5 Steps to Tackle Real-World Imbalanced Data
Author(s): Snehal Nair Originally published on Towards AI. Baseline Model without resampling Working with imbalanced data can be very challenging. Imbalanced data refers to data where classes do not have equal weight. Some examples of imbalanced datasets include fraud detection, churn prediction, …