Detecting web attacks using random undersampling and ensemble learners

Journal of Big Data

Table 13 Results for decision tree

Sampling	AUC	SD AUC	AUPRC	SD AUPRC
None	0.64708	0.01525	0.39216	0.03371
999:1	0.66721	0.02272	0.34765	0.03572
99:1	0.74832	0.0205	0.26034	0.03611
95:5	0.76497	0.02007	0.19095	0.09203
9:1	0.79877	0.01877	0.2394	0.06643
3:1	0.93562	0.00458	0.28988	0.03425
65:35	0.92418	0.01147	0.2019	0.08249
1:1	0.9235	0.01043	0.11302	0.12839

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