Question

How to compute cross validation error in leave one out cross validation?

Answer 1

Answer:

Introduction: Leave-one-out cross-validation

The first is the training set error and the second is the generalization error. The former relates to how close the regression is to the data being fit. In contrast, the generalization error relates to how accurate the model will be when applied to other points