Detecting web attacks using random undersampling and ensemble learners

Journal of Big Data

Table 9 Results for Logistic Regression

Sampling	AUC	SD AUC	AUPRC	SD AUPRC
None	0.5	0.0	0.00417	0.00069
999:1	0.5	0.0	0.00499	0.00101
99:1	0.56984	0.01155	0.00482	0.0009
95:5	0.56981	0.00937	0.00402	0.00073
9:1	0.59933	0.027	0.00341	0.00075
3:1	0.68762	0.01517	0.00271	0.0007
65:35	0.81354	0.02079	0.00178	0.0008
1:1	0.81707	0.0088	0.00133	0.00081

Sampling column reports negative to positive class ratio after applying random undersampling, or “None” for case when no undersampling is applied
AUC stands for Area Under the Receiver Operating Characteristic Curve, SD stands for standard deviation reported for every metric, AUPRC stands for Area under the Precision-Recall Curve