1.1 Forward selection is an example of the Filter method for feature selection. [T/F]

1.2 Filter methods are much faster compared to wrapper methods as they do not involve training the models. [T/F]

1.3 When using a k-fold cross-validation process, the validation dataset should only be used to evaluate the accuracy of the final model that you chose from the k-fold cross-validation process. [T/F]

1.4 A decision tree have multiple leaf nodes with the same classification. [T/F]