Summary

Choosing an appropriate evaluation metric and laying out a procedure for evaluation/validation are essential parts of any machine learning project. You have learned about a variety of relevant evaluation metrics and how to avoid overfitting using holdout sets and/or cross validation. In the next chapter, we will start looking at machine learning models and we will build our first model using linear regression!

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