Logistic Regression

What is Logistic Regression?

Logistic regression is a statistical classification method that models the probability of a categorical outcome—binary or multinomial—using a logistic function of input features. It is widely used as a baseline classifier and for interpretable probability estimates in predictive modeling.

Validate classifiers before you scale them

Even simple classifiers need slice-aware evaluation for bias and error rates. Giskard helps structure those checks—see giskard.ai.

Further reading

Authoritative reference: scikit-learn LogisticRegression.