Meaningful Data Sampling for a Faithful Local Explanation Method
-
Updated
Jun 17, 2024 - Python
Meaningful Data Sampling for a Faithful Local Explanation Method
EXPLAN: Explaining Black-box Classifiers using Adaptive Neighborhood Generation
Signal Processing, PID, ARMA in MATLAB and Simulink.
🪐 7- Social Buss: A black box model is an AI or machine learning system whose internal decision-making processes are hidden, providing only inputs and outputs without revealing how outcomes are derived. These models offer high accuracy for complex tasks but pose challenges for interpretability and trust.
Add a description, image, and links to the blackbox-models topic page so that developers can more easily learn about it.
To associate your repository with the blackbox-models topic, visit your repo's landing page and select "manage topics."