Phishing Target Identification Based on Neural Networks Using Category Features and Images

Table 6

The performance results of our proposed models: E-DNN, 2D-CNN, and PTI-NN.

Models	Accuracy	Macro-F1 score	Weighted-F1 score
E-DNN	0.8918	0.7518	0.8773
2D-CNN	0.8813	0.7536	0.8733
PTI-NN	0.9110	0.7860	0.9050

The bold values represent the best values of the evaluation metrics.