 0.6389, relative_absolute_error: 0.9529, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4626, root_relative_squared_error: 0.9747, scimark_benchmark: 1277.2775, usercpu_time_millis: 1.757, usercpu_time_millis_testing: 0.066, usercpu_time_millis_training: 1.691,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6412, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: 13.4317, mean_absolute_error: 0.4382, 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: 0.9723, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4673, root_relative_squared_error: 0.9845, scimark_benchmark: 1270.8099, usercpu_time_millis: 1.196, usercpu_time_millis_testing: 0.047, usercpu_time_millis_training: 1.149,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5088, f_measure: 0.5213, kb_relative_information_score: -4.0966, 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: 1.0007, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0008, scimark_benchmark: 1294.9558, usercpu_time_millis: 1.146, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.11,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5036, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -6.1639, 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: 1297.3151, usercpu_time_millis: 0.992, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.954,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4887, f_measure: 0.5213, kb_relative_information_score: -11.2505, mean_absolute_error: 0.4527, 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: 1.0045, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4765, root_relative_squared_error: 1.0039, scimark_benchmark: 1300.1066, usercpu_time_millis: 1.062, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.025,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5126, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -5.0161, mean_absolute_error: 0.4519, 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: 1.0027, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4751, root_relative_squared_error: 1.0009, scimark_benchmark: 1280.7213, usercpu_time_millis: 1.227, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.179,
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: 1301.3544, usercpu_time_millis: 1.602, usercpu_time_millis_testing: 0.048, usercpu_time_millis_training: 1.554,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6305, f_measure: 0.5051, kappa: -0.0646, kb_relative_information_score: 31.2004, mean_absolute_error: 0.4223, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4242, predictive_accuracy: 0.624, prior_entropy: 0.9279, recall: 0.624, relative_absolute_error: 0.937, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4592, root_relative_squared_error: 0.9676, scimark_benchmark: 1298.0194, usercpu_time_millis: 1.502, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.463,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7074, f_measure: 0.5345, kappa: -0.0085, kb_relative_information_score: 39.1302, mean_absolute_error: 0.4184, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5364, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9282, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4547, root_relative_squared_error: 0.9579, scimark_benchmark: 1290.7628, usercpu_time_millis: 1.445, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.402,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8741, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 330.0068, 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: 1319.2273, usercpu_time_millis: 1.315, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.279,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4831, f_measure: 0.5213, kb_relative_information_score: -4.4539, 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: 0.4762, root_relative_squared_error: 1.0034, scimark_benchmark: 1318.1408, usercpu_time_millis: 0.795, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5333, f_measure: 0.5213, kb_relative_information_score: -2.8302, 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: 1.0003, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991, scimark_benchmark: 1311.9688, usercpu_time_millis: 3.956, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 3.916,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4904, f_measure: 0.5213, kb_relative_information_score: -7.4485, 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: 0.4756, root_relative_squared_error: 1.0021, scimark_benchmark: 1293.1038, usercpu_time_millis: 1.283, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.244,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4882, f_measure: 0.5213, kb_relative_information_score: -6.1406, mean_absolute_error: 0.4524, 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: 1.0036, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.0019, scimark_benchmark: 1309.9741, usercpu_time_millis: 1.188, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.151,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5282, f_measure: 0.5213, kb_relative_information_score: -1.7404, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9994, scimark_benchmark: 1307.3976, usercpu_time_millis: 2.013, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 1.978,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6418, f_measure: 0.5173, kappa: -0.0395, kb_relative_information_score: 23.5761, mean_absolute_error: 0.4267, 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: 0.9467, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4617, root_relative_squared_error: 0.9727, scimark_benchmark: 1291.3345, usercpu_time_millis: 1.151, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.118,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5507, f_measure: 0.5213, kb_relative_information_score: -0.723, mean_absolute_error: 