8 Tactics to Combat Imbalanced Classes in Your Machine Learning Dataset - Machine Learning Mastery

You are working on your dataset. You create a classification model and get 90% accuracy immediately. You dive a little deeper and discover that 90% of the data belongs to one class. This is an example of an imbalanced dataset and the frustrating results it can cause. In this post you will discover the tactics that you can use to deliver great results on machine learning datasets with imbalanced data.