othercriteria/amazon_machine_learning_log.txt

## amazon_machine_learning_log.txt
Message-ID: <Sun Apr 19 22:21:49 UTC 2015_349719896899-pr-ml-XNSJy2LDTht/userlog/349719896899-pr-ml-XNSJy2LDTht>
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Amazon Machine Learning


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15/04/19 22:19:25 INFO: Begin training.
15/04/19 22:19:28 INFO: initial-training: l1=0.0 l2=1.0E-6 likelihood-function=logreg max-passes=10 max-model-size=104857600 (100.00 MB)
15/04/19 22:19:28 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:28 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=1.000000e+00 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:28 INFO: learner-id=1050 active-features:           updates=0000000000 min=0000000 max=0000000 mean=0000000 total-sum=0000000000
15/04/19 22:19:28 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000000 quantile-50=0000000 quantile-90=0000000
15/04/19 22:19:28 INFO: learner-id=1050 model-status:              model-size=0 (0.00 MB) #params=0 #pruning-calls=0000000000
15/04/19 22:19:28 INFO:
15/04/19 22:19:28 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:28 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=1.000000e+00 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:28 INFO: learner-id=2101 active-features:           updates=0000000000 min=0000000 max=0000000 mean=0000000 total-sum=0000000000
15/04/19 22:19:28 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000000 quantile-50=0000000 quantile-90=0000000
15/04/19 22:19:28 INFO: learner-id=2101 model-status:              model-size=0 (0.00 MB) #params=0 #pruning-calls=0000000000
15/04/19 22:19:28 INFO:
15/04/19 22:19:28 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:28 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=1.000000e+00 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:28 INFO: learner-id=3535 active-features:           updates=0000000000 min=0000000 max=0000000 mean=0000000 total-sum=0000000000
15/04/19 22:19:28 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000000 quantile-50=0000000 quantile-90=0000000
15/04/19 22:19:28 INFO: learner-id=3535 model-status:              model-size=0 (0.00 MB) #params=0 #pruning-calls=0000000000
15/04/19 22:19:28 INFO:
15/04/19 22:19:28 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:28 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=1.000000e+00 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:28 INFO: learner-id=4202 active-features:           updates=0000000000 min=0000000 max=0000000 mean=0000000 total-sum=0000000000
15/04/19 22:19:28 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000000 quantile-50=0000000 quantile-90=0000000
15/04/19 22:19:28 INFO: learner-id=4202 model-status:              model-size=0 (0.00 MB) #params=0 #pruning-calls=0000000000
15/04/19 22:19:28 INFO:
15/04/19 22:19:28 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:28 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=1.000000e+00 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:28 INFO: learner-id=5314 active-features:           updates=0000000000 min=0000000 max=0000000 mean=0000000 total-sum=0000000000
15/04/19 22:19:28 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000000 quantile-50=0000000 quantile-90=0000000
15/04/19 22:19:28 INFO: learner-id=5314 model-status:              model-size=0 (0.00 MB) #params=0 #pruning-calls=0000000000
15/04/19 22:19:28 INFO:
15/04/19 22:19:31 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:31 INFO: learner-id=1050 model-performance:         accuracy=0.8594 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.7051
15/04/19 22:19:31 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=6.107421e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=1050 active-features:           updates=0000000064 min=0000021 max=0000021 mean=0000021 total-sum=0000001344
15/04/19 22:19:31 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=1050 model-status:              model-size=14112 (0.01 MB) #params=147 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:31 INFO: learner-id=2101 model-performance:         accuracy=0.8594 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.7293
15/04/19 22:19:31 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=4.063480e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=2101 active-features:           updates=0000000064 min=0000021 max=0000021 mean=0000021 total-sum=0000001344
15/04/19 22:19:31 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=2101 model-status:              model-size=14112 (0.01 MB) #params=147 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:31 INFO: learner-id=3535 model-performance:         accuracy=0.8906 recall=0.3333 precision=0.7500 f1-score=0.4615 auc=0.7980
15/04/19 22:19:31 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=3.411316e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=3535 active-features:           updates=0000000064 min=0000021 max=0000021 mean=0000021 total-sum=0000001344
15/04/19 22:19:31 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=3535 model-status:              model-size=14112 (0.01 MB) #params=147 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:31 INFO: learner-id=4202 model-performance:         accuracy=0.8281 recall=0.3333 precision=0.3750 f1-score=0.3529 auc=0.7111
15/04/19 22:19:31 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=8.148135e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=4202 active-features:           updates=0000000064 min=0000021 max=0000021 mean=0000021 total-sum=0000001344
15/04/19 22:19:31 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=4202 model-status:              model-size=14112 (0.01 MB) #params=147 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:31 INFO: learner-id=5314 model-performance:         accuracy=0.8281 recall=0.3333 precision=0.3750 f1-score=0.3529 auc=0.7111
15/04/19 22:19:31 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=8.148135e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=5314 active-features:           updates=0000000064 min=0000021 max=0000021 mean=0000021 total-sum=0000001344
15/04/19 22:19:31 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=5314 model-status:              model-size=14112 (0.01 MB) #params=147 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:31 INFO: learner-id=1050 model-performance:         accuracy=0.8828 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.6555
15/04/19 22:19:31 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=5.717048e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=1050 active-features:           updates=0000000128 min=0000021 max=0000021 mean=0000021 total-sum=0000002688
15/04/19 22:19:31 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=1050 model-status:              model-size=15840 (0.02 MB) #params=165 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:31 INFO: learner-id=2101 model-performance:         accuracy=0.8828 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.6903
15/04/19 22:19:31 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=3.600435e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=2101 active-features:           updates=0000000128 min=0000021 max=0000021 mean=0000021 total-sum=0000002688
15/04/19 22:19:31 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=2101 model-status:              model-size=15840 (0.02 MB) #params=165 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:31 INFO: learner-id=3535 model-performance:         accuracy=0.8750 recall=0.3333 precision=0.4545 f1-score=0.3846 auc=0.7628
15/04/19 22:19:31 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=4.071795e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=3535 active-features:           updates=0000000128 min=0000021 max=0000021 mean=0000021 total-sum=0000002688
15/04/19 22:19:31 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=3535 model-status:              model-size=15840 (0.02 MB) #params=165 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:31 INFO: learner-id=4202 model-performance:         accuracy=0.8203 recall=0.2000 precision=0.2143 f1-score=0.2069 auc=0.5965
15/04/19 22:19:31 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=1.210617e+00 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=4202 active-features:           updates=0000000128 min=0000021 max=0000021 mean=0000021 total-sum=0000002688
15/04/19 22:19:31 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=4202 model-status:              model-size=15840 (0.02 MB) #params=165 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:31 INFO: learner-id=5314 model-performance:         accuracy=0.8203 recall=0.2000 precision=0.2143 f1-score=0.2069 auc=0.5941
15/04/19 22:19:31 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=1.216609e+00 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=5314 active-features:           updates=0000000128 min=0000021 max=0000021 mean=0000021 total-sum=0000002688
15/04/19 22:19:31 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=5314 model-status:              model-size=15840 (0.02 MB) #params=165 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:31 INFO: learner-id=1050 model-performance:         accuracy=0.9180 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.7402
15/04/19 22:19:31 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=5.072945e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=1050 active-features:           updates=0000000256 min=0000021 max=0000021 mean=0000021 total-sum=0000005376
15/04/19 22:19:31 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=1050 model-status:              model-size=16992 (0.02 MB) #params=177 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:31 INFO: learner-id=2101 model-performance:         accuracy=0.9180 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.8018
15/04/19 22:19:31 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.705555e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=2101 active-features:           updates=0000000256 min=0000021 max=0000021 mean=0000021 total-sum=0000005376
