PDRCNN: Precise Phishing Detection with Recurrent Convolutional Neural Networks

Table 7

Results of the 10-fold cross-validation.

Fold	Accuracy (%)	Precision (%)	Recall (%)	F-measure (%)	AUC (%)
1	95.86	97.15	94.49	95.8	99.09
2	95.93	97.41	94.38	95.87	99.04
3	95.69	96.53	94.78	95.65	98.99
4	96.01	97.26	94.7	95.96	99.07
5	95.62	97.36	93.78	95.54	98.99
6	95.81	97.03	94.52	95.76	98.99
7	95.86	97.12	94.54	95.81	99.06
8	95.64	97.48	93.7	95.55	98.98
9	95.83	98.07	93.51	95.74	99.1
10	95.69	97.29	94.01	95.62	98.97
Average	95.79	97.27	94.24	95.73	99.03