Cross Validation

A. Reduces chances of overfitting because it averages the parameters of the model by training the model a few times

B. Reduces the complexity of the training because it uses lesser data

C. Reduces the possibility of overfitting because it trains and validates the model on multiple holdout sampling

D. Reduces chances overfitting because it uses less training data than the entire dataset