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Table 20 Summary of t-test verification test

From: Optimizing IoT intrusion detection system: feature selection versus feature extraction in machine learning

No.

Data

T-statistic

P-values

Significant

1

Accuracy of binary and multiclassification using FE between 9, 22 and 33, 47 features respectively

− 9.3139

0.0026

*

2

Accuracy of binary and multiclassification using FS between 33, 47 and 9, 22 features respectively

− 7.0103

0.0006

*

3

Feature reduction time between FS and FE for each feature scheme

3.5833

0.0372

*

4

Model training time between FS and FE for each feature scheme

− 2.2707

0.0324

*

5

Model inference time between FS and FE for each feature scheme (except for kNN model)

− 3.4921

0.0251

*

6

DT runtime (including the run time of both model building and inference) compared to other models for both FS and FE

− 3.6216

0.0152

*