Machine Learning 1: UNIT 4 (A): Decision Trees Questions

                                                                             UNIT 4

                                                                   Decision Trees

Long Answer Questions

1.     How can you Train and visualizing the Decision tree? Explain.

2.     How can you make prediction to find boundaries of Decision Tree? Explain

3.     Explain CART Training Algorithm with example.

4.     What is the purpose of the estimating the class probabilities?

5.     What is the difference between gini impurity or entropy? Explain.

6.     List the different regularization hyperparameters in decision tree? Explain them.

7.     How Decision Trees are also capable of performing regression tasks? Explain.