O'Reilly logo

R Machine Learning Essentials by Michele Usuelli

Stay ahead with the world's most comprehensive technology and business learning platform.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, tutorials, and more.

Start Free Trial

No credit card required

Summary

In this chapter, we learned how to evaluate the performance of a model as the average accuracy of the prediction. We understood how to determine an accurate cross-validation index expressing the accuracy. Starting from the cross-validation index, we tuned the parameters. In addition, we learned how to select the features using a filter or a frapper and how to tune features and parameters at the same time. This chapter described the last part of building a machine learning solution and the next chapter shows an overview of some of the most important machine learning techniques.

With Safari, you learn the way you learn best. Get unlimited access to videos, live online training, learning paths, books, interactive tutorials, and more.

Start Free Trial

No credit card required