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.
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.
Not quite sure what you are trying to do, but could it be a variant of the bootstrap (or jacknife, or crossvalidataion)?
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.
If I understand your question correctly, the technique you are describing is known as k-fold cross-validation, which is explained here: