Data Science, Regularization, Machine Learning, Editors Pick, Hands On Tutorials.
coefficient was shrunk to zero. Variance was indeed reduced compared to the Ordinary Least Squares approach when you picked the optimal lambda for the regularization. You could see the bias-variance trade-off at play. A Ridge Regression model with a lambda of 15, when compared to models with lower