Multi-Class Imbalanced Classification - AnalyticsWeek

Imbalanced classification are those prediction tasks where the distribution of examples across class labels is not equal. Most imbalanced classification examples focus on binary classification tasks, yet many of the tools and techniques for imbalanced classification also directly support multi-class classification problems. In this tutorial, you will discover how to use the tools of imbalanced classification with a multi-class dataset. Multi-Class Imbalanced Classification Photo by istolethetv, some rights reserved. In this tutorial, we will focus on the standard imbalanced multi-class classification problem referred to as "Glass Identification" or simply "glass."