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 (a technique known as ensemble learning) by training each model to correct the errors of the preceeding model.
This model is useful for handling numerical and categorical features, but is less suitable for sparse data such as text.