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Multiple Logistic Regression Algorithm In Machine Learning

This article describes the Multiple Logistic Regression Algorithm in Machine Learning.

What Is The Multiple Logistic Regression Algorithm?

In the Multiple Logistic Regression Algorithm, we have: -

Multiple independent variables are used to predict the outcome.
The dependent variable is 0/1.

Formula

The formula for calculating the Multiple Logistic Regression Algorithm is: -

Picture showing the forumula of calculating the multiple regression

In the above formula.

Variable	Description
Y	Dependent variable
X1, X2…Xn	Independent variables
β₀	Intercept
β1,β2,...βn	Coefficients showing how strongly each variable influences the outcome

Real-World Example

Suppose you want to predict whether the person has diabetes or not (yes/no). The independent variables are: -

Age
BMI
Blood Pressure
Family History

In the above example, we have one dependent variable with two possible values, i.e., yes and no. The number of independent variables is four. This is an example of a Multiple Logistic Regression Algorithm.

Posted By -	Karan Gupta

Posted On -	Sunday, September 7, 2025

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