8 Tactics to Combat Imbalanced Classes in Your Machine Learning Dataset

Has this happened to you? 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.