This project explores the issue of customer churn in the advertising industry, particularly focusing on the challenges of dealing with imbalanced data. The analysis includes Logistic Regression as the ...

Class imbalance is a common challenge in machine learning, where the minority class is underrepresented and often harder to learn accurately. Traditional oversampling methods such as SMOTE can improve ...

ABSTRACT: In this study, a hybrid machine learning (HML)-based approach, incorporating Genetic data analysis (GDA), is proposed to accurately identify the presence of adenomatous colorectal polyps ...