15/04/19 22:19:31 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=2101 model-status:              model-size=16992 (0.02 MB) #params=177 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:31 INFO: learner-id=3535 model-performance:         accuracy=0.9102 recall=0.2857 precision=0.4286 f1-score=0.3429 auc=0.8219
15/04/19 22:19:31 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.807907e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=3535 active-features:           updates=0000000256 min=0000021 max=0000021 mean=0000021 total-sum=0000005376
15/04/19 22:19:31 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=3535 model-status:              model-size=16992 (0.02 MB) #params=177 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:31 INFO: learner-id=4202 model-performance:         accuracy=0.8828 recall=0.2381 precision=0.2632 f1-score=0.2500 auc=0.6675
15/04/19 22:19:31 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=8.103844e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=4202 active-features:           updates=0000000256 min=0000021 max=0000021 mean=0000021 total-sum=0000005376
15/04/19 22:19:31 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=4202 model-status:              model-size=16992 (0.02 MB) #params=177 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:31 INFO: learner-id=5314 model-performance:         accuracy=0.8828 recall=0.2381 precision=0.2632 f1-score=0.2500 auc=0.6683
15/04/19 22:19:31 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=8.366694e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=5314 active-features:           updates=0000000256 min=0000021 max=0000021 mean=0000021 total-sum=0000005376
15/04/19 22:19:31 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=5314 model-status:              model-size=16992 (0.02 MB) #params=177 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:31 INFO: learner-id=1050 model-performance:         accuracy=0.8945 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.5776
15/04/19 22:19:31 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=4.793907e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=1050 active-features:           updates=0000000512 min=0000021 max=0000021 mean=0000021 total-sum=0000010752
15/04/19 22:19:31 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=1050 model-status:              model-size=18048 (0.02 MB) #params=188 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:31 INFO: learner-id=2101 model-performance:         accuracy=0.8945 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.7278
15/04/19 22:19:31 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=3.074727e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=2101 active-features:           updates=0000000512 min=0000021 max=0000021 mean=0000021 total-sum=0000010752
15/04/19 22:19:31 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=2101 model-status:              model-size=18048 (0.02 MB) #params=188 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:31 INFO: learner-id=3535 model-performance:         accuracy=0.8984 recall=0.2963 precision=0.5333 f1-score=0.3810 auc=0.8101
15/04/19 22:19:31 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=3.092598e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=3535 active-features:           updates=0000000512 min=0000021 max=0000021 mean=0000021 total-sum=0000010752
15/04/19 22:19:31 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=3535 model-status:              model-size=18048 (0.02 MB) #params=188 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:31 INFO: learner-id=4202 model-performance:         accuracy=0.8672 recall=0.3519 precision=0.3654 f1-score=0.3585 auc=0.7443
15/04/19 22:19:31 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=7.333975e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=4202 active-features:           updates=0000000512 min=0000021 max=0000021 mean=0000021 total-sum=0000010752
15/04/19 22:19:31 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=4202 model-status:              model-size=18048 (0.02 MB) #params=188 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:31 INFO: learner-id=5314 model-performance:         accuracy=0.8633 recall=0.3148 precision=0.3400 f1-score=0.3269 auc=0.7212
15/04/19 22:19:31 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=9.419291e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=5314 active-features:           updates=0000000512 min=0000021 max=0000021 mean=0000021 total-sum=0000010752
15/04/19 22:19:31 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:31 INFO: learner-id=5314 model-status:              model-size=18048 (0.02 MB) #params=188 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:31 INFO: learner-id=1050 model-performance:         accuracy=0.8877 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.6013
15/04/19 22:19:31 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=4.429160e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=1050 active-features:           updates=0000001024 min=0000021 max=0000021 mean=0000021 total-sum=0000021504
15/04/19 22:19:31 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:31 INFO: learner-id=1050 model-status:              model-size=18528 (0.02 MB) #params=193 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:31 INFO: learner-id=2101 model-performance:         accuracy=0.8887 recall=0.0087 precision=1.0000 f1-score=0.0172 auc=0.7612
15/04/19 22:19:31 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=3.074550e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=2101 active-features:           updates=0000001024 min=0000021 max=0000021 mean=0000021 total-sum=0000021504
15/04/19 22:19:31 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:31 INFO: learner-id=2101 model-status:              model-size=18528 (0.02 MB) #params=193 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:31 INFO: learner-id=3535 model-performance:         accuracy=0.8994 recall=0.3043 precision=0.6034 f1-score=0.4046 auc=0.8378
15/04/19 22:19:31 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.810262e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=3535 active-features:           updates=0000001024 min=0000021 max=0000021 mean=0000021 total-sum=0000021504
15/04/19 22:19:31 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:31 INFO: learner-id=3535 model-status:              model-size=18528 (0.02 MB) #params=193 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:31 INFO: learner-id=4202 model-performance:         accuracy=0.8779 recall=0.4348 precision=0.4545 f1-score=0.4444 auc=0.8049
15/04/19 22:19:31 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=5.696890e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=4202 active-features:           updates=0000001024 min=0000021 max=0000021 mean=0000021 total-sum=0000021504
15/04/19 22:19:31 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:31 INFO: learner-id=4202 model-status:              model-size=18528 (0.02 MB) #params=193 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:31 INFO: learner-id=5314 model-performance:         accuracy=0.8711 recall=0.4087 precision=0.4234 f1-score=0.4159 auc=0.7880
15/04/19 22:19:31 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=9.485071e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=5314 active-features:           updates=0000001024 min=0000021 max=0000021 mean=0000021 total-sum=0000021504
15/04/19 22:19:31 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:31 INFO: learner-id=5314 model-status:              model-size=18528 (0.02 MB) #params=193 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:31 INFO: learner-id=1050 model-performance:         accuracy=0.8867 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.6358
15/04/19 22:19:31 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=4.077784e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=1050 active-features:           updates=0000002048 min=0000021 max=0000021 mean=0000021 total-sum=0000043008
15/04/19 22:19:31 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:31 INFO: learner-id=1050 model-status:              model-size=19200 (0.02 MB) #params=200 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:31 INFO: learner-id=2101 model-performance:         accuracy=0.8872 recall=0.0172 precision=0.5714 f1-score=0.0335 auc=0.7936
15/04/19 22:19:31 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=3.004677e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=2101 active-features:           updates=0000002048 min=0000021 max=0000021 mean=0000021 total-sum=0000043008
15/04/19 22:19:31 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:31 INFO: learner-id=2101 model-status:              model-size=19200 (0.02 MB) #params=200 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:31 INFO: learner-id=3535 model-performance:         accuracy=0.8984 recall=0.3017 precision=0.6034 f1-score=0.4023 auc=0.8641
15/04/19 22:19:31 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.623162e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=3535 active-features:           updates=0000002048 min=0000021 max=0000021 mean=0000021 total-sum=0000043008
15/04/19 22:19:31 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:31 INFO: learner-id=3535 model-status:              model-size=19200 (0.02 MB) #params=200 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:31 INFO: learner-id=4202 model-performance:         accuracy=0.8862 recall=0.4483 precision=0.4976 f1-score=0.4717 auc=0.8368
15/04/19 22:19:31 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=4.789310e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=4202 active-features:           updates=0000002048 min=0000021 max=0000021 mean=0000021 total-sum=0000043008
15/04/19 22:19:31 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:31 INFO: learner-id=4202 model-status:              model-size=19200 (0.02 MB) #params=200 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:31 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:31 INFO: learner-id=5314 model-performance:         accuracy=0.8755 recall=0.4353 precision=0.4489 f1-score=0.4420 auc=0.8140
