I was looking at MATLAB Help and want to work with "crossvalind" function. It would two parameters that you can use it.
If you use "HoldOut" you can define partition size of test and train data set and when you use "Kfold" you can define "fold counts".
Now I want to know is there a way to use "Kfold" parameter and define partition size of test and train data sets?
I checked it and it seems when you use "Kfold" as bellow code, it always default partition size like 75% to 25% .
indices = crossvalind('Kfold',species,10);