Under-Sampling

CondensedNearestNeighbour/EditedNearestNeighbours/Rep. EditedNearestNeighbours/ AllKNN/InstanceHardnessThreshold/NearMiss/NeighbourhoodCleaningRule/OneSidedSelection/ RandomUnderSampler/TomekLinks

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	Columns (features) to be re-sampled by the sampler, with respect to their labels y. Data type: RamdomUnderSampler: all data type. else: numeric. One or more columns should be selected.
*y	Column containing labels of the features x. Only one column should be selected.

[Task information of TomekLinks]

Python Package

CondensedNearestNeighbour: https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.under_sampling.CondensedNearestNeighbour.html#

EditedNearestNeighbours: https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.under_sampling.EditedNearestNeighbours.html

Rep. EditedNearestNeighbours: https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.under_sampling.RepeatedEditedNearestNeighbours.html

AllKNN: https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.under_sampling.AllKNN.html

InstanceHardnessThreshold: https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.under_sampling.InstanceHardnessThreshold.html

NearMiss: https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.under_sampling.NearMiss.html

NeighbourhoodCleaningRule: https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.under_sampling.NeighbourhoodCleaningRule.html

OneSidedSelection: https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.under_sampling.OneSidedSelection.html

RandomUnderSampler: https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.under_sampling.RandomUnderSampler.html

TomekLinks: https://imbalanced-learn.readthedocs.io/en/stable/generated/imblearn.under_sampling.TomekLinks.html