On 07/25/2014 10:30 PM, Pagliari, Roberto wrote:
Hi Andy,
Maybe it's just me, but the "left out data" threw me off. Perhaps, I
would integrate with your previous comments:
best_estimator_
estimator
Estimator that was chosen by the search, i.e. estimator which gave
highest *average* score (or smallest loss if specified) *over the
cross-validation folds*. on the left out data.
best_score_
float
*Highest average score*of *the* best_estimator *computed above* on the
left out data.
This is not entirely correct. The "best_estimator_" is retrained on the
whole training set, while best_score_ is the average over folds.
I like your string for best_estimator_, but for best_score_ I would
probably also say "Highest average score of the best parameter setting
over cross-validation folds".
Pull request welcome. The current docstring warrants improvement I think ;)
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