Tree Modeling and Gradient Boosting with Scikit-Learn, XGBoost, PySpark, and H2O
Tshepo Chris Nokeri · Apress eBooks · 2021
This chapter executes and appraises a tree-based method (the decision tree method) and an ensemble method (the gradient boosting trees method) using a diverse set of comprehensive Python frameworks (i.e., Scikit-Learn, XGBoost, PySpark, and H2O). To begin, the chapter clarifies how decision trees compute the probabilities of classes.