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M. C. Opara

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Open access Sep 2026

A Comparative Study of Feature Selection Techniques for Customer Churn Prediction

This paper investigates the effectiveness of feature selection techniques in optimizing supervised machine learning pipelines for customer churn prediction using the publicly available Customer Churn Dataset from Kaggle. Feature selection plays a crucial role in enhancing model interpretability and generalization by...

M. C. Opara · 0 citations

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