Meaning of Logistic Regression

Simple definition

Logistic regression is a statistical model used to predict binary outcomes (e.g., yes/no) based on input features, using a sigmoid function to map predictions to probabilities.

How to use Logistic Regression in a professional context

It’s commonly applied in fields like healthcare (predicting disease presence), marketing (customer churn), and finance (loan default prediction).

Concrete example of Logistic Regression

A bank uses logistic regression to determine whether a loan applicant is likely to default based on factors like income, credit score, and employment status.