[scikit-learn] question about scikit-learn

[熊瑶]

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?


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


cross-validation.    


Thank you.





熊瑶

北京大学深圳研究生院

化学生物学与生物技术学院

 

XIONG Yao

G301, School of Chemical Biology & Biotechnology

Peking University Shenzhen Graduate School

Shenzhen 518055, Guangdong, P.R. China

E-mail: xiongyao at pku.edu.cn or xiongy20121126 at foxmail.com

 
-------------- next part --------------
An HTML attachment was scrubbed...
URL: <http://mail.python.org/pipermail/scikit-learn/attachments/20170503/5ae2fcae/attachment.html>