Final answer:
In a generalized linear model (GLM) with a binary target, the binomial and Bernoulli distributions are commonly used. The logit function is the typical link function for binary targets in a GLM.
Step-by-step explanation:
In a generalized linear model (GLM) with a binary target, the two most commonly used distributions are the binomial distribution and the Bernoulli distribution. The binomial distribution is used when there are multiple independent trials, each with the same probability of success, while the Bernoulli distribution is used when there is only one trial. Both distributions model binary outcomes, such as yes/no or success/failure.
The link function for binary target in a GLM is usually the logit function. The logit function transforms the probability of success to a function of the linear predictor, which allows for modeling the relationship between the predictors and the probability of success.