A classifier based on a collection of decision trees combined with gradient boosting.
- macOS 10.14+
- Xcode 10.0+
- Create ML
A boosted tree classifier combines several
MLDecision models together (known as ensembling) by training trees to correct for errors in their predecessor.
This model is useful for handling numerical and categorical features, but is less suitable for sparse data such as text data.