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Beyond the Black Box: Do More Complex Models Provide Superior XAI Explanations?
The increasing complexity of Artificial Intelligence models poses challenges to interpretability, particularly in the healthcare sector.
Enabling Machine Learning Algorithms for Credit Scoring -- Explainable Artificial Intelligence (XAI) methods for clear understanding complex predictive models
What is even more important and valuable we also show how to boost advanced models using techniques which allow to interpret them and made them more accessible for credit risk practitioners, resolving the crucial obstacle in widespread deployment of more complex, 'black box' models like random forests, gradient boosted or extreme gradient boosted trees.
Explainable artificial intelligence
Explainable Artificial Intelligence (XAI)
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