Section outline

  • k-NN, Support Vector Machines (SVM), Ensemble methods (Random Forest, Boosting)

    Reading

    Han, Kamber & Pei (Ch. 6.7–6.8)

    • Lab: Building ensemble classifiers for customer churn prediction
    • Case Study: Telecom customer churn analysis