Optimal Weighted (cid:96)2 Regularization in Overparameterized Linear Regression

The dataset is used to study the optimal weighted (cid:96)2 regularization in overparameterized linear regression. The dataset consists of 1000 samples, each with 100 features, and is generated using a linear regression model with a Gaussian prior.