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When should logistic regression be used instead of linear regression?

A When the target is categorical, typically binary
B When the data is non-linear
C When there are many predictors
D When the sample is small

Answer

When the target is categorical, typically binary

Logistic regression models the log odds, producing probabilities bounded between zero and one.

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