A Stacking Ensemble for Network Intrusion Detection Using Heterogeneous Datasets

Table 5

Training results obtained by 10-fold cross validation.

Folds	Training accuracy	Training recall	Training precision
1	0.9291	0.9138	0.9499
2	0.9312	0.9134	0.9516
3	0.9248	0.9092	0.9471
4	0.9286	0.9095	0.9496
5	0.93	0.9112	0.9526
6	0.9327	0.9132	0.9473
7	0.9427	0.9037	0.9475
8	0.9266	0.9094	0.9522
9	0.9285	0.9134	0.9484
10	0.9251	0.9108	0.9510
	MTA: 0.9285	MTR:0.9115	MTP: 0.9497