We want users to be able to specify a type of balanced sampling. So for specifying test and train set, we would have the same ratio of positive and negative cases (for binary classification).

Potential candidates for oversampling:

• - Random oversampling
• - Synthetic Minority Oversampling (SMOTE)
• - Adaptive Synthetic (ADASYN)