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This table shows the confusion matrix and performance metrics of the model trained with CIC-IDS2017 dataset. It can be found that the values of Precision and Recall are close to 1 regardless of the predicted category. For the category T1219, which has the least data among all categories, the Precision and Recall are 97.97% and 98.81% respectively. The confusion matrix indicates that the model for detecting hacker attacks which is trained with network flow data has good performance in identifying T1110, T1499, T1046, and T1219.
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IEEE/ICACT20220024 Slide.09
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