PART 2 OF THE DEEP DIVE INTO ODDS RATIOS SERIES
A complete information on learn how to extract and discover odds ratios from a Logistic Regression mannequin utilizing Python and Statsmodels, with examples.
Once we construct a statistical mannequin, we regularly focus extra on its predictive worth. Nonetheless, we will additionally leverage it to uncover the story behind the info.
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Logistic regression is likely one of the easiest but only fashions for binary classification. Past prediction, we will receive the percentages ratios for every variable within the fitted logistic regression mannequin, which is invaluable for our understanding of the info.
On this article, as a continuation of the primary article within the deep dive into odds ratios collection, we’ll discover learn how to extract odds ratios from logistic regression. We’ll begin by deriving the connection between the mannequin and odds ratios. Then, we’ll study use circumstances the place the logistic regression method provides a number of benefits over the essential technique of calculating odds ratios, together with: calculating for categorical and numerical variables, dealing with a number of…