Oct 11, 2022 · Artificial Intelligence

Unlocking Interpretable Machine Learning: From Linear Regression to EBM

This article surveys intrinsic interpretable machine‑learning models—from classic regression, additive models, and decision trees to modern approaches like Explainable Boosting Machines, GAMINet, RuleFit, and Falling Rule Lists—explaining their principles, parameter estimation, interpretability, advantages, and limitations.

generalized linear modelinterpretable machine learninglinear regression

0 likes · 12 min read

Unlocking Interpretable Machine Learning: From Linear Regression to EBM

Model Perspective

Sep 6, 2022 · Fundamentals

How Link Functions Extend Linear Regression to Generalized Models

This article explains how the traditional linear regression assumption can be relaxed by using link functions to transform nonlinear outputs into linear responses, enabling more flexible generalized linear models for probabilities and count data.

Modelinggeneralized linear modellink function

0 likes · 1 min read

How Link Functions Extend Linear Regression to Generalized Models