This service uses imbalanced-learn to rebalance a dataset based on a target class, it combines oversampling (SMOTE) and undersampling (ENN) to be more generalizable.
In order for the service to work your dataset label column must be called "target".
Finally, avoid having multiple empty lines at the end of the file.
Check the related documentation for more information.