Over And Under Sampling

Sometimes if we want to compare two datasets, or classify datasets that have an uneven number of samples for different sides or types. Just by taking fewer samples (undersampling), one can even out a dataset.

Oversampling is a way to copy datasets to have the same number of examples as the other class. The copies are produced maintaining the distribution ratio.