Integrating XAI for Anomaly Interpretation

implementationChallengeNovember 25, 2025

Prompt Content

Once your anomaly detection model is functional, integrate an Explainable AI (XAI) technique (e.g., SHAP or LIME) to interpret the model's decisions for detected anomalies. This XAI output should highlight which specific sensor readings or features contributed most significantly to the anomaly score. Your goal is to generate structured insights that can be fed into a Large Language Model for human-readable explanations.

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