| SPAMASSASSIN SPAM | NHP Context-Free Data Aug. | Accuracy98.91 | | 42 | 1mo ago |
| Twitter Spam dataset (test) | | Clean Accuracy94.6 | | 26 | 1mo ago |
| Spam Detection dataset | CompFreeze-based SecureBERT | F1 Score0.98 | | 14 | 1mo ago |
| Lingspam | | CACC99.83 | | 10 | 1mo ago |
| Twitter Spam Detection 1000 spammers (test) | NU-δ-MDt | Margin2.41 | | 10 | 1mo ago |
| Twitter Spam Detection (test) | NU-δ-MDt | Certification S.R.90.11 | | 10 | 1mo ago |
| Spam Detection | ObliInjection | ASR100 | | 8 | 1mo ago |
| Reconstructed Embedding Space Spam (100 sampled sentences per label) | Label Forensics | Accuracy99 | | 3 | 1mo ago |
| YouTube spam detection dataset (train) | Alfred | Top-1 Accuracy65.3 | | 3 | 1mo ago |
| Spam Base and Spam Filter Data Kaggle | | Accuracy98.67 | | 2 | 9d ago |
| SpamAssassin 1000 spam 5051 ham | | Accuracy99.3 | | 1 | 9d ago |
| SpamAssassin Nazario 3-class | | Accuracy98.4 | | 1 | 9d ago |
| Enron 17171 spam, 16545 ham | | Accuracy95.8 | | 1 | 9d ago |
| Ling, Enron, PUA, SpamAssassin | | Accuracy99.21 | | 1 | 9d ago |
| SpamAssassin, Enron, Nazario (SA-JN and En-JN) | Recurrent Neural Network (RNN) | Accuracy98.91 | | 1 | 9d ago |
| Enron 3100 spam 3100 ham | | Accuracy95.5 | | 1 | 9d ago |
| CLAIR collection of fraud email | | Accuracy98.2 | | 1 | 9d ago |
