Machine Learning, Artificial Intelligence, Python, Statistics, Mathematics.
lowest MSE for Ridge Regularization It does work better! MSE is significantly lower (0.0526 vs 0.2479) and the curve manages to actually get the ascendent curve we would like to reproduce, even if it doesn’t manage to get the descending part. 2.2.2 Lasso: It sums the loss function (given by the MSE