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classfication relation in features/examples size

I've found that to determine the size of the training set for a classifier (decision tree, naive bayes, Knn,etc) it is recommended that you need at least 6 times the number of cases (samples) as features.. but can't find any reference (paper or publication) about that. Are you aware of any reference please?

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