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Used (1) for discrete classification (if an instance's predicted probability exceeds a threshold, classify as TRUE, otherwise FALSE), or (2) for discretizing/binning continuous data. *If you are tempted to use this tag, PLEASE read the tag wiki!*

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2 answers
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How can I convert the result of a logistic regression into a set of classes?

I have a logistic regression $\text{logit} ( p_i ) = \beta_0 + \sum_j \beta_j x_{ij}$ with a binary response variable that I'd like to form a kind of scorecard from. By creating a scorecard I simply m …
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