Question 2
You and your friend are building a KNN model to classify customers based on their shopping patterns. You use cross-validation to choose K = 6, while your friend guesses and sets K = 2. On the test set, you notice that your friend's model has a much higher training accuracy but much lower test accuracy than yours. Which of the following is the best explanation?
Your friend’s model has higher bias than yours
Your friend’s model has higher variance and overfits the data
Your model underfits the data compared to your friend’s model
Your model overfits the data compared to your friend’s model