---
title: "Discussion on \"HANDLING IMBALANCED DATASETS - Tuning Classification Threshold\" | Hashnode"
description: "Discussion on \"HANDLING IMBALANCED DATASETS - Tuning Classification Threshold\". How to handle imbalanced classification problems."
url: "https://hashnode.com/posts/handling-imbalanced-datasets-tuning-classification-threshold/6328435a195e7dc741da5114"
---

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# [HANDLING IMBALANCED DATASETS - Tuning Classification Threshold](https://saheedniyi.hashnode.dev/handling-imbalanced-datasets-tuning-classification-threshold?utm_source=hashnode&utm_medium=feed)

How to handle imbalanced classification problems.

Sep 19, 2022 · 5 min read · saheedniyi.hashnode.dev  
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-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#classification](https://hashnode.com/tag/classification)
-   [#python](https://hashnode.com/tag/python)
-   [#deep-learning](https://hashnode.com/tag/deep-learning)
-   [#kaggle](https://hashnode.com/tag/kaggle)

## Written by

[Saheed Ayanniyi](https://hashnode.com/@saheedniyi)

@saheedniyi · Lagos, Nigeria

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

I am a machine learning engineer and software developer.

## Responses 2

Markdown supported · ⌘↵ to post

[Matthew Ajibola](https://hashnode.com/@Jibola)

[Sep 19, 2022](https://hashnode.com/posts/handling-imbalanced-datasets-tuning-classification-threshold/6328435a195e7dc741da5114/comment/63287c6099624fc71cd51fac)

Woah! Awesome approach. I usually just use over sampling.

[Samuel Bamgbola](https://hashnode.com/@Sammybams)

[Sep 19, 2022](https://hashnode.com/posts/handling-imbalanced-datasets-tuning-classification-threshold/6328435a195e7dc741da5114/comment/63284b1f99624fc71cd5168e)

Thanks for sharing