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georgedouzas committed Nov 23, 2023
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# description: "Extending SMOTE's data generation mechanism."
# author: "Georgios Douzas"
# date: "2022-05-01"
# categories: [Machine Learning, Open Source, Imbalanced Data]
# categories: [Machine Learning, Publication, Imbalanced Data]
# image: "featured.png"
# jupyter: python3
# ---
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The [SMOTE](https://arxiv.org/pdf/1106.1813.pdf) algorithm is the most popular oversampler, with many proposed variants. On the
other hand, [Geometric SMOTE](https://www.sciencedirect.com/science/article/abs/pii/S0020025519305353) is not another member of
the SMOTE's family since it expands the data generation area and does not use linear interpolation for new samples. You can check
the following figure for a visual representation of the their difference:
the SMOTE's family since it expands the data generation area and does not just use linear interpolation of existing samples to
generate for new samples. You can check the following figure for a visual representation of the their difference:
![](smote_vs_gsmote.png)
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