Interpretable Models
Inherently interpretable models with transparent decision processes.
Chapter 4: Linear and Logistic Regression Linear regression, logistic regression, and their interpretability [Coefficients, odds ratios, feature weights] Chapter 5: Generalized Models Generalized Linear Models (GLM), Generalized Additive Models (GAM) [Link functions, spline-based modeling, interpretability trade-offs] Chapter 6: Decision Trees and Rules Decision trees, decision rules, RuleFit [Tree pruning, rule extraction, feature importance]