mlr3 is an R package serving as the successor to the popular mlr library, providing efficient object-oriented abstractions for the core building blocks of machine learning. It offers standardized interfaces for learners, tasks, and resampling strategies, enabling classification, regression, and other supervised learning workflows in R.