Select ALL the correct statements.I The purpose of the validation set is to select the model based on its performance on a separatedataset from the training set.# The purpose of the validation set is to train the model on a small subset of the data and test it on theremaining data.Training encompasses the process of adjusting a model's parameters to minimize its crror on a$,$training dataset. Testing refers to evaluating the model's performance on new, unseen data to gauge its ability to gencralize.Suppose you have a dataset with $1000$ examples, and you want to evaluate the performance of a machine learning model using $5-$fold cross$-$validation. Shuffle the dataset randomly, split it into $5$ subscts of $200$ examples each, use each subset for validation $($i$.$c$.$ testing$)$ once and the remaining subsets for training, and repeat the process $5$ times.