This is a repository containing a code for a simple ML application described in my article at DZone - Predictive Services Development with Java and Weka. Please read it :)
Application reads a source dataset containing real estate property prices in Seattle - prices.arff.
It uses linear regression for classifier, and can predict price depending on area (sqft), bedrooms (bd), and distance to the center (mi).
All ML logic is encapsulated in PredictiveService.java.
You can run application using:
mvn compile exec:java -Dexec.mainClass="com.dzone.Main"Result analysis could also be found in article.