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.
After we construct a statistical mannequin, we regularly focus extra on its predictive worth. Nevertheless, we will additionally leverage it to uncover the story behind the information.
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Logistic regression is among the easiest but only fashions for binary classification. Past prediction, we will get hold of the percentages ratios for every variable within the fitted logistic regression mannequin, which is invaluable for our understanding of the information.
On this article, as a continuation of the primary article within the deep dive into odds ratios sequence, we are going to discover learn how to extract odds ratios from logistic regression. We are going to begin by deriving the connection between the mannequin and odds ratios. Then, we are going to look at use circumstances the place the logistic regression method affords a number of benefits over the fundamental methodology of calculating odds ratios, together with: calculating for categorical and numerical variables, dealing with a number of…