hyperparameter optimization

The article addresses the problem of optimizing linear regression models under conditions of high dimensionality and multicollinearity, which are typical for modern machine learning applications. The relevance of the study is обусловлена the need to ensure a balance between model generalization ability and interpretability, especially when dealing with noisy and limited datasets.