15/04/19 22:19:31 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=9.769620e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:31 INFO: learner-id=5314 active-features:           updates=0000002048 min=0000021 max=0000021 mean=0000021 total-sum=0000043008
15/04/19 22:19:31 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:31 INFO: learner-id=5314 model-status:              model-size=19200 (0.02 MB) #params=200 #pruning-calls=0000000000
15/04/19 22:19:31 INFO:
15/04/19 22:19:32 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:32 INFO: learner-id=1050 model-performance:         accuracy=0.8826 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.6557
15/04/19 22:19:32 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=3.838605e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:32 INFO: learner-id=1050 active-features:           updates=0000004096 min=0000021 max=0000021 mean=0000021 total-sum=0000086016
15/04/19 22:19:32 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:32 INFO: learner-id=1050 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:32 INFO:
15/04/19 22:19:32 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:32 INFO: learner-id=2101 model-performance:         accuracy=0.8882 recall=0.0707 precision=0.7556 f1-score=0.1293 auc=0.8216
15/04/19 22:19:32 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.971048e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:32 INFO: learner-id=2101 active-features:           updates=0000004096 min=0000021 max=0000021 mean=0000021 total-sum=0000086016
15/04/19 22:19:32 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:32 INFO: learner-id=2101 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:32 INFO:
15/04/19 22:19:32 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:32 INFO: learner-id=3535 model-performance:         accuracy=0.8967 recall=0.3077 precision=0.6218 f1-score=0.4117 auc=0.8894
15/04/19 22:19:32 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.494084e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:32 INFO: learner-id=3535 active-features:           updates=0000004096 min=0000021 max=0000021 mean=0000021 total-sum=0000086016
15/04/19 22:19:32 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:32 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:32 INFO:
15/04/19 22:19:32 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:32 INFO: learner-id=4202 model-performance:         accuracy=0.8831 recall=0.4574 precision=0.5023 f1-score=0.4788 auc=0.8554
15/04/19 22:19:32 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=4.225467e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:32 INFO: learner-id=4202 active-features:           updates=0000004096 min=0000021 max=0000021 mean=0000021 total-sum=0000086016
15/04/19 22:19:32 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:32 INFO: learner-id=4202 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:32 INFO:
15/04/19 22:19:32 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:32 INFO: learner-id=5314 model-performance:         accuracy=0.8687 recall=0.4283 precision=0.4392 f1-score=0.4337 auc=0.8157
15/04/19 22:19:32 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=1.145857e+00 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:32 INFO: learner-id=5314 active-features:           updates=0000004096 min=0000021 max=0000021 mean=0000021 total-sum=0000086016
15/04/19 22:19:32 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:32 INFO: learner-id=5314 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:32 INFO:
15/04/19 22:19:32 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:32 INFO: learner-id=1050 model-performance:         accuracy=0.8864 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.6930
15/04/19 22:19:32 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=3.550650e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:32 INFO: learner-id=1050 active-features:           updates=0000008192 min=0000021 max=0000021 mean=0000021 total-sum=0000172032
15/04/19 22:19:32 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:32 INFO: learner-id=1050 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:32 INFO:
15/04/19 22:19:32 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:32 INFO: learner-id=2101 model-performance:         accuracy=0.8943 recall=0.1160 precision=0.7152 f1-score=0.1996 auc=0.8438
15/04/19 22:19:32 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.807072e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:32 INFO: learner-id=2101 active-features:           updates=0000008192 min=0000021 max=0000021 mean=0000021 total-sum=0000172032
15/04/19 22:19:32 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:32 INFO: learner-id=2101 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:32 INFO:
15/04/19 22:19:32 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:32 INFO: learner-id=3535 model-performance:         accuracy=0.9010 recall=0.3169 precision=0.6277 f1-score=0.4211 auc=0.9080
15/04/19 22:19:32 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.301044e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:32 INFO: learner-id=3535 active-features:           updates=0000008192 min=0000021 max=0000021 mean=0000021 total-sum=0000172032
15/04/19 22:19:32 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:32 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:32 INFO:
15/04/19 22:19:32 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:32 INFO: learner-id=4202 model-performance:         accuracy=0.8938 recall=0.4715 precision=0.5373 f1-score=0.5023 auc=0.8737
15/04/19 22:19:32 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=3.407506e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:32 INFO: learner-id=4202 active-features:           updates=0000008192 min=0000021 max=0000021 mean=0000021 total-sum=0000172032
15/04/19 22:19:32 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:32 INFO: learner-id=4202 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:32 INFO:
15/04/19 22:19:32 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:32 INFO: learner-id=5314 model-performance:         accuracy=0.8785 recall=0.4586 precision=0.4651 f1-score=0.4619 auc=0.8309
15/04/19 22:19:32 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=1.115647e+00 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:32 INFO: learner-id=5314 active-features:           updates=0000008192 min=0000021 max=0000021 mean=0000021 total-sum=0000172032
15/04/19 22:19:32 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:32 INFO: learner-id=5314 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:32 INFO:
15/04/19 22:19:33 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:33 INFO: learner-id=1050 model-performance:         accuracy=0.8861 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.7168
15/04/19 22:19:33 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=3.387489e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:33 INFO: learner-id=1050 active-features:           updates=0000016384 min=0000021 max=0000021 mean=0000021 total-sum=0000344064
15/04/19 22:19:33 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:33 INFO: learner-id=1050 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:33 INFO:
15/04/19 22:19:33 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:33 INFO: learner-id=2101 model-performance:         accuracy=0.8977 recall=0.1602 precision=0.7328 f1-score=0.2630 auc=0.8615
15/04/19 22:19:33 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.713093e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:33 INFO: learner-id=2101 active-features:           updates=0000016384 min=0000021 max=0000021 mean=0000021 total-sum=0000344064
15/04/19 22:19:33 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:33 INFO: learner-id=2101 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:33 INFO:
15/04/19 22:19:33 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:33 INFO: learner-id=3535 model-performance:         accuracy=0.9037 recall=0.3398 precision=0.6469 f1-score=0.4455 auc=0.9180
15/04/19 22:19:33 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.203427e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:33 INFO: learner-id=3535 active-features:           updates=0000016384 min=0000021 max=0000021 mean=0000021 total-sum=0000344064
15/04/19 22:19:33 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:33 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:33 INFO:
15/04/19 22:19:33 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:33 INFO: learner-id=4202 model-performance:         accuracy=0.8971 recall=0.4625 precision=0.5582 f1-score=0.5059 auc=0.8868
15/04/19 22:19:33 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.901697e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:33 INFO: learner-id=4202 active-features:           updates=0000016384 min=0000021 max=0000021 mean=0000021 total-sum=0000344064
15/04/19 22:19:33 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:33 INFO: learner-id=4202 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:33 INFO:
15/04/19 22:19:33 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:33 INFO: learner-id=5314 model-performance:         accuracy=0.8790 recall=0.4614 precision=0.4682 f1-score=0.4648 auc=0.8437
15/04/19 22:19:33 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=1.086080e+00 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:33 INFO: learner-id=5314 active-features:           updates=0000016384 min=0000021 max=0000021 mean=0000021 total-sum=0000344064
15/04/19 22:19:33 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:33 INFO: learner-id=5314 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:33 INFO:
15/04/19 22:19:34 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:34 INFO: learner-id=1050 model-performance:         accuracy=0.8863 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.7400
15/04/19 22:19:34 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=3.291264e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:34 INFO: learner-id=1050 active-features:           updates=0000028833 min=0000021 max=0000021 mean=0000021 total-sum=0000605493
