O. Ogunnusi

Comparative Evaluation of Machine Learning Classifiers for SMS Spam Detection with Optimized Feature Extraction

It is demonstrated that lightweight probabilistic classifiers, when paired with effective feature engineering, can achieve near-perfect spam detection performance and offer a practical, interpretable foundation for real-world SMS filtering systems.