Data Science, Machine Learning, Regression, Data Analysis, Statistics.
unseen data. Overfitting is problematic because it reduces the model’s generalizability and predictive power on real-world data, which is the primary objective of most regression models. Regularization is a technique used to prevent overfitting. It does so by adding a penalty to the model’s