What is the role of regularization in decreasing overfitting of a biased dataset?
Summary Regularization plays a critical role in reducing overfitting, especially when working with a biased dataset. It constrains the model from memorizing noise or skewed patterns and forces it to learn simpler, more generalizable representations. Root Cause Overfitting on a biased dataset happens because the model: Learns spurious correlations present in the biased data. Memorizes … Read more