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Types of Logistic Regression Explained by jdaudpoto is a document available to read on EtoBox.

There are three types of logistic regression: binary for pass/fail predictions, multiclass for multiple categories like animals, and ordinal for ordered levels like low to high. Logistic regression uses a linear equation with predictors to predict a value between negative and positive infinity, but that value needs to represent a class variable of 0 or 1, so it is squashed into a range of 0 to 1 using the sigmoid function.

Author
jdaudpoto
Language
EN