15/04/19 22:19:34 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:34 INFO: learner-id=1050 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:34 INFO:
15/04/19 22:19:34 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:34 INFO: learner-id=2101 model-performance:         accuracy=0.8989 recall=0.1834 precision=0.7163 f1-score=0.2920 auc=0.8793
15/04/19 22:19:34 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.628514e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:34 INFO: learner-id=2101 active-features:           updates=0000028833 min=0000021 max=0000021 mean=0000021 total-sum=0000605493
15/04/19 22:19:34 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:34 INFO: learner-id=2101 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:34 INFO:
15/04/19 22:19:34 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:34 INFO: learner-id=3535 model-performance:         accuracy=0.9052 recall=0.3567 precision=0.6513 f1-score=0.4610 auc=0.9254
15/04/19 22:19:34 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.128932e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:34 INFO: learner-id=3535 active-features:           updates=0000028833 min=0000021 max=0000021 mean=0000021 total-sum=0000605493
15/04/19 22:19:34 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:34 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:34 INFO:
15/04/19 22:19:34 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:34 INFO: learner-id=4202 model-performance:         accuracy=0.9005 recall=0.4651 precision=0.5775 f1-score=0.5152 auc=0.8994
15/04/19 22:19:34 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.606858e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:34 INFO: learner-id=4202 active-features:           updates=0000028833 min=0000021 max=0000021 mean=0000021 total-sum=0000605493
15/04/19 22:19:34 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:34 INFO: learner-id=4202 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:34 INFO:
15/04/19 22:19:34 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:34 INFO: learner-id=5314 model-performance:         accuracy=0.8812 recall=0.4687 precision=0.4770 f1-score=0.4728 auc=0.8537
15/04/19 22:19:34 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=9.672390e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:34 INFO: learner-id=5314 active-features:           updates=0000028833 min=0000021 max=0000021 mean=0000021 total-sum=0000605493
15/04/19 22:19:34 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:34 INFO: learner-id=5314 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:34 INFO:
15/04/19 22:19:36 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:36 INFO: learner-id=1050 model-performance:         accuracy=0.8860 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.7469
15/04/19 22:19:36 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=3.275893e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:36 INFO: learner-id=1050 active-features:           updates=0000032768 min=0000021 max=0000021 mean=0000021 total-sum=0000688128
15/04/19 22:19:36 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:36 INFO: learner-id=1050 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:36 INFO:
15/04/19 22:19:36 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:36 INFO: learner-id=2101 model-performance:         accuracy=0.8985 recall=0.1876 precision=0.7074 f1-score=0.2966 auc=0.8842
15/04/19 22:19:36 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.609351e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:36 INFO: learner-id=2101 active-features:           updates=0000032768 min=0000021 max=0000021 mean=0000021 total-sum=0000688128
15/04/19 22:19:36 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:36 INFO: learner-id=2101 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:36 INFO:
15/04/19 22:19:36 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:36 INFO: learner-id=3535 model-performance:         accuracy=0.9051 recall=0.3605 precision=0.6510 f1-score=0.4641 auc=0.9269
15/04/19 22:19:36 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.117378e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:36 INFO: learner-id=3535 active-features:           updates=0000032768 min=0000021 max=0000021 mean=0000021 total-sum=0000688128
15/04/19 22:19:36 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:36 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:36 INFO:
15/04/19 22:19:36 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:36 INFO: learner-id=4202 model-performance:         accuracy=0.9006 recall=0.4647 precision=0.5800 f1-score=0.5160 auc=0.9020
15/04/19 22:19:36 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.559542e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:36 INFO: learner-id=4202 active-features:           updates=0000032768 min=0000021 max=0000021 mean=0000021 total-sum=0000688128
15/04/19 22:19:36 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:36 INFO: learner-id=4202 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:36 INFO:
15/04/19 22:19:36 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:36 INFO: learner-id=5314 model-performance:         accuracy=0.8808 recall=0.4684 precision=0.4767 f1-score=0.4725 auc=0.8539
15/04/19 22:19:36 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=9.368173e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:36 INFO: learner-id=5314 active-features:           updates=0000032768 min=0000021 max=0000021 mean=0000021 total-sum=0000688128
15/04/19 22:19:36 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:36 INFO: learner-id=5314 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:36 INFO:
15/04/19 22:19:38 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:38 INFO: learner-id=1050 model-performance:         accuracy=0.8863 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.7721
15/04/19 22:19:38 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=3.186653e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:38 INFO: learner-id=1050 active-features:           updates=0000057666 min=0000021 max=0000021 mean=0000021 total-sum=0001210986
15/04/19 22:19:38 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:38 INFO: learner-id=1050 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:38 INFO:
15/04/19 22:19:38 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:38 INFO: learner-id=2101 model-performance:         accuracy=0.9002 recall=0.2098 precision=0.7040 f1-score=0.3233 auc=0.8971
15/04/19 22:19:38 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.513558e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:38 INFO: learner-id=2101 active-features:           updates=0000057666 min=0000021 max=0000021 mean=0000021 total-sum=0001210986
15/04/19 22:19:38 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:38 INFO: learner-id=2101 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:38 INFO:
15/04/19 22:19:38 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:38 INFO: learner-id=3535 model-performance:         accuracy=0.9070 recall=0.3755 precision=0.6598 f1-score=0.4786 auc=0.9309
15/04/19 22:19:38 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.065772e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:38 INFO: learner-id=3535 active-features:           updates=0000057666 min=0000021 max=0000021 mean=0000021 total-sum=0001210986
15/04/19 22:19:38 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:38 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:38 INFO:
15/04/19 22:19:38 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:38 INFO: learner-id=4202 model-performance:         accuracy=0.9031 recall=0.4590 precision=0.5959 f1-score=0.5185 auc=0.9112
15/04/19 22:19:38 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.366347e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:38 INFO: learner-id=4202 active-features:           updates=0000057666 min=0000021 max=0000021 mean=0000021 total-sum=0001210986
15/04/19 22:19:38 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:38 INFO: learner-id=4202 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:38 INFO:
15/04/19 22:19:38 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:38 INFO: learner-id=5314 model-performance:         accuracy=0.8828 recall=0.4721 precision=0.4842 f1-score=0.4781 auc=0.8557
15/04/19 22:19:38 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=7.743270e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:38 INFO: learner-id=5314 active-features:           updates=0000057666 min=0000021 max=0000021 mean=0000021 total-sum=0001210986
15/04/19 22:19:38 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:38 INFO: learner-id=5314 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:38 INFO:
15/04/19 22:19:41 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:41 INFO: learner-id=1050 model-performance:         accuracy=0.8864 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.7784
15/04/19 22:19:41 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=3.168260e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:41 INFO: learner-id=1050 active-features:           updates=0000065536 min=0000021 max=0000021 mean=0000021 total-sum=0001376256
15/04/19 22:19:41 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:41 INFO: learner-id=1050 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:41 INFO:
15/04/19 22:19:41 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:41 INFO: learner-id=2101 model-performance:         accuracy=0.9002 recall=0.2131 precision=0.7004 f1-score=0.3267 auc=0.9003
15/04/19 22:19:41 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.491713e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:41 INFO: learner-id=2101 active-features:           updates=0000065536 min=0000021 max=0000021 mean=0000021 total-sum=0001376256
15/04/19 22:19:41 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:41 INFO: learner-id=2101 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:41 INFO:
15/04/19 22:19:41 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:41 INFO: learner-id=3535 model-performance:         accuracy=0.9072 recall=0.3774 precision=0.6608 f1-score=0.4804 auc=0.9317
