Saved in:
| Main Author: | |
|---|---|
| Format: | Recurso digital |
| Language: | |
| Published: |
Zenodo
2026
|
| Online Access: | https://doi.org/10.5281/zenodo.19698281 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1866901730549039104 |
|---|---|
| author | Majed Molhi |
| author_facet | Majed Molhi |
| 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> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19698281 |
| institution | Zenodo |
| language | |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | majedmolhi/SMS-Spam-Detection-PSO: SMS Spam Detection Using PSO-Based Feature Selection v1.0.0 Majed Molhi <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> |
| title | majedmolhi/SMS-Spam-Detection-PSO: SMS Spam Detection Using PSO-Based Feature Selection v1.0.0 |
| url | https://doi.org/10.5281/zenodo.19698281 |