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Statistical classification is the problem of identifying the sub-population to which new observations belong, where the identity of the sub-population is unknown, on the basis of a training set of data containing observations whose sub-population is known. Therefore these classifications will show a variable behavior which can be studied by statistics.
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Evaluating the classifier on K validation sets, but training it on a fixed training set, whe...
I think your approach defeats the purpose of cross-validation which is that you can use the same samples for training and validation (in different folds) to get the best possible model out of your lim …