15/04/19 22:19:41 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.056362e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:41 INFO: learner-id=3535 active-features:           updates=0000065536 min=0000021 max=0000021 mean=0000021 total-sum=0001376256
15/04/19 22:19:41 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:41 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:41 INFO:
15/04/19 22:19:41 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:41 INFO: learner-id=4202 model-performance:         accuracy=0.9035 recall=0.4569 precision=0.5987 f1-score=0.5183 auc=0.9131
15/04/19 22:19:41 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.333667e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:41 INFO: learner-id=4202 active-features:           updates=0000065536 min=0000021 max=0000021 mean=0000021 total-sum=0001376256
15/04/19 22:19:41 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:41 INFO: learner-id=4202 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:41 INFO:
15/04/19 22:19:41 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:41 INFO: learner-id=5314 model-performance:         accuracy=0.8835 recall=0.4729 precision=0.4869 f1-score=0.4798 auc=0.8557
15/04/19 22:19:41 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=7.396127e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:41 INFO: learner-id=5314 active-features:           updates=0000065536 min=0000021 max=0000021 mean=0000021 total-sum=0001376256
15/04/19 22:19:41 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:41 INFO: learner-id=5314 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:41 INFO:
15/04/19 22:19:43 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:43 INFO: learner-id=1050 model-performance:         accuracy=0.8863 recall=0.0000 precision=0.5000 f1-score=0.0000 auc=0.7895
15/04/19 22:19:43 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=3.130064e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:43 INFO: learner-id=1050 active-features:           updates=0000086499 min=0000021 max=0000021 mean=0000021 total-sum=0001816479
15/04/19 22:19:43 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000022 quantile-50=0000022 quantile-90=0000021
15/04/19 22:19:43 INFO: learner-id=1050 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:43 INFO:
15/04/19 22:19:43 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:43 INFO: learner-id=2101 model-performance:         accuracy=0.9010 recall=0.2230 precision=0.7028 f1-score=0.3385 auc=0.9050
15/04/19 22:19:43 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.446476e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:43 INFO: learner-id=2101 active-features:           updates=0000086499 min=0000021 max=0000021 mean=0000021 total-sum=0001816479
15/04/19 22:19:43 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000022 quantile-50=0000022 quantile-90=0000021
15/04/19 22:19:43 INFO: learner-id=2101 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:43 INFO:
15/04/19 22:19:43 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:43 INFO: learner-id=3535 model-performance:         accuracy=0.9080 recall=0.3843 precision=0.6646 f1-score=0.4870 auc=0.9331
15/04/19 22:19:43 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.038469e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:43 INFO: learner-id=3535 active-features:           updates=0000086499 min=0000021 max=0000021 mean=0000021 total-sum=0001816479
15/04/19 22:19:43 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000022 quantile-50=0000022 quantile-90=0000021
15/04/19 22:19:43 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:43 INFO:
15/04/19 22:19:43 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:43 INFO: learner-id=4202 model-performance:         accuracy=0.9045 recall=0.4559 precision=0.6059 f1-score=0.5203 auc=0.9168
15/04/19 22:19:43 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.269138e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:43 INFO: learner-id=4202 active-features:           updates=0000086499 min=0000021 max=0000021 mean=0000021 total-sum=0001816479
15/04/19 22:19:43 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000022 quantile-50=0000022 quantile-90=0000021
15/04/19 22:19:43 INFO: learner-id=4202 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:43 INFO:
15/04/19 22:19:43 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:43 INFO: learner-id=5314 model-performance:         accuracy=0.8844 recall=0.4735 precision=0.4911 f1-score=0.4822 auc=0.8569
15/04/19 22:19:43 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=6.677195e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:43 INFO: learner-id=5314 active-features:           updates=0000086499 min=0000021 max=0000021 mean=0000021 total-sum=0001816479
15/04/19 22:19:43 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000022 quantile-50=0000022 quantile-90=0000021
15/04/19 22:19:43 INFO: learner-id=5314 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000000
15/04/19 22:19:43 INFO:
15/04/19 22:19:47 INFO: learner-id=1050 consolidate:               reason=end of consolidation interval model-size-before=0.02 MB (202 params) model-size-after=0.02 MB (164 params)
15/04/19 22:19:47 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:47 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=3.104965e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:47 INFO: learner-id=1050 active-features:           updates=0000100000 min=0000021 max=0000021 mean=0000021 total-sum=0002100000
15/04/19 22:19:47 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000022 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:47 INFO: learner-id=1050 model-status:              model-size=15744 (0.02 MB) #params=164 #pruning-calls=0000000001
15/04/19 22:19:47 INFO:
15/04/19 22:19:47 INFO: learner-id=2101 consolidate:               reason=end of consolidation interval model-size-before=0.02 MB (202 params) model-size-after=0.01 MB (158 params)
15/04/19 22:19:47 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:47 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.419266e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:47 INFO: learner-id=2101 active-features:           updates=0000100000 min=0000021 max=0000021 mean=0000021 total-sum=0002100000
15/04/19 22:19:47 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000022 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:47 INFO: learner-id=2101 model-status:              model-size=15168 (0.01 MB) #params=158 #pruning-calls=0000000001
15/04/19 22:19:47 INFO:
15/04/19 22:19:47 INFO: learner-id=3535 consolidate:               reason=end of consolidation interval model-size-before=0.02 MB (202 params) model-size-after=0.01 MB (163 params)
15/04/19 22:19:47 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:47 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.028782e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:47 INFO: learner-id=3535 active-features:           updates=0000100000 min=0000021 max=0000021 mean=0000021 total-sum=0002100000
15/04/19 22:19:47 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000022 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:47 INFO: learner-id=3535 model-status:              model-size=15648 (0.01 MB) #params=163 #pruning-calls=0000000001
15/04/19 22:19:47 INFO:
15/04/19 22:19:47 INFO: learner-id=4202 consolidate:               reason=end of consolidation interval model-size-before=0.02 MB (202 params) model-size-after=0.01 MB (161 params)
15/04/19 22:19:47 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:47 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.240400e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:47 INFO: learner-id=4202 active-features:           updates=0000100000 min=0000021 max=0000021 mean=0000021 total-sum=0002100000
15/04/19 22:19:47 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000022 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:47 INFO: learner-id=4202 model-status:              model-size=15456 (0.01 MB) #params=161 #pruning-calls=0000000001
15/04/19 22:19:47 INFO:
15/04/19 22:19:48 INFO: learner-id=5314 consolidate:               reason=end of consolidation interval model-size-before=0.02 MB (202 params) model-size-after=0.02 MB (191 params)
15/04/19 22:19:48 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:48 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=6.323228e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:48 INFO: learner-id=5314 active-features:           updates=0000100000 min=0000021 max=0000021 mean=0000021 total-sum=0002100000
15/04/19 22:19:48 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000022 quantile-50=0000021 quantile-90=0000021
15/04/19 22:19:48 INFO: learner-id=5314 model-status:              model-size=18336 (0.02 MB) #params=191 #pruning-calls=0000000001
15/04/19 22:19:48 INFO:
15/04/19 22:19:49 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:49 INFO: learner-id=1050 model-performance:         accuracy=0.8864 recall=0.0002 precision=1.0000 f1-score=0.0005 auc=0.8007
15/04/19 22:19:49 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=3.090394e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:49 INFO: learner-id=1050 active-features:           updates=0000115332 min=0000021 max=0000021 mean=0000021 total-sum=0002421972
15/04/19 22:19:49 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:49 INFO: learner-id=1050 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:49 INFO:
15/04/19 22:19:49 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:49 INFO: learner-id=2101 model-performance:         accuracy=0.9014 recall=0.2314 precision=0.7006 f1-score=0.3479 auc=0.9097
15/04/19 22:19:49 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.399806e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:49 INFO: learner-id=2101 active-features:           updates=0000115332 min=0000021 max=0000021 mean=0000021 total-sum=0002421972
15/04/19 22:19:49 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:49 INFO: learner-id=2101 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:49 INFO:
