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Author

Benjamin Chiemeka Opara

2 papers indexed here

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Open access Sep 2026

Explainable AI Dimensionality Reduction Techniques Based for Client Attrition Prediction

Three dimensionality reduction techniques are employed to combine 10 machine learning classifiers including SVM, KNN, logistic regression, etc., to conduct research on the prediction of credit card customer churn to provide practical insights for financial institutions aiming to deploy efficient customer retention mod...

Benjamin Chiemeka Opara · 0 citations
Open access Sep 2026

Machine Learning–Based Customer Churn Prediction in Banking Using Feature Selection and Ensemble Models

This research has proposed a novel Hilbert-Schmidt Independence Criterion (HSIC) amidst other techniques for the selection of the intricate features for a robust predictive performance, allowing banks to better personalize service approaches to keep clients.

Benjamin Chiemeka Opara · 0 citations

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