On 03/22/2016 03:27 AM, Gilles Louppe wrote:
> Unfortunately, the most important parameters to adjust to maximize
> accuracy are often those controlling the randomness in the algorithm,
> i.e. max_features for which this strategy is not possible.
>
> That being said, in the case of boosting, I think this strategy would
> be worth automatizing, e.g. to adjust the number of trees.

https://github.com/scikit-learn/scikit-learn/pull/5689


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