Mini toolsDefinition
A classification algorithm that predicts the probability of binary outcomes using a logistic function.
Detailed Explanation
Logistic regression applies a logistic transformation to linear regression, constraining outputs between 0 and 1. It uses maximum likelihood estimation for parameter optimization and can handle multiple predictors. The algorithm provides interpretable odds ratios and models the relationship between independent variables and a binary dependent variable using the logistic function.
Use Cases
Credit scoring disease diagnosis fraud detection marketing response prediction customer churn analysis.