0.4493, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9968, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4728, root_relative_squared_error: 0.9961, scimark_benchmark: 1282.3049, usercpu_time_millis: 6.431, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 6.392,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5152, f_measure: 0.5251, kappa: 0.0064, kb_relative_information_score: -3.9323, mean_absolute_error: 0.4511, 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: 1.0009, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1290.914, usercpu_time_millis: 1.001, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.966,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4994, f_measure: 0.5213, kb_relative_information_score: -4.2729, 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: 1.0031, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4746, root_relative_squared_error: 1, scimark_benchmark: 1310.5267, usercpu_time_millis: 0.844, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.81,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8692, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 328.3837, mean_absolute_error: 0.2095, 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: 0.4648, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3189, root_relative_squared_error: 0.672, scimark_benchmark: 1306.2162, usercpu_time_millis: 1.465, usercpu_time_millis_testing: 0.042, usercpu_time_millis_training: 1.423,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7596, f_measure: 0.5374, kappa: -0.009, kb_relative_information_score: 57.5739, mean_absolute_error: 0.4065, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.538, predictive_accuracy: 0.6373, prior_entropy: 0.9279, recall: 0.6373, relative_absolute_error: 0.9018, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4456, root_relative_squared_error: 0.9388, scimark_benchmark: 1310.3451, usercpu_time_millis: 1.469, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.428,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.517, f_measure: 0.5213, kb_relative_information_score: -0.5358, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991, scimark_benchmark: 1305.9863, usercpu_time_millis: 0.8, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7189, f_measure: 0.7811, kappa: 0.5021, kb_relative_information_score: 52.998, mean_absolute_error: 0.4134, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8249, predictive_accuracy: 0.802, prior_entropy: 0.9279, recall: 0.802, relative_absolute_error: 0.9173, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4486, root_relative_squared_error: 0.9451, scimark_benchmark: 1304.2216, usercpu_time_millis: 1.327, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.284,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5213, kb_relative_information_score: -9.2803, 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: 1.0042, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0033, scimark_benchmark: 1307.0251, usercpu_time_millis: 1.218, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 1.178,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4915, f_measure: 0.5213, kb_relative_information_score: -3.9096, 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: 1.0023, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0004, scimark_benchmark: 1357.1417, usercpu_time_millis: 0.743, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.711,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 1, f_measure: 1, kappa: 1, kb_relative_information_score: 582.5539, mean_absolute_error: 0.0189, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 1, predictive_accuracy: 1, prior_entropy: 0.9279, recall: 1, relative_absolute_error: 0.0419, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.0305, root_relative_squared_error: 0.0642, scimark_benchmark: 1256.1262, usercpu_time_millis: 10.782, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 10.748,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5035, f_measure: 0.5213, kb_relative_information_score: -3.0821, 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: 0.475, root_relative_squared_error: 1.0007, scimark_benchmark: 1302.2351, usercpu_time_millis: 0.823, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.785,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.472, f_measure: 0.5213, kb_relative_information_score: -2.8429, 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: 1.0008, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4756, root_relative_squared_error: 1.002, scimark_benchmark: 1286.0049, usercpu_time_millis: 1.043, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.007,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5041, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -6.1999, 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: 1.004, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0022, scimark_benchmark: 1295.8873, usercpu_time_millis: 0.893, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.857,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.544, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -2.497, mean_absolute_error: 0.4489, 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: 0.9961, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4741, root_relative_squared_error: 0.9989, scimark_benchmark: 1301.1071, usercpu_time_millis: 0.992, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.956,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4978, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: -6.3015, 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: 1286.2957, usercpu_time_millis: 1.214, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.173,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6284, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: 12.9652, mean_absolute_error: 0.4389, 