Imbalanced Dataset

Introduction to the imbalanced dataset

In our dummy example with two data points, we had one of each class: positive and negative. The dataset was perfectly balanced. Let us create another dummy example with an imbalance, adding two extra data points belonging to the negative class. For the sake of simplicity and to illustrate a quirk in the behavior of BCEWithLogitsLoss, we will give those two extra points the same logits as the other data points in the negative class. It looks like this: