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| Format: | Recurso digital |
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Zenodo
2026
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| Online Access: | https://doi.org/10.5281/zenodo.19698281 |
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Table of Contents:
- <h2>First Release</h2> <p>This release includes the complete implementation of SMS spam detection using PSO-based feature selection with Naive Bayes and Logistic Regression classifiers.</p> <h3>Results</h3> <ul> <li>NB After PSO: Accuracy 97.04% | F1 89.04% | Features: 723 (51.8% reduction)</li> <li>LR After PSO: Accuracy 97.49% | F1 90.73% | Features: 762 (49.2% reduction)</li> </ul> <h3>Contents</h3> <ul> <li>Full implementation notebook</li> <li>Dataset: SMS Spam Collection (UCI)</li> </ul>