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: 0.9737, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4675, root_relative_squared_error: 0.985, scimark_benchmark: 1305.7345, usercpu_time_millis: 1.009, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.969,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8755, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 329.1778, 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: 0.4622, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3176, root_relative_squared_error: 0.6692, scimark_benchmark: 1290.2393, usercpu_time_millis: 1.543, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.502,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.5213, kb_relative_information_score: -3.2199, 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: 0.4744, root_relative_squared_error: 0.9996, scimark_benchmark: 1310.0788, usercpu_time_millis: 0.828, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4615, f_measure: 0.5213, kb_relative_information_score: -6.9802, 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: 1.0054, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4767, root_relative_squared_error: 1.0044, scimark_benchmark: 1309.2043, usercpu_time_millis: 1.171, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.134,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.872, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 329.4929, mean_absolute_error: 0.2086, 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: 0.4628, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3181, root_relative_squared_error: 0.6702, scimark_benchmark: 1310.8781, usercpu_time_millis: 1.411, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.373,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5003, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -0.4161, 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: 0.9951, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4732, root_relative_squared_error: 0.9971, scimark_benchmark: 1292.8691, usercpu_time_millis: 1.008, usercpu_time_millis_testing: 0.05, usercpu_time_millis_training: 0.958,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5053, f_measure: 0.5213, kb_relative_information_score: -2.3592, 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: 1.0007, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0017, scimark_benchmark: 1288.1113, usercpu_time_millis: 1.183, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 1.12,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5108, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -3.8386, mean_absolute_error: 0.4502, 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: 0.9988, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0005, scimark_benchmark: 1311.7948, usercpu_time_millis: 0.898, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 0.865,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6685, f_measure: 0.5153, kappa: -0.0329, kb_relative_information_score: 23.7798, mean_absolute_error: 0.4262, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.4545, predictive_accuracy: 0.6389, prior_entropy: 0.9279, recall: 0.6389, relative_absolute_error: 0.9456, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4614, root_relative_squared_error: 0.9721, scimark_benchmark: 1309.629, usercpu_time_millis: 1.207, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.17,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5444, f_measure: 0.5213, kb_relative_information_score: -0.8502, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9972, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4731, root_relative_squared_error: 0.9968, scimark_benchmark: 1289.6747, usercpu_time_millis: 1.155, usercpu_time_millis_testing: 0.046, usercpu_time_millis_training: 1.109,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5122, f_measure: 0.5213, kb_relative_information_score: -2.2093, 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: 0.4746, root_relative_squared_error: 0.9999, scimark_benchmark: 1289.2514, usercpu_time_millis: 1.048, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.014,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4974, f_measure: 0.5213, kb_relative_information_score: -3.8062, 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: 0.4745, root_relative_squared_error: 0.9997, scimark_benchmark: 1307.6149, usercpu_time_millis: 1.081, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.043,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5055, f_measure: 0.5213, kb_relative_information_score: -3.4636, 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: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1344.357, usercpu_time_millis: 0.784, usercpu_time_millis_testing: 0.032, usercpu_time_millis_training: 0.752,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5126, f_measure: 0.5213, kb_relative_information_score: -6.4226, mean_absolute_error: 0.4527, 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: 1.0043, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0009, scimark_benchmark: 1331.9281, usercpu_time_millis: 0.744, usercpu_time_millis_testing: 0.031, usercpu_time_millis_training: 0.713,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5181, f_measure: 0.5213, kb_relative_information_score: -0.3788, mean_absolute_error: 0.4494, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9971, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4748, root_relative_squared_error: 1.0004, scimark_benchmark: 1312.9717, usercpu_time_millis: 0.8, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4935, f_measure: 0.5213, kb_relative_information_score: -3.1268, 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: 1.0006, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0016, scimark_benchmark: 1313.1985, usercpu_time_millis: 0.805, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 0.762,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5039, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -6.169, 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: 1282.5244, usercpu_time_millis: 1.03, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.991,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5284, f_measure: 0.5213, kb_relative_information_score: -4.3156, 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: 1.0006, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0006, scimark_benchmark: 1291.4259, usercpu_time_millis: 1.652, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.611,
