Why Don't We Call It Logistic Classification Instead?

Have you ever wondered why logistic regression is called "regression" when we only use it for classification tasks? Why not call it "logistic classification" instead? Here's why.

Most of us interpret logistic regression as a classification algorithm. However, it is a regression algorithm by nature. This is because it predicts a continuous outcome, which is the probability of a class.

It is only when we apply those thresholds and change the interpretation of its output that the whole pipeline becomes a classifier.

Yet, intrinsically, it is never the algorithm performing the classification. The algorithm always adheres to regression. Instead, it is that extra step of applying probability thresholds that classifies a sample.

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