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Multiclass Classification on NSL-KDD Augmented with CTGAN data
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0.9993
Accuracy
Proposed IDS Framework
0.950316
0.963033
0.97575
0.988467
Dec 11, 2025
Accuracy
Log Loss
F1 Score
Updated 1mo ago
Evaluation Results
Method
Method
Links
Accuracy
Log Loss
F1 Score
Proposed IDS Framework
2025.12
0.9993
0.0049
0.997
Gradient Boosting Machine (GBM)
2025.12
0.9878
0.1532
0.996
Random Forest
2025.12
0.982
0.0073
0.992
K Nearest Neighbor (KNN)
2025.12
0.965
0.0092
0.997
Multi-Layer Perceptron
2025.12
0.9522
1.0056
0.994
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