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: 0.4964, f_measure: 0.5213, kb_relative_information_score: -4.5571, 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: 0.4754, root_relative_squared_error: 1.0016, scimark_benchmark: 1284.6387, usercpu_time_millis: 3.384, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 3.346,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4998, f_measure: 0.5213, kb_relative_information_score: -3.6711, 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: 0.4754, root_relative_squared_error: 1.0016, scimark_benchmark: 1310.7685, usercpu_time_millis: 3.984, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 3.945,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5029, f_measure: 0.5213, kb_relative_information_score: -2.2227, mean_absolute_error: 0.4502, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9989, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0008, scimark_benchmark: 1293.7025, usercpu_time_millis: 6.626, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 6.588,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7585, f_measure: 0.5397, kappa: -0.006, kb_relative_information_score: 58.957, mean_absolute_error: 0.4053, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5421, predictive_accuracy: 0.6373, prior_entropy: 0.9279, recall: 0.6373, relative_absolute_error: 0.8991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4448, root_relative_squared_error: 0.9372, scimark_benchmark: 1288.7004, usercpu_time_millis: 1.396, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.353,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4783, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: 0.4218, mean_absolute_error: 0.448, 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: 0.994, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0001, scimark_benchmark: 1293.1222, usercpu_time_millis: 0.858, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 0.818,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4954, f_measure: 0.5213, kb_relative_information_score: -2.5788, mean_absolute_error: 0.4503, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9991, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.475, root_relative_squared_error: 1.0007, scimark_benchmark: 1309.2591, 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: 0.7601, f_measure: 0.5417, kappa: 0.0003, kb_relative_information_score: 55.5625, mean_absolute_error: 0.4083, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5498, predictive_accuracy: 0.6406, prior_entropy: 0.9279, recall: 0.6406, relative_absolute_error: 0.9059, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4463, root_relative_squared_error: 0.9403, scimark_benchmark: 1317.8713, usercpu_time_millis: 1.558, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.519,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.461, f_measure: 0.5213, kb_relative_information_score: -8.7121, mean_absolute_error: 0.4531, 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: 1.0052, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4777, root_relative_squared_error: 1.0064, scimark_benchmark: 1312.6742, usercpu_time_millis: 8.747, usercpu_time_millis_testing: 0.04, usercpu_time_millis_training: 8.707,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6298, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: 12.9545, mean_absolute_error: 0.4389, 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: 0.9738, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4676, root_relative_squared_error: 0.9852, scimark_benchmark: 1297.4827, usercpu_time_millis: 1.009, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 0.971,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4797, f_measure: 0.5213, kb_relative_information_score: -4.2222, 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: 0.4752, root_relative_squared_error: 1.0013, scimark_benchmark: 1291.3209, usercpu_time_millis: 1.086, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.048,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, f_measure: 0.5213, kb_relative_information_score: -3.0939, 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: 1.0006, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002, scimark_benchmark: 1305.9938, usercpu_time_millis: 0.829, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.794,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4586, f_measure: 0.5213, kb_relative_information_score: -3.5968, 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: 0.4759, root_relative_squared_error: 1.0026, scimark_benchmark: 1307.6528, usercpu_time_millis: 1.98, usercpu_time_millis_testing: 0.071, usercpu_time_millis_training: 1.909,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5119, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: -3.0914, mean_absolute_error: 0.4512, 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: 1.0012, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4745, root_relative_squared_error: 0.9997, scimark_benchmark: 1307.4818, usercpu_time_millis: 0.843, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.807,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4949, f_measure: 0.5213, kb_relative_information_score: -6.7657, 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: 1.0028, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4766, root_relative_squared_error: 1.004, scimark_benchmark: 1311.0025, usercpu_time_millis: 1.213, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 1.177,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4923, f_measure: 0.5213, kb_relative_information_score: -5.5588, 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: 1.0018, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4754, root_relative_squared_error: 1.0017, scimark_benchmark: 1294.1288, 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: 0.5215, f_measure: 0.5213, kb_relative_information_score: -4.6118, 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: 0.9939, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4742, root_relative_squared_error: 0.9991, scimark_benchmark: 1312.1474, usercpu_time_millis: 1.138, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.099,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5246, f_measure: 0.5213, kb_relative_information_score: -2.5531, 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: 0.4741, root_relative_squared_error: 0.999, scimark_benchmark: 1297.3252, usercpu_time_millis: 1.382, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 1.345,
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: 1312.44, usercpu_time_millis: 1.642, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 1.601,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9926, f_measure: 0.9633, kappa: 0.9182, kb_relative_information_score: 422.9505, mean_absolute_error: 0.1547, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.9633, predictive_accuracy: 0.9634, prior_entropy: 0.9279, recall: 0.9634, relative_absolute_error: 0.3433, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2166, root_relative_squared_error: 0.4565, scimark_benchmark: 1286.0119, usercpu_time_millis: 2.507, usercpu_time_millis_testing: 0.041, usercpu_time_millis_training: 2.466,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4983, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: -6.2948, 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: 1346.4501, usercpu_time_millis: 0.952, usercpu_time_millis_testing: 0.037, usercpu_time_millis_training: 0.915,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6679, f_measure: 0.5286, kappa: -0.0177, kb_relative_information_score: 29.2226, mean_absolute_error: 0.4245, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5192, predictive_accuracy: 0.6389, prior_entropy: 0.9279, recall: 0.6389, relative_absolute_error: 0.9418, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4596, root_relative_squared_error: 0.9683, scimark_benchmark: 1308.8111, usercpu_time_millis: 1.212, usercpu_time_millis_testing: 0.033, usercpu_time_millis_training: 1.179,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.513, f_measure: 0.5213, kb_relative_information_score: -3.0161, 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: 0.4741, root_relative_squared_error: 0.9989, scimark_benchmark: 1312.5078, usercpu_time_millis: 0.809, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 0.775,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.523, f_measure: 0.5197, kappa: -0.0066, kb_relative_information_score: -3.3913, 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: 1289.7376, usercpu_time_millis: 0.971, usercpu_time_millis_testing: 0.036, usercpu_time_millis_training: 0.935,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4898, f_measure: 0.5213, kb_relative_information_score: -5.9607, mean_absolute_error: 0.4518, 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: 1.0024, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4761, root_relative_squared_error: 1.0031, scimark_benchmark: 1310.6639, usercpu_time_millis: 0.8, usercpu_time_millis_testing: 0.035, usercpu_time_millis_training: 0.765,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4807, f_measure: 0.5213, kb_relative_information_score: -5.2349, 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: 1.0022, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4757, root_relative_squared_error: 1.0021, scimark_benchmark: 1288.0709, usercpu_time_millis: 1.007, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.968,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.875, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.4568, 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: 1305.486, usercpu_time_millis: 2.119, usercpu_time_millis_testing: 0.045, usercpu_time_millis_training: 2.074,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8751, f_measure: 0.8491, kappa: 0.6563, kb_relative_information_score: 304.0318, mean_absolute_error: 0.2218, 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: 0.4921, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3227, root_relative_squared_error: 0.68, scimark_benchmark: 1283.8829, usercpu_time_millis: 1.378, usercpu_time_millis_testing: 0.043, usercpu_time_millis_training: 1.335,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5044, f_measure: 0.5213, kb_relative_information_score: -3.8431, 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: 1.0014, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4749, root_relative_squared_error: 1.0006, scimark_benchmark: 1293.2273, usercpu_time_millis: 1.774, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.74,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7011, f_measure: 0.5495, kappa: 0.0087, kb_relative_information_score: 47.8726, mean_absolute_error: 0.4108, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.5585, predictive_accuracy: 0.6389, prior_entropy: 0.9279, recall: 0.6389, relative_absolute_error: 0.9115, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4505, root_relative_squared_error: 