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Leave-P-Out Cross-Validation - What is leave-one-out cross-validation?


With K equal to N, the total number of data points in the set, leave-one-out cross validation is the extreme form of K-fold cross validation. That is to say, N times along the training process, we exclude one point from the data and use the function approximator to make a forecast for the missing point.