On 10/07/2015 03:29 AM, Joel Nothman wrote:
> RFECV will select features based on scores on a number of validation
> sets, as selected by its cv parameter. As opposed to that
> StackOverflow query, RFECV should now support RandomForest and its
> feature_importances_ attribute.
>
RFECV is not t
RFECV will select features based on scores on a number of validation sets,
as selected by its cv parameter. As opposed to that StackOverflow query,
RFECV should now support RandomForest and its feature_importances_
attribute.
On 7 October 2015 at 18:16, Raphael C wrote:
> I have a training set,
I have a training set, a validation set and a test set. I build a
random forest using RandomForestClassifier on the training set.
However, I would like to tune it by scoring on the validation set.
I find that the cross-validation score on the training set is a lot
better than the score on the
