Logistic Regression, Machine Learning, Classification, Regularization, Algorithms.
features as it creates sparsity in the weight vector, as the weight Wᵢ corresponding to feature fᵢ becomes 0 if feature fᵢ is of less or no importance. L1 Regularization L2 Regularization L2 regularization is also called Ridge Regression or L2-Norm. It adds an L2 penalty of the square of the