Abstract: This study investigates the relationship between the accuracy of Machine Learning (ML) models used to differentiate between Spam and Normal Messages for different dataset sizes. Efficiency ...

Abstract: Brain tumors are among the deadliest diseases, leading researchers to focus on improving the accuracy of tumor classification—a critical task for prompt diagnosis and effective treatment.

Traditional machine learning algorithms for classification tasks operate under the assumption of balanced class distributions. However, this assumption only holds in some practical scenarios. In most ...