A Rebalancing Framework for Classification of Imbalanced Medical Appointment No-show Data

Abstract

This paper aims to improve the classification performance when the data is imbalanced by applying different sampling techniques available in Machine Learning.

Keywords

• imbalanced data
• sampling methods
• machine learning
• classification