Article

Feature-Driven vs Language-Based AI Online Gambling Addiction Modeling: Exploring Interpretability Through XGBoost and LLM-Based RAG

2025-06-18

Abstract excerpt

The rise of online gambling has increased concern around identifying behavioral addiction in digital environments. Current predictive systems offer limited interpretability and justification for individual-level risk assessments as they often operate as black boxes. This study proposes a hybrid framework that combines a traditional machine learning model (XGBoost) with a language-based Retrieval-Augmented Generati...

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Literature Corpus work: 411cf417-dc98-5d8e-8909-19c769935e21
DOI: 10.20944/preprints202506.0883.v2

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