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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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Hoofdauteurs: Railey Shahril Abdullah, Nur Shaheera Shastera Nulizairos, Nor Hapiza Mohd Ariffin, Deden Witarsyah, Ruhaila Maskat
Formaat: Artigo
Taal:Inglês
Gepubliceerd in: Society of Visual Informatics 2024-11-01
Reeks:JOIV: International Journal on Informatics Visualization
Onderwerpen:
explainable artificial intelligence (xai)
predictive analytics
upselling response
shapley additive explanations (shap)
local interpretable model-agnostic explanations (lime)
Online toegang:https://joiv.org/index.php/joiv/article/view/2823
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