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IEEE/ICACT20250023 Slide.13        [Big Slide]       [YouTube]	Oral Presentation
	After analysis, we observed that One-Class SVM detected ninety-four anomalies, demonstrating good generalization ability. However, it suffers from low precision and is more effective in scenarios where only normal data is available for training.

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