Predicting User Susceptibility to Phishing Based on Multidimensional Features

Table 2

Scores for each learning algorithm metric.

	Accuracy (%)	Precision (%)	Recall (%)	F1-score (%)
LR	77.52	80.55	77.12	78.80
DT	83.28	82.17	88.29	85.12
SVM	72.62	73.60	77.12	75.32
RF	84.14	83.75	87.76	85.71
GBDT	89.04	87.87	92.55	90.15
XGBoost	88.46	88.54	90.42	89.47
AdaBoost	88.47	87.75	91.48	89.58

Bold values represent the best performing values among all the modeled properties.