Abstract: Machine learning is often used in credit card fraud detection. Its ability to analyze large amounts of transaction data and identify patterns of fraudulent activity. The aim of this study is ...
The AI Fairness and Explainability Toolkit is an open-source platform designed to evaluate, visualize, and improve AI models with a focus on fairness, explainability, and ethical considerations.
Abstract: This study proposes a clinical visualization method for evaluating machine learning algorithms in early chronic kidney disease (CKD) detection. By integrating k-nearest neighbors (KNN), ...
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