1.5 Model testing and metrics

When we create any kind of model we need to test its performance. This is a huge subject in data science, and it is the place where most often errors occur. In this course we will cover the basic strategies and metrics we are using to evaluate models in statistics and machine learning

Goals:

1. Understand how to test machine learning models
2. Understand the basics of cross-validation