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Within logistic regression, this is the most commonly used approach, and more generally, it is one of the most common classifiers for binary classification. Multinomial logistic regression: In this type of logistic regression model, the dependent variable has three or more possible outcomes; however, these values have no specified order. For. The formula of Logistic Regression equals Linear regression being applied a Sigmoid function on. Logistic Regression is for regression while Linear Regression is for classification. Logistic Regression is Linear Regression for classification: positive outputs are marked as 1 while negative output are marked as 0.

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