Repo: imbalanced-learn
Filename: /mnt/batch/tasks/workitems/opt1/job-1/Task_imbalanced-learn/wd/borntobeflaky/projects/imbalanced-learn/imblearn/ensemble/tests/test_forest.py
ClassName: none
Testname: test_balanced_random_forest
Params: n_estimators,65,19,ParamType.CHAINS,10
Assertion: assert len(brf.feature_importances_) == imbalanced_dataset[0].shape[1]
Original runtime: 1.2830000000000001
>>Getting original runtime
Optimization Iteration: 1
Running with params: {'n_estimators': 10}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_imbalanced-learn/wd/borntobeflaky/tool/logs/optim_1597729879_imbalanced-learn/run_1597729879/assert_98704604_10
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.6853333333333336, Max: 1.73, Min: 1.6099999999999999
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 1.6853333333333336, Max: 1.73, Min: 1.6099999999999999
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 1.6853333333333336
Score: 1.6853333333333336
Best-score: 1.6853333333333336
Best-param: {'n_estimators': 10}
>>Setting original runtime to 1.6853333333333336
Optimization Iteration: 1
Running with params: {'n_estimators': 20}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_imbalanced-learn/wd/borntobeflaky/tool/logs/optim_1597729879_imbalanced-learn/run_1597729879/assert_98704604_20
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Timings: Avg: 1.7420000000000002, Max: 1.78, Min: 1.62
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 1.7420000000000002, Max: 1.78, Min: 1.62
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 1.7420000000000002
Score: 1.7420000000000002
Best-score: 1.6853333333333336
Best-param: {'n_estimators': 10}
Optimization Iteration: 2
Running with params: {'n_estimators': 60}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_imbalanced-learn/wd/borntobeflaky/tool/logs/optim_1597729879_imbalanced-learn/run_1597729879/assert_98704604_60
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.0319999999999996, Max: 2.07, Min: 1.9400000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 2.0319999999999996, Max: 2.07, Min: 1.9400000000000002
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 2.0319999999999996
Score: 2.0319999999999996
Best-score: 1.6853333333333336
Best-param: {'n_estimators': 10}
Optimization Iteration: 3
Running with params: {'n_estimators': 20}
Optimization Iteration: 4
Running with params: {'n_estimators': 20}
Optimization Iteration: 5
Running with params: {'n_estimators': 1}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_imbalanced-learn/wd/borntobeflaky/tool/logs/optim_1597729879_imbalanced-learn/run_1597729879/assert_98704604_1
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.6326666666666663, Max: 1.6600000000000001, Min: 1.5499999999999998
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 1.6326666666666663, Max: 1.6600000000000001, Min: 1.5499999999999998
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 1.6326666666666663
Score: 1.6326666666666663
Best-score: 1.6326666666666663
Best-param: {'n_estimators': 1}
Optimization Iteration: 6
Running with params: {'n_estimators': 60}
Optimization Iteration: 7
Running with params: {'n_estimators': 30}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_imbalanced-learn/wd/borntobeflaky/tool/logs/optim_1597729879_imbalanced-learn/run_1597729879/assert_98704604_30
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.805, Max: 1.8399999999999999, Min: 1.6800000000000002
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 1.805, Max: 1.8399999999999999, Min: 1.6800000000000002
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 1.805
Score: 1.805
Best-score: 1.6326666666666663
Best-param: {'n_estimators': 1}
Optimization Iteration: 8
Running with params: {'n_estimators': 80}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_imbalanced-learn/wd/borntobeflaky/tool/logs/optim_1597729879_imbalanced-learn/run_1597729879/assert_98704604_80
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.189333333333333, Max: 2.22, Min: 2.1399999999999997
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 2.189333333333333, Max: 2.22, Min: 2.1399999999999997
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 2.189333333333333
Score: 2.189333333333333
Best-score: 1.6326666666666663
Best-param: {'n_estimators': 1}
Optimization Iteration: 9
Running with params: {'n_estimators': 20}
Optimization Iteration: 10
Running with params: {'n_estimators': 50}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_imbalanced-learn/wd/borntobeflaky/tool/logs/optim_1597729879_imbalanced-learn/run_1597729879/assert_98704604_50
Launching 30 jobs, 30 in parallel
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Timings: Avg: 1.9566666666666668, Max: 2.0, Min: 1.85
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 1.9566666666666668, Max: 2.0, Min: 1.85
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 1.9566666666666668
Score: 1.9566666666666668
Best-score: 1.6326666666666663
Best-param: {'n_estimators': 1}
Optimization Iteration: 11
Running with params: {'n_estimators': 50}
Optimization Iteration: 12
Running with params: {'n_estimators': 80}
Optimization Iteration: 13
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Optimization Iteration: 18
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Optimization Iteration: 19
Running with params: {'n_estimators': 100}
Logdir: /mnt/batch/tasks/workitems/opt1/job-1/Task_imbalanced-learn/wd/borntobeflaky/tool/logs/optim_1597729879_imbalanced-learn/run_1597729879/assert_98704604_100
Launching 30 jobs, 30 in parallel
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Timings: Avg: 2.3233333333333337, Max: 2.36, Min: 2.25
Passed tests : 30
Failed tests : 0
Converged: True
Convergence score: 0.0
Evaluating 30 values out of 30
Overall-timings: Avg: 2.3233333333333337, Max: 2.36, Min: 2.25
Probability of fail : 0.0
All-Passed: True
Probabilty of failure: 0.0
Runtime: 2.3233333333333337
Score: 2.3233333333333337
Best-score: 1.6326666666666663
Best-param: {'n_estimators': 1}
Optimization Iteration: 20
Running with params: {'n_estimators': 50}
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Upto iteration 100: {'n_estimators': 0}
Breaking...
{'n_estimators': 0}
Best score: 1.6326666666666663
Repeated params: 93
Trials: 101
Best param {'n_estimators': 0}
Reduction: 3.1250000000000373%
Speedup: 1.0322580645161294x
Optimizer time: 17.24046516418457
