Enhancing Going Concern Prediction With Anchor Explainable AI and Attention-Weighted XGBoost

Enhancing Going Concern Prediction With Anchor Explainable AI and Attention-Weighted XGBoost

In the rapidly evolving sector of financial analytics, predicting a firm’s going concern status accurately is vital for informed user decisions. This study introduces a novel method that synergizes Anchor Explainable Artificial Intelligence (XAI) with an Attention-Weighted Extreme Gradien...

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Bibliographic Details
Main Authors: Putthiporn Thanathamathee, Siriporn Sawangarreerak, Dinna Nina Mohd Nizam
Format: Article
Language:English
Published: IEEE 2024-01-01
Series:IEEE Access
Subjects:
Going concern prediction
attention-weighted XGBoost
explainable AI
anchors explanations
Online Access:https://ieeexplore.ieee.org/document/10530315/

Internet

https://ieeexplore.ieee.org/document/10530315/

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