PSL_Book
1. Introduction
2. Linear Regression
3. Variable Selection and Regularization
4. Regression Trees and Ensemble
5. Nonlinear Regression
6. Clustering Analysis
7. Latent Structure Models
8. TBA
9. Discriminant Analysis
10. Logistic Regression
11. Support Vector Machine
12. Classification Trees and Boosting
12.1. Introduction
12.2. Impurity Measures
12.3. Misclassification Rate vs. Entropy
12.4. AdaBoosting
12.5. Forward Stagewise Additive Modeling
13. Recommender System
PSL_Book
12.
Classification Trees and Boosting
12.
Classification Trees and Boosting
12.1. Introduction
12.2. Impurity Measures
12.3. Misclassification Rate vs. Entropy
12.4. AdaBoosting
12.5. Forward Stagewise Additive Modeling