Maximum Depth of a Decision Tree Under min_samples_split and min_samples_leaf

Question 1

Refer to the given definition of a decision tree classifier in Python using the Sklearn library. If the data has 500 valid observations, what can be the maximum depth of the resultant decision tree? ```python DT_CL = sklearn.tree.DecisionTreeClassifier(criterion='gini', splitter='best', min_samples_split=50, min_samples_leaf=100) ```