Mastering Scala Machine Learning

Regression trees

We have seen classification trees in the previous chapter. One can build a recursive split-and-concur structure for a regression problem, where a split is chosen to minimize the remaining variance. Regression trees are less popular than decision trees or classical ANOVA analysis; however, let's provide an example of a regression tree here as a part of MLlib:

akozlov@Alexanders-MacBook-Pro$ bin/spark-shell 
Welcome to
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     / __/__  ___ _____/ /__
    _\ \/ _ \/ _ `/ __/  '_/
   /___/ .__/\_,_/_/ /_/\_\   version 1.6.1-SNAPSHOT
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Using Scala version 2.10.5 (Java HotSpot(TM) 64-Bit Server VM, Java 1.8.0_40)
Type in expressions to have them evaluated.
Type :help for more information.
Spark context available as sc.
SQL context available ...