Logistic Regression, Machine Learning, Classification, Regularization, Algorithms.
coefficients of the plane (W). In contrast to L1 regularization where more sparsity is encouraged, in L2 regularization if feature fᵢ is less significant then weight Wᵢ corresponding to that feature becomes very small not necessarily zero. L2 Regularization The hyperparameter (λ) is calculated