vals = kfoldfun(CVMdl,fun)
cross-validates the function fun by applying fun
to the data stored in the cross-validated model CVMdl. You must pass
fun as a function handle.
Cross-validation results, returned as a numeric matrix. vals contains the
arrays of testvals output, concatenated vertically over all folds.
For example, if testvals from every fold is a numeric vector of
length N, kfoldfun returns a
KFold-by-N numeric matrix with one row per
fold.
You can also select a web site from the following list
How to Get Best Site Performance
Select the China site (in Chinese or English) for best site performance. Other MathWorks country sites are not optimized for visits from your location.