# Question about K-Fold Cross Validation

In a machine learning procedure, suppose we've chosen k=10 for the "K-Fold Cross Validation". After we do the k steps of "K-Fold Cross Validation", how do we choose the final model for the classifier ? (The one will we use in order to predict new data)