15/04/19 22:19:49 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:49 INFO: learner-id=3535 model-performance:         accuracy=0.9085 recall=0.3893 precision=0.6670 f1-score=0.4916 auc=0.9343
15/04/19 22:19:49 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.022435e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:49 INFO: learner-id=3535 active-features:           updates=0000115332 min=0000021 max=0000021 mean=0000021 total-sum=0002421972
15/04/19 22:19:49 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:49 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:49 INFO:
15/04/19 22:19:49 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:49 INFO: learner-id=4202 model-performance:         accuracy=0.9052 recall=0.4530 precision=0.6124 f1-score=0.5208 auc=0.9202
15/04/19 22:19:49 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.214223e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:49 INFO: learner-id=4202 active-features:           updates=0000115332 min=0000021 max=0000021 mean=0000021 total-sum=0002421972
15/04/19 22:19:49 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:49 INFO: learner-id=4202 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:49 INFO:
15/04/19 22:19:49 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:49 INFO: learner-id=5314 model-performance:         accuracy=0.8857 recall=0.4745 precision=0.4970 f1-score=0.4855 auc=0.8583
15/04/19 22:19:49 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=5.996590e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:49 INFO: learner-id=5314 active-features:           updates=0000115332 min=0000021 max=0000021 mean=0000021 total-sum=0002421972
15/04/19 22:19:49 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:49 INFO: learner-id=5314 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:49 INFO:
15/04/19 22:19:52 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:52 INFO: learner-id=1050 model-performance:         accuracy=0.8865 recall=0.0004 precision=1.0000 f1-score=0.0008 auc=0.8057
15/04/19 22:19:52 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=3.069932e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:52 INFO: learner-id=1050 active-features:           updates=0000131072 min=0000021 max=0000021 mean=0000021 total-sum=0002752512
15/04/19 22:19:52 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:52 INFO: learner-id=1050 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:52 INFO:
15/04/19 22:19:52 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:52 INFO: learner-id=2101 model-performance:         accuracy=0.9017 recall=0.2352 precision=0.6996 f1-score=0.3521 auc=0.9115
15/04/19 22:19:52 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.378498e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:52 INFO: learner-id=2101 active-features:           updates=0000131072 min=0000021 max=0000021 mean=0000021 total-sum=0002752512
15/04/19 22:19:52 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:52 INFO: learner-id=2101 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:52 INFO:
15/04/19 22:19:52 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:52 INFO: learner-id=3535 model-performance:         accuracy=0.9086 recall=0.3901 precision=0.6670 f1-score=0.4923 auc=0.9347
15/04/19 22:19:52 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.016419e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:52 INFO: learner-id=3535 active-features:           updates=0000131072 min=0000021 max=0000021 mean=0000021 total-sum=0002752512
15/04/19 22:19:52 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:52 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:52 INFO:
15/04/19 22:19:52 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:52 INFO: learner-id=4202 model-performance:         accuracy=0.9055 recall=0.4509 precision=0.6146 f1-score=0.5202 auc=0.9214
15/04/19 22:19:52 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.194063e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:52 INFO: learner-id=4202 active-features:           updates=0000131072 min=0000021 max=0000021 mean=0000021 total-sum=0002752512
15/04/19 22:19:52 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:52 INFO: learner-id=4202 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:52 INFO:
15/04/19 22:19:52 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:52 INFO: learner-id=5314 model-performance:         accuracy=0.8862 recall=0.4733 precision=0.4988 f1-score=0.4857 auc=0.8588
15/04/19 22:19:52 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=5.716177e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:52 INFO: learner-id=5314 active-features:           updates=0000131072 min=0000021 max=0000021 mean=0000021 total-sum=0002752512
15/04/19 22:19:52 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:52 INFO: learner-id=5314 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:52 INFO:
15/04/19 22:19:53 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:53 INFO: learner-id=1050 model-performance:         accuracy=0.8864 recall=0.0009 precision=1.0000 f1-score=0.0017 auc=0.8087
15/04/19 22:19:53 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=3.059518e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:53 INFO: learner-id=1050 active-features:           updates=0000144165 min=0000021 max=0000021 mean=0000021 total-sum=0003027465
15/04/19 22:19:53 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:53 INFO: learner-id=1050 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:53 INFO:
15/04/19 22:19:53 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:53 INFO: learner-id=2101 model-performance:         accuracy=0.9018 recall=0.2383 precision=0.6991 f1-score=0.3555 auc=0.9129
15/04/19 22:19:53 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.364518e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:53 INFO: learner-id=2101 active-features:           updates=0000144165 min=0000021 max=0000021 mean=0000021 total-sum=0003027465
15/04/19 22:19:53 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:53 INFO: learner-id=2101 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:53 INFO:
15/04/19 22:19:53 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:53 INFO: learner-id=3535 model-performance:         accuracy=0.9088 recall=0.3924 precision=0.6677 f1-score=0.4943 auc=0.9351
15/04/19 22:19:53 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.011570e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:53 INFO: learner-id=3535 active-features:           updates=0000144165 min=0000021 max=0000021 mean=0000021 total-sum=0003027465
15/04/19 22:19:53 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:53 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:53 INFO:
15/04/19 22:19:53 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:53 INFO: learner-id=4202 model-performance:         accuracy=0.9058 recall=0.4512 precision=0.6172 f1-score=0.5213 auc=0.9226
15/04/19 22:19:53 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.178128e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:53 INFO: learner-id=4202 active-features:           updates=0000144165 min=0000021 max=0000021 mean=0000021 total-sum=0003027465
15/04/19 22:19:53 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:53 INFO: learner-id=4202 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:53 INFO:
15/04/19 22:19:53 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:53 INFO: learner-id=5314 model-performance:         accuracy=0.8867 recall=0.4746 precision=0.5017 f1-score=0.4878 auc=0.8600
15/04/19 22:19:53 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=5.518563e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:53 INFO: learner-id=5314 active-features:           updates=0000144165 min=0000021 max=0000021 mean=0000021 total-sum=0003027465
15/04/19 22:19:53 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:19:53 INFO: learner-id=5314 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:53 INFO:
15/04/19 22:19:58 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:19:58 INFO: learner-id=1050 model-performance:         accuracy=0.8866 recall=0.0024 precision=0.8704 f1-score=0.0048 auc=0.8149
15/04/19 22:19:58 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=3.034098e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:58 INFO: learner-id=1050 active-features:           updates=0000172998 min=0000021 max=0000021 mean=0000021 total-sum=0003632958
15/04/19 22:19:58 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:58 INFO: learner-id=1050 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:58 INFO:
15/04/19 22:19:58 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:19:58 INFO: learner-id=2101 model-performance:         accuracy=0.9020 recall=0.2441 precision=0.6965 f1-score=0.3615 auc=0.9154
15/04/19 22:19:58 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.336458e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:58 INFO: learner-id=2101 active-features:           updates=0000172998 min=0000021 max=0000021 mean=0000021 total-sum=0003632958
15/04/19 22:19:58 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:58 INFO: learner-id=2101 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:58 INFO:
15/04/19 22:19:58 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:19:58 INFO: learner-id=3535 model-performance:         accuracy=0.9089 recall=0.3948 precision=0.6683 f1-score=0.4964 auc=0.9357
15/04/19 22:19:58 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=2.003578e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:58 INFO: learner-id=3535 active-features:           updates=0000172998 min=0000021 max=0000021 mean=0000021 total-sum=0003632958
15/04/19 22:19:58 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:58 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:58 INFO:
15/04/19 22:19:58 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:19:58 INFO: learner-id=4202 model-performance:         accuracy=0.9063 recall=0.4498 precision=0.6212 f1-score=0.5218 auc=0.9243
