GATE Machine Learning: Supervised learning: regression – Previous Year Questions

4 GATE previous year questions on Supervised learning: regression (Machine Learning, Data Science and Artificial Intelligence) with answers and explanations, from every paper.

1. GATE 2025 DA Q34 (1 mark, Numerical answer) – Given data \(-1, 1), (2, -5), (3, 5)\ of the form (x, y), we fit a model y = wx using linear least-squares regression. The optimal value of w is…
2. GATE 2026 DA Q29 (1 mark, Numerical answer) – Consider that for a supervised learning task, the objective function being minimized is f w(x) = wx, where x R is the input and w R is the parameter.…
3. GATE 2026 DA Q37 (2 marks, Multiple choice) – Which of the following statements is true for Ridge Regression?
4. GATE 2026 DA Q55 (2 marks, Numerical answer) – Consider that Linear Ridge Regression is being used to learn a prediction function y pred = wTx, where w, x R2 and Mean Absolute Error (MAE) is used…