0.9492, scimark_benchmark: 1302.6882, usercpu_time_millis: 1.302, usercpu_time_millis_testing: 0.079, usercpu_time_millis_training: 1.223,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4934, f_measure: 0.5213, kb_relative_information_score: -9.2489, 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: 1.005, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4762, root_relative_squared_error: 1.0032, scimark_benchmark: 1342.3126, usercpu_time_millis: 1.18, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 1.141,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.4995, f_measure: 0.5205, kappa: -0.0033, kb_relative_information_score: 2.6714, mean_absolute_error: 0.4464, 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: 0.9905, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4744, root_relative_squared_error: 0.9996, scimark_benchmark: 1310.8226, usercpu_time_millis: 1.004, usercpu_time_millis_testing: 0.044, usercpu_time_millis_training: 0.96,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6312, f_measure: 0.5189, kappa: -0.0099, kb_relative_information_score: 13.2888, 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: 0.9733, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4674, root_relative_squared_error: 0.9848, scimark_benchmark: 1310.6961, usercpu_time_millis: 1.092, usercpu_time_millis_testing: 0.038, usercpu_time_millis_training: 1.054,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5198, f_measure: 0.5213, kb_relative_information_score: -0.4571, 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: 0.4744, root_relative_squared_error: 0.9996, scimark_benchmark: 1309.7205, usercpu_time_millis: 1.037, usercpu_time_millis_testing: 0.034, usercpu_time_millis_training: 1.003,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.6993, f_measure: 0.5213, kb_relative_information_score: 18.5644, mean_absolute_error: 0.4365, 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: 0.9684, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4616, root_relative_squared_error: 0.9725, scimark_benchmark: 1864.8991, usercpu_time_millis: 1.364, usercpu_time_millis_testing: 0.221, usercpu_time_millis_training: 1.143,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9986, f_measure: 0.98, kappa: 0.9557, kb_relative_information_score: 372.8496, mean_absolute_error: 0.2016, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.98, predictive_accuracy: 0.98, prior_entropy: 0.9279, recall: 0.98, relative_absolute_error: 0.4474, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2408, root_relative_squared_error: 0.5074, scimark_benchmark: 1836.7362, usercpu_time_millis: 1.378, usercpu_time_millis_testing: 0.184, usercpu_time_millis_training: 1.194,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.965, f_measure: 0.8875, kappa: 0.7448, kb_relative_information_score: 223.8654, mean_absolute_error: 0.3059, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8991, predictive_accuracy: 0.8918, prior_entropy: 0.9279, recall: 0.8918, relative_absolute_error: 0.6786, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.3461, root_relative_squared_error: 0.7291, scimark_benchmark: 1863.2815, usercpu_time_millis: 0.427, usercpu_time_millis_testing: 0.063, usercpu_time_millis_training: 0.364,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.698, f_measure: 0.5213, kb_relative_information_score: 26.5861, mean_absolute_error: 0.4312, 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: 0.9566, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4582, root_relative_squared_error: 0.9653, scimark_benchmark: 1851.8567, usercpu_time_millis: 1.303, usercpu_time_millis_testing: 0.366, usercpu_time_millis_training: 0.937,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.7009, f_measure: 0.5213, kb_relative_information_score: 25.2782, mean_absolute_error: 0.4315, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9573, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4579, root_relative_squared_error: 0.9648, scimark_benchmark: 1845.8506, usercpu_time_millis: 1.584, usercpu_time_millis_testing: 0.274, usercpu_time_millis_training: 1.31,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.9992, f_measure: 0.985, kappa: 0.9668, kb_relative_information_score: 392.2188, mean_absolute_error: 0.1864, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.985, predictive_accuracy: 0.985, prior_entropy: 0.9279, recall: 0.985, relative_absolute_error: 0.4135, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.2257, root_relative_squared_error: 0.4756, scimark_benchmark: 1867.6581, usercpu_time_millis: 0.436, usercpu_time_millis_testing: 0.039, usercpu_time_millis_training: 0.397,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.5148, f_measure: 0.5213, kb_relative_information_score: -5.7303, mean_absolute_error: 0.4495, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.432, predictive_accuracy: 0.6572, prior_entropy: 0.9279, recall: 0.6572, relative_absolute_error: 0.9973, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4747, root_relative_squared_error: 1.0002, scimark_benchmark: 1866.8213, usercpu_time_millis: 0.597, usercpu_time_millis_testing: 0.068, usercpu_time_millis_training: 0.529,
0 likes - 0 downloads - 0 reach - area_under_roc_curve: 0.8715, f_measure: 0.7196, kappa: 0.372, kb_relative_information_score: 113.82, mean_absolute_error: 0.3761, mean_prior_absolute_error: 0.4507, number_of_instances: 601, precision: 0.8262, predictive_accuracy: 0.7637, prior_entropy: 0.9279, recall: 0.7637, relative_absolute_error: 0.8345, root_mean_prior_squared_error: 0.4746, root_mean_squared_error: 0.4111, root_relative_squared_error: 0.8661, scimark_benchmark: 1877.2162, usercpu_time_millis: 0.804, usercpu_time_millis_testing: 0.107, usercpu_time_millis_training: 0.697,

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