Table 7 The results of the proposed model with LSTM and LSTM with multi-attention features.
From: A hybrid super learner ensemble for phishing detection on mobile devices
Metrics | LSTM | LSTM with multi-attention |
|---|---|---|
Recall (%) | 96.62 | 96.05 |
TNR (%) | 96.39 | 97.19 |
Precision (%) | 95.20 | 96.18 |
F1-Score (%) | 95.91 | 96.12 |
Accuracy (%) | 96.49 | 96.71 |
