Loyalty-SMOTE: Data synthesis algorithm for effective imbalanced data classification

Key Points

• Loyalty-SMOTE enhances classification accuracy for imbalanced datasets, improving performance metrics by 30%.
• The algorithm's efficacy is demonstrated using standard datasets in machine learning, confirming its reliability.
• Assessment utilized various performance metrics including precision and recall to evaluate model output across datasets.
• The findings suggest a potential reduction in bias for classifiers when applied to imbalanced data scenarios.