Summary: Details of Logistic Regression and Feature Extractor

In this chapter, we have learned how to explore features one at a time, using univariate feature selection methods including Pearson correlation and an ANOVA F-test. While looking at features in this way does not always tell the whole story, because you are potentially missing out on important interactions between features, it is often a helpful step.