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IEEE/ICACT20220050 Slide.05        [Big Slide]       [YouTube]	Oral Presentation
	We have investigated the impact that imbalanced datasets can have on the performance of models produced by ​classification algorithms. we make the following contributions: The sensitivity status of eleven classification algorithms for the detection of android malware Applications with an imbalanced dataset. The analysis of the most suitable evaluation metrics for imbalanced dataset

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