Week 6: Classification basics (kNN)

Learning Objectives

• 06A I can train and interpret k-NN classification models and explain how the choice of k affects overfitting and underfitting.
• 06B I can compute and interpret classification metrics — accuracy, precision, recall, and the confusion matrix.
• 06C I can split data into training and test sets to evaluate how well a model generalizes to unseen data.

Materials

• Monday class
• Wednesday class