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

                                                                          Unit IV (A)

Decision Trees

 

1.     Training and Visualizing a Decision Tree

2.     Making Predictions

3.     Estimating Class Probabilities

4.     The CART Training Algorithm

5.     Computational Complexity

6.     Gini Impurity or Entropy?

7.     Regularization Hyperparameters

8.     Regression