Hi, Adam,
about [2]:
These should be the individual metrics for each fold. E.g., if you are using
"accuracy" for scoring & cv=3,
0.75 would be the accuracy on the first fold, 0.33 the accuracy of the second
fold, and 0.67 the accuracy of the 3rd fold.
Those are basically the "raw" output values that are used to calculate "mean"
and "std" that you find in the dictionary.
Best,
Sebastian
> On May 7, 2015, at 1:32 PM, Adam Goodkind <a.goodk...@gmail.com> wrote:
>
> Hi,
>
> I'm trying to understand the output of cv_validation_scores, when running a
> GridSearchCV. The documentation does not adequately explain this.
>
> When I print grid_search.grid_scores_, I get a list with items like this:
> [mean: 0.60000, std: 0.18002, params: {'tfidf__binary': True,
> tfidf__ngram_range': (1, 1)....
>
> which makes sense. However, when I try to unpack each instance of
> grid_scores, I get
> [0] same dictionary as above, makes sense
> [1] score for all folds, makes sense
> [2] a list that I don't understand, that looks like "[ 0.75 0.33333333
> 0.66666667]"
>
> What are the scores being reported here?
>
> Thanks,
> Adam
>
> --
> Adam Goodkind
> adamgoodkind.com <http://www.adamgoodkind.com/>
> @adamgreatkind <https://twitter.com/#!/adamgreatkind>
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