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Random Forest Hyperparamter Optimization
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Random Forest Hyperparamter Optimization
#2
The search space in your case is very huge. The number of parameter combinations: 4800 * 3 * 100 * 5 * 5 * 2, but search algorithm checks only 100 (n_iter=100) combinations. So, it is possible that search algorithm chose bad combinations. It would be better, if you reduce the volume of search space, e.g.

n_estimators = [100, 150, 200, 300, 500]
max_depth =[5, 10, 20, 40]
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Messages In This Thread
RE: Random Forest Hyperparamter Optimization - by scidam - Jan-17-2020, 06:30 AM

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