Approximate Inverse Model Explanations (AIME): Unveiling Local and Global Insights in Machine Learning Models

Data-driven decision-making has become pervasive in the fields of interpretive machine learning and Explainable AI (XAI). While both fields aim to improve human comprehension of machine learning models, they differ in focus. Interpretive machine learning centers on deciphering outcomes in transparen...

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