hi folks,
what are some useful ranges of parameters to throw into a grid search? and
are there specific difference between randomforests and extra trees? i
understand one could try different impurity measures for classification,
but any suggestions on sensitivity of other parameters would be nice.
cheers,
satra
On Thu, Sep 25, 2014 at 8:48 AM, Andy <t3k...@gmail.com> wrote:
> On 09/23/2014 11:50 PM, Pagliari, Roberto wrote:
>
> I’m a bit confused as to why gridsearchCV is not needed with random
> forests. I understand that with RF, each tree will only get to see a
> partial representation of the data.
>
> Why do you say GridSearchCV is not needed?
> I think it should always be used, only not for setting n_estimators.
> You can use the oob estimates, but actually I don't think we have an
> automated way to use these to adjust parameters.
>
>
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