Decision tree modelling is an iterative process that depends on the parameters to control the size of a decision tree. In other words, what are the hyperparameters that help to minimize the size of the maximal tree?

Group of answer choices

Max$\_$depth and Min$\_$samples$\_$leaf

Min$\_$depth and Max$\_$samples$\_$leaf

Criterion

All the above