Poisson regression
Using Poisson regression, you can model count data.
Using Poisson regression, you can model count data. Poisson regression offers an alternative to linear regression or logistic regression and is useful when the target variable describes event frequency (event count in a fixed interval of time). Linear regression is preferable if you aim to predict continuous numerical outcomes in linear relationships, while logistic regression is used for predicting a binary classification.
You can use the following functions to build a Poisson regression model, view the model, and use the model to make predictions on a set of test data: