Table 10.

Comparison of models based on respective evaluation metrics for CIC Bell DNS 2021.

Model	Accuracy	Precision	Recall	F1	ROC-AUC Score	Training Loss	Validation Loss	Testing Loss
ImmuneNet	99.19	99.22	99.19	99.20	99.199	0.0124	0.0143	0.00141
XGB	99.10	98.89	99.10	98.99	99.01	0.0235	0.0228	0.0226
Random forest	98.21	95.60	98.17	96.86	96.25	0.0789	0.0631	0.0655
Decision trees	97.66	95.41	98.78	97.06	96.30	0.0808	0.0748	0.0752
Logistic regression	92.87	89.93	92.60	91.24	90.10	0.3356	0.3579	0.3467