AUC results for low p/n data. Low p/n results for prediction accuracy using AUC as the performance metric for non-cross-validation results, 10-fold cross-validation and stratified 10-fold cross-valida
The NSL-KDD dataset is an enhanced version of the widely used KDD’99 dataset, developed to benchmark intrusion detection systems. It addresses several inherent flaws in the original KDD’99, suc
Class-specific producer’s accuracies (PA), user’s accuracies (UA), and overall accuracies (OA) (%) for the different classifiers (Manas, training sample number = 4,000).
This Dataset was generated through the implementation of a straightforward network design, featuring a Cisco 2901 router, a Cisco 3560 switch, and four Windows systems. Within the network, three Linux
