[scikit-learn] question about scikit-learn

[Andreas Mueller]

On 05/03/2017 08:05 AM, 熊瑶 wrote:
> Dear professor,
>
> scikit-learn is really good for me to do some work using machine 
> learning method. Here, I have two questions:
>
> 1）To do 5 fold cross-validation, when I use StratifiedKFold，I could 
> get stratified folds that each fold contains approximately the same 
> percentage of samples
>
> of each target class as the complete set. And, when I use GroupKFold, 
> it ensures that the same group is not represented in both testing and 
> training sets.
>
> I want to know whether there is a method to combine these two methods 
> together?
Not implemented (yet). I think because it was a bit unclear what's the 
best thing to do.

>
> 2) When I use GridSearchCV to do parameter search, I use 
> scoring="accuracy" as scoring function to choose the best parameters. 
> And I find that I can only get
>
> the accuracy score from the 5 fold cross-validation. What can I do if 
> I want to get other scores such as sensitivity, specificity, MCC *at 
> the same time*? It
>
> means that I want to use accuracy to choose the best parameters and I 
> want to get the scores of many scoring parameters at the same time 
> when I do 5 fold
>
https://github.com/scikit-learn/scikit-learn/pull/7388
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