DecisionTree.jl

DecisionTree.jl is an open-source Julia package for supervised machine learning using Decision Tree (CART) and Random Forest algorithms. It supports both classification and regression tasks with features such as pre- and post-pruning, multi-threaded bagging, adaptive boosting, and cross-validation. It is suitable for Julia users in scientific computing, data science, and machine learning who require interpretable models and integration with other Julia ML ecosystems such as MLJ.jl and ScikitLearn.jl.