15/04/19 22:19:58 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.152200e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:58 INFO: learner-id=4202 active-features:           updates=0000172998 min=0000021 max=0000021 mean=0000021 total-sum=0003632958
15/04/19 22:19:58 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:58 INFO: learner-id=4202 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:58 INFO:
15/04/19 22:19:58 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:19:58 INFO: learner-id=5314 model-performance:         accuracy=0.8877 recall=0.4749 precision=0.5062 f1-score=0.4900 auc=0.8618
15/04/19 22:19:58 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=5.161247e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:19:58 INFO: learner-id=5314 active-features:           updates=0000172998 min=0000021 max=0000021 mean=0000021 total-sum=0003632958
15/04/19 22:19:58 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:19:58 INFO: learner-id=5314 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000001
15/04/19 22:19:58 INFO:
15/04/19 22:20:03 INFO: learner-id=1050 consolidate:               reason=end of consolidation interval model-size-before=0.02 MB (202 params) model-size-after=0.02 MB (165 params)
15/04/19 22:20:03 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:20:03 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=3.016334e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:03 INFO: learner-id=1050 active-features:           updates=0000200000 min=0000021 max=0000021 mean=0000021 total-sum=0004200000
15/04/19 22:20:03 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:20:03 INFO: learner-id=1050 model-status:              model-size=15840 (0.02 MB) #params=165 #pruning-calls=0000000002
15/04/19 22:20:03 INFO:
15/04/19 22:20:03 INFO: learner-id=2101 consolidate:               reason=end of consolidation interval model-size-before=0.02 MB (202 params) model-size-after=0.01 MB (163 params)
15/04/19 22:20:03 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:20:03 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.316378e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:03 INFO: learner-id=2101 active-features:           updates=0000200000 min=0000021 max=0000021 mean=0000021 total-sum=0004200000
15/04/19 22:20:03 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:20:03 INFO: learner-id=2101 model-status:              model-size=15648 (0.01 MB) #params=163 #pruning-calls=0000000002
15/04/19 22:20:03 INFO:
15/04/19 22:20:04 INFO: learner-id=3535 consolidate:               reason=end of consolidation interval model-size-before=0.02 MB (202 params) model-size-after=0.01 MB (162 params)
15/04/19 22:20:04 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:20:04 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=1.999085e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:04 INFO: learner-id=3535 active-features:           updates=0000200000 min=0000021 max=0000021 mean=0000021 total-sum=0004200000
15/04/19 22:20:04 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:20:04 INFO: learner-id=3535 model-status:              model-size=15552 (0.01 MB) #params=162 #pruning-calls=0000000002
15/04/19 22:20:04 INFO:
15/04/19 22:20:04 INFO: learner-id=4202 consolidate:               reason=end of consolidation interval model-size-before=0.02 MB (202 params) model-size-after=0.02 MB (176 params)
15/04/19 22:20:04 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:20:04 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.134950e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:04 INFO: learner-id=4202 active-features:           updates=0000200000 min=0000021 max=0000021 mean=0000021 total-sum=0004200000
15/04/19 22:20:04 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:20:04 INFO: learner-id=4202 model-status:              model-size=16896 (0.02 MB) #params=176 #pruning-calls=0000000002
15/04/19 22:20:04 INFO:
15/04/19 22:20:04 INFO: learner-id=5314 consolidate:               reason=end of consolidation interval model-size-before=0.02 MB (202 params) model-size-after=0.02 MB (166 params)
15/04/19 22:20:04 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:20:04 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=4.899595e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:04 INFO: learner-id=5314 active-features:           updates=0000200000 min=0000021 max=0000021 mean=0000021 total-sum=0004200000
15/04/19 22:20:04 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000021 quantile-90=0000022
15/04/19 22:20:04 INFO: learner-id=5314 model-status:              model-size=15936 (0.02 MB) #params=166 #pruning-calls=0000000002
15/04/19 22:20:04 INFO:
15/04/19 22:20:05 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:20:05 INFO: learner-id=1050 model-performance:         accuracy=0.8868 recall=0.0044 precision=0.8475 f1-score=0.0087 auc=0.8198
15/04/19 22:20:05 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=3.012430e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:05 INFO: learner-id=1050 active-features:           updates=0000201831 min=0000021 max=0000021 mean=0000021 total-sum=0004238451
15/04/19 22:20:05 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000022 quantile-50=0000021 quantile-90=0000021
15/04/19 22:20:05 INFO: learner-id=1050 model-status:              model-size=18912 (0.02 MB) #params=197 #pruning-calls=0000000002
15/04/19 22:20:05 INFO:
15/04/19 22:20:05 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:20:05 INFO: learner-id=2101 model-performance:         accuracy=0.9022 recall=0.2494 precision=0.6944 f1-score=0.3669 auc=0.9172
15/04/19 22:20:05 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.313381e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:05 INFO: learner-id=2101 active-features:           updates=0000201831 min=0000021 max=0000021 mean=0000021 total-sum=0004238451
15/04/19 22:20:05 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000022 quantile-50=0000021 quantile-90=0000021
15/04/19 22:20:05 INFO: learner-id=2101 model-status:              model-size=18912 (0.02 MB) #params=197 #pruning-calls=0000000002
15/04/19 22:20:05 INFO:
15/04/19 22:20:05 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:20:05 INFO: learner-id=3535 model-performance:         accuracy=0.9091 recall=0.3965 precision=0.6688 f1-score=0.4979 auc=0.9362
15/04/19 22:20:05 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=1.997375e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:05 INFO: learner-id=3535 active-features:           updates=0000201831 min=0000021 max=0000021 mean=0000021 total-sum=0004238451
15/04/19 22:20:05 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000022 quantile-50=0000021 quantile-90=0000021
15/04/19 22:20:05 INFO: learner-id=3535 model-status:              model-size=19008 (0.02 MB) #params=198 #pruning-calls=0000000002
15/04/19 22:20:05 INFO:
15/04/19 22:20:05 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:20:05 INFO: learner-id=4202 model-performance:         accuracy=0.9067 recall=0.4488 precision=0.6246 f1-score=0.5223 auc=0.9257
15/04/19 22:20:05 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.132487e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:05 INFO: learner-id=4202 active-features:           updates=0000201831 min=0000021 max=0000021 mean=0000021 total-sum=0004238451
15/04/19 22:20:05 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000022 quantile-50=0000021 quantile-90=0000021
15/04/19 22:20:05 INFO: learner-id=4202 model-status:              model-size=19104 (0.02 MB) #params=199 #pruning-calls=0000000002
15/04/19 22:20:05 INFO:
15/04/19 22:20:05 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:20:05 INFO: learner-id=5314 model-performance:         accuracy=0.8884 recall=0.4749 precision=0.5099 f1-score=0.4917 auc=0.8636
15/04/19 22:20:05 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=4.882240e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:05 INFO: learner-id=5314 active-features:           updates=0000201831 min=0000021 max=0000021 mean=0000021 total-sum=0004238451
15/04/19 22:20:05 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000022 quantile-50=0000021 quantile-90=0000021
15/04/19 22:20:05 INFO: learner-id=5314 model-status:              model-size=19008 (0.02 MB) #params=198 #pruning-calls=0000000002
15/04/19 22:20:05 INFO:
15/04/19 22:20:09 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:20:09 INFO: learner-id=1050 model-performance:         accuracy=0.8870 recall=0.0074 precision=0.8540 f1-score=0.0146 auc=0.8239
15/04/19 22:20:09 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=2.993513e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:09 INFO: learner-id=1050 active-features:           updates=0000230664 min=0000021 max=0000021 mean=0000021 total-sum=0004843944
15/04/19 22:20:09 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:09 INFO: learner-id=1050 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:09 INFO:
15/04/19 22:20:09 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:20:09 INFO: learner-id=2101 model-performance:         accuracy=0.9024 recall=0.2539 precision=0.6926 f1-score=0.3716 auc=0.9188
15/04/19 22:20:09 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.293937e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:09 INFO: learner-id=2101 active-features:           updates=0000230664 min=0000021 max=0000021 mean=0000021 total-sum=0004843944
15/04/19 22:20:09 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:09 INFO: learner-id=2101 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:09 INFO:
15/04/19 22:20:09 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:20:09 INFO: learner-id=3535 model-performance:         accuracy=0.9092 recall=0.3979 precision=0.6688 f1-score=0.4990 auc=0.9365
15/04/19 22:20:09 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=1.992436e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:09 INFO: learner-id=3535 active-features:           updates=0000230664 min=0000021 max=0000021 mean=0000021 total-sum=0004843944
15/04/19 22:20:09 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:09 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:09 INFO:
