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IEEE/ICACT20260118 Slide.14        [Big Slide]       [YouTube]	Oral Presentation
	We first established a baseline with individual models. Standalone Random Forest achieved 78.54% accuracy, while XGBoost achieved 72.91%. These results confirmed that while these models are useful, they struggle with the full complexity of modern malware on their own.

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