Explainable AI

LIME (Local Interpretable Model-agnostic Explanations) is an AI system that explains the predictions of machine learning models in a human-interpretable way. It generates local explanations for individual predictions, helping users understand how the model arrived at its decision.

SHAP (SHapley Additive exPlanations) is an AI system that explains the output of machine learning models by attributing the prediction to different input features. It provides insights into how each feature contributes to the model's decision-making process.