Which of the following is a correct interpretation of cross validation technique?

Cross validation is to partition the data set into training and validation. Training data is for building model, and validation data is for select the best model. $($ans chegg and chatt is wrong$)$

Cross validation is a method for building models.

Cross validation does not need to apply partition node.

None of the above. $($P marked$)$