Chapter 5Evaluating Machine Learning Models
WHAT'S IN THIS CHAPTER
- Learn how to evaluate the performance of regression models
- Learn how to evaluate the performance of classification models
- Learn to use the grid-search technique to choose the optimal set of hyperparameters for your model
In the previous chapter, you learned how to use Scikit-learn to create different types of machine learning models. In this chapter you will learn to use Scikit-learn to evaluate the performance of the models you have trained and techniques to select the values of hyperparameters that will result in an optimal model.
Since the purpose of a machine learning model is to predict something correctly, you will want to ensure that the predictive accuracy of your ...
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