Consider the context of training and testing machine learning models. Select the correct statement.

In five$-$fold cross$-$validation, the ML model is trained four times.

In five$-$fold cross$-$validation, the model is trained on $80\%$ of the data and validated on the remaining $20\%.$

In five$-$fold cross$-$validation, $50$ percent of the data is used for training and validation..

In five$-$fold cross$-$validation, $80$ percent of the data is used for training and validation.