**** Random Forest (sklearn) ****
Running RandomForest with a maximum time of 3600s on 2 cores.
We completely ignore the requirement to stay within the time limit.
We completely ignore the advice to optimize towards metric: auc.
CPU Utilization: 48.4%
Memory Usage: 9.9%
Disk Usage: 59.0%
CPU Utilization: 100.0%
Memory Usage: 20.7%
Disk Usage: 59.0%
CPU Utilization: 100.0%
Memory Usage: 30.8%
Disk Usage: 59.0%
CPU Utilization: 100.0%
Memory Usage: 42.5%
Disk Usage: 59.0%
CPU Utilization: 100.0%
Memory Usage: 45.9%
Disk Usage: 59.0%
CPU Utilization: 100.0%
Memory Usage: 91.3%
Disk Usage: 59.0%
Subprocess running exec_run died abruptly.
Traceback (most recent call last):
File "/content/automls/automlbenchmark/automl/utils.py", line 698, in call_in_subprocess
result = q.get_nowait()
File "/usr/lib/python3.6/multiprocessing/queues.py", line 126, in get_nowait
return self.get(False)
File "/usr/lib/python3.6/multiprocessing/queues.py", line 107, in get
raise Empty
queue.Empty
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/content/automls/automlbenchmark/automl/benchmark.py", line 371, in run
meta_result = framework.run(self._dataset, task_config)
File "/content/automls/automlbenchmark/frameworks/RandomForest/init.py", line 10, in run
return call_in_subprocess(exec_run, *args, **kwargs)
File "/content/automls/automlbenchmark/automl/utils.py", line 704, in call_in_subprocess
raise Exception("Subprocess running {} died abruptly.".format(target.name))
Exception: Subprocess running exec_run died abruptly.
Metric scores: { 'acc': nan,
'auc': nan,
'duration': nan,
'fold': 0,
'framework': 'RandomForest',
'id': 'openml.org/t/189354',
'info': 'Exception: Subprocess running exec_run died abruptly.',
'mode': 'local',
'models': nan,
'params': "{'n_estimators': 2000}",
'result': nan,
'seed': 3104790822,
'tag': 'stable',
'task': 'Airlines',
'utc': '2019-07-18T18:37:20',
'version': '0.19.2'}
Job local_Airlines_0_RandomForest executed in 748.140 seconds.
Starting job local_Airlines_1_RandomForest.
Assigning 2 cores (total=2) for new task Airlines.
Assigning 9945 MB (total=13023 MB) for new Airlines task.
Running task Airlines on framework RandomForest with config:
TaskConfig(framework='RandomForest', framework_params={'n_estimators': 2000}, type='classification', name='Airlines', fold=1, metrics=['auc', 'acc'], metric='auc', seed=3104790823, max_runtime_seconds=3600, cores=2, max_mem_size_mb=9945, min_vol_size_mb=-1, input_dir='/root/.openml/cache', output_dir='/content/automls/automlbenchmark/results/local_randomforest_openml_20190718T163809', output_predictions_file='/content/automls/automlbenchmark/results/local_randomforest_openml_20190718T163809/predictions/randomforest_Airlines_1.csv')
**** Random Forest (sklearn) ****
Running RandomForest with a maximum time of 3600s on 2 cores.
We completely ignore the requirement to stay within the time limit.
We completely ignore the advice to optimize towards metric: auc.
CPU Utilization: 80.5%
Memory Usage: 12.8%
Disk Usage: 59.1%
CPU Utilization: 99.9%
Memory Usage: 23.4%
Disk Usage: 59.1%
CPU Utilization: 100.0%
Memory Usage: 35.9%
Disk Usage: 59.1%
CPU Utilization: 100.0%
Memory Usage: 48.7%
Disk Usage: 59.1%
CPU Utilization: 100.0%
Memory Usage: 57.2%
Disk Usage: 59.1%
Subprocess running exec_run died abruptly.
Traceback (most recent call last):
File "/content/automls/automlbenchmark/automl/utils.py", line 698, in call_in_subprocess
result = q.get_nowait()
File "/usr/lib/python3.6/multiprocessing/queues.py", line 126, in get_nowait
return self.get(False)
File "/usr/lib/python3.6/multiprocessing/queues.py", line 107, in get
raise Empty
queue.Empty
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/content/automls/automlbenchmark/automl/benchmark.py", line 371, in run
meta_result = framework.run(self._dataset, task_config)
File "/content/automls/automlbenchmark/frameworks/RandomForest/init.py", line 10, in run
return call_in_subprocess(exec_run, *args, **kwargs)
File "/content/automls/automlbenchmark/automl/utils.py", line 704, in call_in_subprocess
raise Exception("Subprocess running {} died abruptly.".format(target.name))
Exception: Subprocess running exec_run died abruptly.
Metric scores: { 'acc': nan,
'auc': nan,
'duration': nan,
'fold': 1,
'framework': 'RandomForest',
'id': 'openml.org/t/189354',
'info': 'Exception: Subprocess running exec_run died abruptly.',
'mode': 'local',
'models': nan,
'params': "{'n_estimators': 2000}",
'result': nan,
'seed': 3104790823,
'tag': 'stable',
'task': 'Airlines',
'utc': '2019-07-18T18:47:53',
'version': '0.19.2'}
Job local_Airlines_1_RandomForest executed in 632.856 seconds.