Combination of over- and under-sampling

SMOTEENN/SMOTETomek

Common

Input Data

	Inputs
*Target Data	Data input
*Sampler	Name of the user-defined sampler module
*Predict Output	Name of the re-sampled data
*x (numeric)	Columns (features) to be re-sampled by the sampler, with respect to their labels y. One or more columns should be selected
*y	Column containing labels of the features x. Only one column should be selected

[Task information of SMOTEENN]

Python Package

SMOTEENN: https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.combine.SMOTEENN.html

SMOTETomek: https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.combine.SMOTETomek.html