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

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

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