State University of New York at Stony Brook

Linear regression is used for prediction and logical regression is used for classification. Linear regression is to fit the function, and logical regression is to predict the function. Linear regression uses least square method to calculate parameters, and logical regression uses maximum likelihood estimation to calculate parameters. Linear regression is more susceptible to outliers, while logical regression has better stability to outliers.


Linear Regression vs Logistic Regression

https://towardsdatascience.com/introduction-to-logistic-regression-66248243c148

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