Logistic regression can present nonlinear decision boundaries if nonlinear functions of the features are introduced in the model Both LDA and QDA formulations are based on the Bayes rule OLDA and QDA both have closed-form expressions for the model parameters when fitted to data QDA presents a more flexible model than the LDA LDA and logistic regression both have closed-form expressions for the model parameters when fitted to data O Logistic regression cost for binary classification is convex Logistic regression can present nonlinear decision boundaries if nonlinear functions of the features are introduced in the model Both LDA and QDA formulations are based on the Bayes rule OLDA and QDA both have closed-form expressions for the model parameters when fitted to data QDA presents a more flexible model than the LDA LDA and logistic regression both have closed-form expressions for the model parameters when fitted to data O Logistic regression cost for binary classification is convex