Classification Learner App - Custom cross validation grouping
显示 更早的评论
I am using the classification learner app - can I can define the grouping for cross validation?
The data set I am using has repeated measures from a number of different subjects. Those repeated measures from within a single subject are not independent and thus should not be randomized to different groups for cross validation. Is it possible to provide such grouping for cross validation with the classification learner app?
回答（1 个）
Muskan
2024-9-25
0 个投票
Hi,
To perform a custom cross validation you can use "cvpartition" to create a custom cross-validation partitioning. You can use the 'Leaveout', 'KFold', or 'Holdout' options, and specify the 'Groups' parameter to ensure that data from the same subject is kept together in the same fold.
You can refer to the following documentation of "cvpartition" for more information: https://www.mathworks.com/help/stats/cvpartition.html
I hope this helps!
类别
在 帮助中心 和 File Exchange 中查找有关 Classification Learner App 的更多信息
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!
Translated by 
