Machine learning is a highly quantitative field. Although we can gauge the performance of a model by plotting how it separates classes and how closely it follows data, more quantitative performance measures are needed in order to evaluate models. In this section, we present cost functions and metrics. Both of them are used in order to assess a model's performance.