What is the method called when you look for stability in process classification when you use
subsets of the data? The subsets are selected in a randomized order of equal sample size.
Any help will be greatly appreciated. Thanks.
If I understand your question correctly, the technique you are describing is known as k-fold cross-validation, which is explained here:
Validating Predictive Models
-Will Dwinnell
Data Mining in MATLAB