Logistic Regression is a machine learning algorithm used for binary classification problems.

Random Forest is an ensemble learning method that builds multiple decision trees and combines their predictions.

Biased Model is a custom-built system that introduces intentional bias in predictions.

Random Model is a custom-built system that produces random predictions.