Class imbalance occurs in datasets when some classes or categories are significantly more frequent than others. It can lead to biased machine learning models that perform poorly on underrepresented classes.
The main challenges and limitations of machine learning for malware detection include issues with class imbalance, adversarial attacks, explainability, and…