Multivariate adaptive regression splines

Multivariate adaptive regression splines (MARS) is a way of using math to build a model that can predict what will happen in the future. It works by finding patterns in a set of data (like a big table of numbers) that help show which factors (things that can change, like weather or location) have an effect on the outcome (like how many sales a store makes). It looks at each of the factors one by one, and uses math to figure out how much of an effect each factor has and how they interact with each other. In the end, it gives us a model that can tell us what to expect when we change different factors in the future.