A full tree is a tree where every node has either zero or two children. This means that all of the nodes in the tree are either leaf nodes or internal nodes.
CatBoost is a machine learning gradient-boosting algorithm that’s particularly effective for handling data sets with categorical features. Our expert explains how CatBoost works and why it’s so effective.
Whether you’re brand new to machine learning or have tried (and failed) to get models working in Python, Weka may be the perfect starting point for you.
