Variable Importance

Variable Importance in Neural Networks

R-bloggers post on measuring variable importance in neural networks — techniques like the Garson algorithm and Olden's method for attributing prediction contributions to input features. An early attempt at neural network interpretability before SHAP, LIME, and modern explainability tools existed.