forester: An AutoML R package for Tree-based Models

Have you ever spent the whole day applying different Machine Learning (ML) algorithms from several libraries, coping with a legion of conditional and unconditional hyperparameters, and attempting to deal with different data processing techniques? Undeniably, it is a try-and-error work with prerequisite experience. These repeatable trials can be very time-consuming …