SMOTE: Synthetic Minority Over-sampling Technique¶

N. V Chawla, K. W. B., Hall, L. O., & Kegelmeyer, W. P. (2002). SMOTE: Synthetic Minority Over-sampling Technique.

Type: Unclassified
Intellectual base: Unclassified
Year: 2002
DOI: 10.1613/jair.953
Link: https://doi.org/10.1613/jair.953

Cited by¶

1 citation across 1 artifact.

Domain-specific¶

Oversampling and undersampling in data analysis
- … resampling unit, oversampling or undersampling algorithm, synthetic-data assumptions, split order, weights, leakage controls, evaluation prevalence and calibration correction are explicit. to An applied instance preserves the same invariant under a changed scale, notation, jurisdiction, dataset, or implementation..

Verification¶

This reference passed the adversarial substantiation pipeline: it was checked to exist and to support the claim it is attached to. See how references were verified.

Registry ID ref:7d7730327525 · see in the full table