SMOTE node

The Synthetic Minority Over-sampling Technique (SMOTE) node provides an over-sampling algorithm to deal with imbalanced data sets. It provides an advanced method for balancing data. The SMOTE node in Cloud Pak for Data is implemented in Python and requires the imbalanced-learn© Python library.

For details about the imbalanced-learn library, see imbalanced-learn documentation¹.

The Modeling tab on the nodes palette contains the SMOTE node and other Python nodes.

¹Lemaître, Nogueira, Aridas. "Imbalanced-learn: A Python Toolbox to Tackle the Curse of Imbalanced Datasets in Machine Learning." Journal of Machine Learning Research, vol. 18, no. 17, 2017, pp. 1-5. (http://jmlr.org/papers/v18/16-365.html)