Predicting and Explaining Customer Response to Upselling in Telecommunications: A Malaysian Case Study

This research explores the predictive capabilities of XGBoost (XGB) and Random Forest (RF) models for customer upsell responses, emphasizing the use of Explainable Artificial Intelligence (XAI) techniques to gain insights. Initially trained without hyperparameter tuning, both models were later optim...

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Egile Nagusiak:	Railey Shahril Abdullah, Nur Shaheera Shastera Nulizairos, Nor Hapiza Mohd Ariffin, Deden Witarsyah, Ruhaila Maskat
Formatua:	Artigo
Hizkuntza:	Inglês
Argitaratua:	Society of Visual Informatics 2024-11-01
Saila:	JOIV: International Journal on Informatics Visualization
Gaiak:	explainable artificial intelligence (xai) predictive analytics upselling response shapley additive explanations (shap) local interpretable model-agnostic explanations (lime)
Sarrera elektronikoa:	https://joiv.org/index.php/joiv/article/view/2823
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