Deep Learning-Based Efficient Model Development for Phishing Detection Using Random Forest and BLSTM Classifiers

Table 4

Performance results of the proposed model.

Accuracy (%)	f1 score (%)	Precision (%)	True positive rate (%)	True negative rate (%)	False positive rate (%)	False negative rate (%)
95.47	95.67	95.60	95.37	95.54	4.46	4.63