July 2017
Beginner to intermediate
715 pages
17h 3m
English
Content preview from Java: Data Science Made Easy
Become an O’Reilly member and get unlimited access to this title plus top books and audiobooks from O’Reilly and nearly 200 top publishers, thousands of courses curated by job role, 150+ live events each month,
Start your free trial
Decision tree libraries
There are several Java libraries that support decision trees:
- Apache Spark: https://spark.apache.org/docs/1.2.0/mllib-decision-tree.html
- JBoost: http://jboost.sourceforge.net
- MAchine Learning for LanguagE Toolkit (MALLET): http://mallet.cs.umass.edu
We will use Waikato Environment for Knowledge Analysis (Weka) to demonstrate how to create a decision tree in Java. Weka is a tool that has a GUI interface that permits analysis of data. It can also be invoked from the command line or through a Java API, which we will use.
As a tree is being built, a variable is selected to split the tree. There are several techniques used to select a variable. The one we use is determined ...