Anomaly Detection Collaborating Adaptive CEEMDAN Feature Exploitation with Intelligent Optimizing Classification for IIoT Sparse Data

Table 3

Training and test classification accuracies of traditional ABC-OCSVM and PSO-OCSVM anomaly detection classifiers.

Attack power	ABC-OCSVM		PSO-OCSVM
	Training accuracy	Test accuracy	Training accuracy	Test accuracy
1	96.0%	86.5%	98.0%	80.5%
2	93.5%	88.0%	96.5%	83.0%
3	91.0%	90.0%	98.0%	85.0%
4	96.5%	87.0%	100.0%	84.0%
5	98.5%	93.5%	98.0%	83.5%
Average	95.10%	89.00%	98.00%	83.20%