xTremePlain: Supervised Learning-Based Pattern Recognition System (ML model for supervised learing) with explainability traits
xTremePlain is a ML Model based on the XGBoost (eXtreme Gradient Boosting) algorithm . XGBoost is used alongside SHAP (SHapley Additive exPlanations), a powerful and model-agnostic interpretability technique that is widely used in machine learning to explain the output of any model. SHAP acts as an Explainable Artificial Intelligence (XAI) tool that helps comply with the AI Act, in topics like transparency and accountability, while also enabling human oversight (by providing human reviewers with the rationale behind an AI’s output)