---
title: "Discussion on \"Handling Imbalanced Datasets: Applying SMOTE for MultiClass Classification\" | Hashnode"
description: "Discussion on \"Handling Imbalanced Datasets: Applying SMOTE for MultiClass Classification\". Handling imbalanced datasets, especially in multi-class classification problems, can be challenging. One popular technique for addressing this issue is the Synthetic Minority Over-sampling Technique (SMOTE). Here's an overview of how to apply SMOTE i..."
url: "https://hashnode.com/posts/handling-imbalanced-datasets-applying-smote-for-multiclass-classification/67ea6487f74bb71d6df05bd4"
---

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# [Handling Imbalanced Datasets: Applying SMOTE for MultiClass Classification](https://hashnotes.hashnode.dev/handling-imbalanced-datasets-applying-smote-for-multiclass-classification?utm_source=hashnode&utm_medium=feed)

Handling imbalanced datasets, especially in multi-class classification problems, can be challenging. One popular technique for addressing this issue is the Synthetic Minority Over-sampling Technique (SMOTE). Here's an overview of how to apply SMOTE i...

Mar 31, 2025 · 8 min read · hashnotes.hashnode.dev  
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-   [#imbalanced-classification](https://hashnode.com/tag/imbalanced-classification)
-   [#multiclass-classification](https://hashnode.com/tag/multiclass-classification)
-   [#smote-for-imbalance](https://hashnode.com/tag/smote-for-imbalance)

## Written by

[Mohamad Mahmood](https://hashnode.com/@mohamadrazzimy)

@mohamadrazzimy · Kuala Lumpur, Malaysia

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

Programming (Mobile, Web, Database and Machine Learning). Studying at the Center For Artificial Intelligence Technology (CAIT), FTSM, UKM MY

Mohamad's interest is in Programming (Mobile, Web, Database and Machine Learning). He is studying at the Center For Artificial Intelligence Technology (CAIT), Universiti Kebangsaan Malaysia (UKM).

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