---
title: "Discussion on \"Handling Class Imbalance: Downsampling, SMOTE, and Beyond\" | Hashnode"
description: "Discussion on \"Handling Class Imbalance: Downsampling, SMOTE, and Beyond\". Compare five strategies for imbalanced classification: random downsampling, upsampling, SMOTE, and class weights. Evaluate with precision-recall curves and F1, not just accuracy."
url: "https://hashnode.com/posts/handling-class-imbalance-downsampling-smote-and-beyond/6a4a4b6560ef028b52111076"
---

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# [Handling Class Imbalance: Downsampling, SMOTE, and Beyond](https://sesenai.hashnode.dev/handling-class-imbalance-downsampling-smote-and-beyond?utm_source=hashnode&utm_medium=feed)

Compare five strategies for imbalanced classification: random downsampling, upsampling, SMOTE, and class weights. Evaluate with precision-recall curves and F1, not just accuracy.

Jul 5 · 13 min read · sesenai.hashnode.dev  
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-   [#supervised-learning](https://hashnode.com/tag/supervised-learning)
-   [#discriminative](https://hashnode.com/tag/discriminative)

## Written by

[Berkan Sesen](https://hashnode.com/@berkansesen)

@berkansesen · London, UK

  
[View profile](https://hashnode.com/@berkansesen)

I think about AI. A lot.

I think about AI. A lot.

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