Summary

In this chapter, you learned how to implement basic machine learning tasks with Weka: classification, regression, and clustering. We briefly discussed the attribute selection process and trained models and evaluated their performance.

The next chapter will focus on how to apply these techniques to solving real-life problems, such as customer retention.