Summary: Details of Logistic Regression and Feature Extractor

Here is a brief summary of the contents of this chapter.

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.

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