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. “Fantastic” you think. You dive a little deeper and discover that 90% of the data belongs to one class. Damn! This is an example of an imbalanced dataset and the frustrating results it can … Continue reading 8 Tactics to Combat Imbalanced Classes in Your Machine Learning Dataset