15/04/19 22:20:09 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:20:09 INFO: learner-id=4202 model-performance:         accuracy=0.9070 recall=0.4479 precision=0.6274 f1-score=0.5227 auc=0.9267
15/04/19 22:20:09 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.116869e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:09 INFO: learner-id=4202 active-features:           updates=0000230664 min=0000021 max=0000021 mean=0000021 total-sum=0004843944
15/04/19 22:20:09 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:09 INFO: learner-id=4202 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:09 INFO:
15/04/19 22:20:09 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:20:09 INFO: learner-id=5314 model-performance:         accuracy=0.8892 recall=0.4749 precision=0.5135 f1-score=0.4935 auc=0.8652
15/04/19 22:20:09 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=4.657330e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:09 INFO: learner-id=5314 active-features:           updates=0000230664 min=0000021 max=0000021 mean=0000021 total-sum=0004843944
15/04/19 22:20:09 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:09 INFO: learner-id=5314 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:09 INFO:
15/04/19 22:20:14 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:20:14 INFO: learner-id=1050 model-performance:         accuracy=0.8874 recall=0.0113 precision=0.8499 f1-score=0.0224 auc=0.8273
15/04/19 22:20:14 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=2.976707e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:14 INFO: learner-id=1050 active-features:           updates=0000259497 min=0000021 max=0000021 mean=0000021 total-sum=0005449437
15/04/19 22:20:14 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:14 INFO: learner-id=1050 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:14 INFO:
15/04/19 22:20:14 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:20:14 INFO: learner-id=2101 model-performance:         accuracy=0.9025 recall=0.2576 precision=0.6910 f1-score=0.3752 auc=0.9201
15/04/19 22:20:14 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.277240e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:14 INFO: learner-id=2101 active-features:           updates=0000259497 min=0000021 max=0000021 mean=0000021 total-sum=0005449437
15/04/19 22:20:14 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:14 INFO: learner-id=2101 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:14 INFO:
15/04/19 22:20:14 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:20:14 INFO: learner-id=3535 model-performance:         accuracy=0.9093 recall=0.3992 precision=0.6690 f1-score=0.5000 auc=0.9368
15/04/19 22:20:14 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=1.988336e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:14 INFO: learner-id=3535 active-features:           updates=0000259497 min=0000021 max=0000021 mean=0000021 total-sum=0005449437
15/04/19 22:20:14 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:14 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:14 INFO:
15/04/19 22:20:14 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:20:14 INFO: learner-id=4202 model-performance:         accuracy=0.9073 recall=0.4471 precision=0.6296 f1-score=0.5229 auc=0.9276
15/04/19 22:20:14 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.104126e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:14 INFO: learner-id=4202 active-features:           updates=0000259497 min=0000021 max=0000021 mean=0000021 total-sum=0005449437
15/04/19 22:20:14 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:14 INFO: learner-id=4202 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:14 INFO:
15/04/19 22:20:14 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:20:14 INFO: learner-id=5314 model-performance:         accuracy=0.8898 recall=0.4750 precision=0.5167 f1-score=0.4950 auc=0.8669
15/04/19 22:20:14 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=4.471482e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:14 INFO: learner-id=5314 active-features:           updates=0000259497 min=0000021 max=0000021 mean=0000021 total-sum=0005449437
15/04/19 22:20:14 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:14 INFO: learner-id=5314 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:14 INFO:
15/04/19 22:20:17 INFO: learner-id=1050 model-configuration:       learning-rate=0.01
15/04/19 22:20:17 INFO: learner-id=1050 model-performance:         accuracy=0.8874 recall=0.0117 precision=0.8512 f1-score=0.0231 auc=0.8278
15/04/19 22:20:17 INFO: learner-id=1050 model-convergence:         negative-log-likelihood=2.975026e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:17 INFO: learner-id=1050 active-features:           updates=0000262144 min=0000021 max=0000021 mean=0000021 total-sum=0005505024
15/04/19 22:20:17 INFO: learner-id=1050 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:17 INFO: learner-id=1050 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:17 INFO:
15/04/19 22:20:17 INFO: learner-id=2101 model-configuration:       learning-rate=0.1
15/04/19 22:20:17 INFO: learner-id=2101 model-performance:         accuracy=0.9025 recall=0.2580 precision=0.6907 f1-score=0.3757 auc=0.9203
15/04/19 22:20:17 INFO: learner-id=2101 model-convergence:         negative-log-likelihood=2.275467e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:17 INFO: learner-id=2101 active-features:           updates=0000262144 min=0000021 max=0000021 mean=0000021 total-sum=0005505024
15/04/19 22:20:17 INFO: learner-id=2101 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:17 INFO: learner-id=2101 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:17 INFO:
15/04/19 22:20:17 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:20:17 INFO: learner-id=3535 model-performance:         accuracy=0.9093 recall=0.3993 precision=0.6690 f1-score=0.5001 auc=0.9369
15/04/19 22:20:17 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=1.987754e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:17 INFO: learner-id=3535 active-features:           updates=0000262144 min=0000021 max=0000021 mean=0000021 total-sum=0005505024
15/04/19 22:20:17 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:17 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:17 INFO:
15/04/19 22:20:17 INFO: learner-id=4202 model-configuration:       learning-rate=10.0
15/04/19 22:20:17 INFO: learner-id=4202 model-performance:         accuracy=0.9073 recall=0.4472 precision=0.6299 f1-score=0.5230 auc=0.9278
15/04/19 22:20:17 INFO: learner-id=4202 model-convergence:         negative-log-likelihood=2.102892e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:17 INFO: learner-id=4202 active-features:           updates=0000262144 min=0000021 max=0000021 mean=0000021 total-sum=0005505024
15/04/19 22:20:17 INFO: learner-id=4202 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:17 INFO: learner-id=4202 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:17 INFO:
15/04/19 22:20:17 INFO: learner-id=5314 model-configuration:       learning-rate=100.0
15/04/19 22:20:17 INFO: learner-id=5314 model-performance:         accuracy=0.8899 recall=0.4752 precision=0.5172 f1-score=0.4953 auc=0.8671
15/04/19 22:20:17 INFO: learner-id=5314 model-convergence:         negative-log-likelihood=4.455136e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:17 INFO: learner-id=5314 active-features:           updates=0000262144 min=0000021 max=0000021 mean=0000021 total-sum=0005505024
15/04/19 22:20:17 INFO: learner-id=5314 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:17 INFO: learner-id=5314 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:17 INFO:
15/04/19 22:20:19 INFO:
15/04/19 22:20:19 INFO:
15/04/19 22:20:19 INFO: finished-training: total-passes=10 valid-records=288330 invalid-records=0
15/04/19 22:20:19 INFO: best learner:
15/04/19 22:20:19 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:20:19 INFO: learner-id=3535 model-performance:         accuracy=0.9093 recall=0.4003 precision=0.6690 f1-score=0.5009 auc=0.9370
15/04/19 22:20:19 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=1.984865e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:19 INFO: learner-id=3535 active-features:           updates=0000288330 min=0000021 max=0000021 mean=0000021 total-sum=0006054930
15/04/19 22:20:19 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:19 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000002
15/04/19 22:20:19 INFO:
15/04/19 22:20:19 INFO:
15/04/19 22:20:19 INFO: final consolidation:
15/04/19 22:20:20 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:20:20 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=1.984865e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:20 INFO: learner-id=3535 active-features:           updates=0000288330 min=0000021 max=0000021 mean=0000021 total-sum=0006054930
15/04/19 22:20:20 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:20 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000003
15/04/19 22:20:20 INFO:
15/04/19 22:20:20 INFO:
15/04/19 22:20:20 INFO: saved final learner:
15/04/19 22:20:20 INFO: learner-id=3535 model-configuration:       learning-rate=1.0
15/04/19 22:20:20 INFO: learner-id=3535 model-convergence:         negative-log-likelihood=1.984865e-01 (delta=1.000000e+00) is-converged=no
15/04/19 22:20:20 INFO: learner-id=3535 active-features:           updates=0000288330 min=0000021 max=0000021 mean=0000021 total-sum=0006054930
15/04/19 22:20:20 INFO: learner-id=3535 active-features-quantiles: quantile-10=0000021 quantile-50=0000022 quantile-90=0000022
15/04/19 22:20:20 INFO: learner-id=3535 model-status:              model-size=19392 (0.02 MB) #params=202 #pruning-calls=0000000003
15/04/19 22:20:20 INFO:
15/04/19 22:20:20 INFO: initial-training: finished
15/04/19 22:20:21 INFO: Training complete.


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15/04/19 22:19:06 INFO: Submitting training job to single mapper.
15/04/19 22:21:08 INFO: The job for Predictor 'pr-ml-XNSJy2LDTht' in account '349719896899' succeeded.


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