Research Article
Prediction of Phishing Susceptibility Based on a Combination of Static and Dynamic Features
Table 6
Evaluation of LSTM-LightGBM on the feature dataset with various classifiers.
| Classifier | Accuracy (%) | Precision (%) | Sensitivity (%) | F-measure (%) |
| LSTM | 89.71 | 89.49 | 88.90 | 90.15 | LightGBM | 85.37 | 85.15 | 84.56 | 85.81 | LSTM-LightGBM | 92.34 | 91.26 | 92.29 | 92.26 |
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