Description
Skewed datasets are not uncommon. And they are tough to handle. Usual classification models and techniques often fail miserably when presented with such a problem. We discuss right from the basics of what class imbalance means to how we can overcome it, using various algorithms and some subtle techniques. We discuss details of evaluating our efforts and some small but crucial things that are vital