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

Table 5

Evaluation of LightGBM on the dynamic feature dataset with various classifiers.

Classifier	Accuracy (%)	Precision (%)	Sensitivity (%)	F-measure (%)
DT	82.66	84.66	83.66	83.64
LR	83.70	84.08	83.89	83.91
XGBoost	84.25	78.97	81.54	79.92
LightGBM	85.37	85.15	84.56	85.81