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
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