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Intrusion Detection on CICIDS 2017 (Accuracy, Precision, Recall, F1)

99.97Accuracy

RF

Updated 25d ago

Evaluation Results

Method	Links
RF 2026.06		99.97	-	-	-
Basnet et al. 2026.06		99.95	100	99.8	99.8
KAN-LSTM 2026.03		99.28	99.06	99.3	99.66
Deep Learning 2026.03		98.77	98.77	98.77	98.76
ConvKAN 2026.03		98.55	91.48	99.69	95.41
MLP 2026.03		98.43	77.03	77.07	77.04
KANs 2026.03		98.2	77.03	77.07	77.04
KANs 2026.03		97.69	77.03	76.78	76.89
MLP 2026.03		97.61	77.03	78.1	77.55
1D-CNN 2026.06		97.1	-	-	-
LSTM 2026.03		86.05	86.323	85.68	85.47
CNN 2026.03		82.75	82.75	40.5	43.89
CNN-LSTM 2026.06		-	-	-	97.8
MDE-IDS (LGB) 2026.06		-	-	-	99.89