Recap
A quick overview of what you have learned, and test it on the given notebook.
We'll cover the following...
General overview
In this chapter, we have gone through many concepts related to classification problems. This is what we have covered:
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Defining a binary classification problem.
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Generating and preparing a toy dataset using Scikit-Learn’s
make_moonsmethod. -
Defining logits as the result of a linear combination of features.
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Understanding what odds ratios and log odds ratios are.
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Figuring we can interpret logits as log odds ratios.
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Mapping ...