In this chapter, we will cover:

• Getting and preparing real-world medical data for exploring Decision Trees and Ensemble models in Spark 2.0
• Building a classification system with Decision Trees in Spark 2.0
• Solving regression problems with Decision Trees in Spark 2.0
• Building a classification system with Random Forest Trees in Spark 2.0
• Solving regression problems with Random Forest Trees in Spark 2.0
• Building a classification system with Gradient Boosted Trees (GBT) in Spark 2.0
• Solving regression problems with Gradient Boosted Trees (GBT) in Spark 2.0