Logistic regression is a statistical method used for binary classification, where the goal is to model the relationship between a dependent binary variable and one or more independent variables. Unlike linear regression, which predicts continuous outcomes, logistic regression predicts the probability that a given input belongs to a particular category $($often coded as $0$ or $1).$ Which of the following are symptoms of a logistic regression model being overfit?

a$.$ None

b$.$ Simple decision boundary

C$.$ Good generalization to unseen data

d$.$ Large estimated coefficients