Logistic Regression, Machine Learning, Classification, Regularization, Algorithms.
overfitting or underfitting. Let’s say we have a dataset with features (columns) <f₁, f₂….fₙ> and the weight vector W corresponding to features is <W₁, W₂….Wₙ>. The loss term in the case of logistic regression is: Loss Term In Logistic Regression, we have a hyperparameter (λ) and regularization is