Table 7 Ablation study on pipeline components.

From: Elevating intrusion detection and security fortification in intelligent networks through cutting-edge machine learning paradigms

Configuration

Accuracy

F1-score

Precision

Recall

FPR

Base learners only

0.9498

0.9497

0.9482

0.9513

0.0446

+ Noise injection

0.9614

0.9603

0.9587

0.9621

0.0349

+ PCA

0.9702

0.9691

0.9675

0.9708

0.0273

+ Stacked ensemble (Full)

0.9802 ± (0.0014)

0.9786 ± (0.0015)

0.9774 ± (0.0013)

0.9798 ± (0.0015)

0.0196 ± (0.0009)

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