Prediction of Phishing Susceptibility Based on a Combination of Static and Dynamic Features

Table 4

Evaluation of LSTM on special static datasets with various classifiers.

Classifier	Accuracy (%)	Precision (%)	Sensitivity (%)	F-measure (%)
RF	87.00	89.00	88.00	87.98
SVM	88.04	88.42	88.23	88.25
KNN	88.59	83.31	85.88	84.26
LSTM	89.71	89.49	88.90	90.15