Using an external validation set in classification learner

Hello,

The usual way to validate your model in the classification learner is to use one of the two options i.e. k-fold cross validation or hold out validation.

However I would like to use my own validation set I have prepared. Can you tell me how to do that in the classification learner?

Thanks a lot for your help.

Regards,

Ludovic.

Answer 1

[Drew]

First, using your own validation set information, create a "CustomPartition" cvpartition object based on the instructions at https://www.mathworks.com/help/stats/cvpartition.html

Second, starting in R2026a, the cvpartition object that you created can be imported into Classification Learner using the "ValidationPartition" Name-Value pair when starting the Classification Learner app from the command line. See https://www.mathworks.com/help/releases/R2026a/stats/classificationlearner-app.html for more details.