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COVAS: Highlighting the Importance of Outliers in Classification Through Explainable AI

Understanding the decision-making behavior of machine learning models is essential in domains where individual predictions matter, such as medical diagnosis or sports analytics. While explainable artificial intelligence (XAI) methods such as SHAP provide instance-level feature attributions, they mai...

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Uloženo v:
Hlavní autoři: Sebastian Roth, Adrien Cerrito, Samuel Orth, Ulrich Hartmann, Daniel Friemert
Médium: Artigo
Jazyk:Inglês
Vydáno: MDPI AG 2026-01-01
Edice:Machine Learning and Knowledge Extraction
Témata:
explainable artificial intelligence (XAI)
SHAP values
outlier detection
model interpretability
machine learning classification
instance-level analysis
On-line přístup:https://www.mdpi.com/2504-4990/8/1/24
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