Research Article
PDRCNN: Precise Phishing Detection with Recurrent Convolutional Neural Networks
Table 10
Performance comparison with 9 URL features added.
| Method | Accuracy (%) | Precision (%) | Recall (%) | F-measure (%) | AUC (%) | Training time (s) | Test time (s) |
| PDRCNN | 95.6 | 97.33 | 93.78 | 95.52 | 98.96 | 4426.15 | 40.66 | PDRCNN and 9 artificial features | 95.48 | 97.39 | 93.46 | 95.39 | 98.92 | 4415.23 | 40.97 |
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