Explainable AI in Credit Risk Assessment

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Explore the integration of Explainable AI (XAI) into credit assessment, focusing on challenges, regulatory compliance, and fairness in machine learning models. Discover the applicability of tree-based models, their mechanisms, and suitability for financial datasets. Gain insights into evaluating risk models using robust metrics for imbalanced data and optimization techniques. Lastly, understand the role of SHAP for local and global explanations, feature importance, and efficient computations,...