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How to fairly conduct a model performance with 5-fold cross validation after augmentation?
I have, say, a (balanced) data-set with 2k images for binary classification. What I have done is that
randomly divided the data-set into 5 folds;
copy-pasted all 5-fold data-set to have 5 exact ...
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