Discussion of Lecture 6

Xijia Liu

Department of Statistics, Umeå University

Lecture 6: Model Validation and Selection

  • What is KNN? What is special about KNN? Can you apply KNN for regression problem?
  • What is difference between model parameters and hyper-parameters?
  • How do you deteremine the values of hyper-parameters?
  • LOOCV V.S. KFCV V.S. Bootstrap
  • Why applying stepwise selection methods has the risk of local optimal solution trap?
  • What is the difference between ridge regression and LASSO?
  • What is the hyper-parameter in regularization methods? What is the its role?