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Double-cross validation

A type of validation procedure used in correlation and regression model. It is a special form of validation in which the sample is split into two halves. One half serves as the estimation sample and the other as a validation sample. The roles of
the estimation validation halves are then reversed, and the cross validation process is repeated.