Performance Evaluation of Machine Learning Models

After learning about the most important machine learning models in the previous chapter, this chapter explains how to evaluate the performance of machine learning models. Evaluating the performance means that we determine how well the model learns the given subject (data) and how well it applies this learning in practice. Each major form of machine learning has its own performance measures and they are often application dependent. This chapter explains the different types of performance evaluations and how and where to apply them. After reading this chapter you will be able to understand the performance measures reported by machine learning algorithms.