Module 2 Assessment: Regularised Linear and Logistic Models Check

Estimated active time: 30-45 minutes

Question 1

What does lasso do that ridge does not?

Pass answer: states that lasso drives coefficients to exactly zero, performing selection.

Question 2

Why must features be standardised before regularising?

Pass answer: explains that an unstandardised penalty falls unevenly across columns by scale.

Question 3

Report validation score at three regularisation strengths. What does the pattern show?

Pass answer: gives three figures and describes the underfit/overfit trade-off they trace.

Question 4

Which features did lasso remove, and is that plausible?

Pass answer: names the dropped features and judges them against domain sense, not just the number.