DecisionTree.jl is an open source Julia package for machine learning, offering fast and flexible implementation of Decision Trees (CART), Random Forests, and AdaBoost algorithms for classification and regression tasks. It is suitable for data scientists, researchers, and Julia developers needing interpretable and efficient decision tree models, with integration points for popular Julia ML frameworks such as MLJ.jl, ScikitLearn.jl, and AutoMLPipeline.jl.
Visit DecisionTree.jl's official website for product details and getting started.
Community discussions and troubleshooting for users of DecisionTree.jl.