What is the rationale for the choice of number of segments in cross-validation?

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Dr. Indrajit Mandal

10 is a good number to start with.

In most research publications , it is followed across the globe.

Thank you.

Best,

INDRAJIT MANDAL

Mahmoud Omid

Hi, It depends on the data set. If you have large number of instances (pattern) then 10-fold is good to start with. But if you have few instances the you should apply LOO (leave one out) cross validation.

Pekka Jounela

Hi, the choice of folds is compared by Ron Kohavi, A study of cross-validation and bootstrap for accuracy estimation and model selection, Proceedings of the 14th international joint conference on Artificial intelligence, p.1137-1143, August 20-25, 1995, Montreal, Quebec, Canada.