How to use 'crossval' without pretrained model?
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How can you generate a partitioned model using the 'crossval' function without creating a pretrained model first?
Accepted Answer
MathWorks Support Team
on 8 Sep 2022
This functionality is not supported by the 'crossval' function. However, one workaround is to use a fit function with the 'CrossVal' name-value argument specified.
For example, to directly generate a partitioned SVM model, you can run the following command:
CV_SVM_model = fitcsvm(X,Y,'CrossVal','on')
To read more about the cross-validation options for the ‘fitcsvm’ function, please refer to the following documentation page:
Similar steps can be taken with fit functions for other model types.
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