---
title: "Discussion on \"The Machine Learning Metrics\" | Hashnode"
description: "Discussion on \"The Machine Learning Metrics\". Understand Accuracy, Precision, Recall and F1-score, their meaning, limits, and how they help evaluate machine learning classification models."
url: "https://hashnode.com/posts/the-machine-learning-metrics/6af72e73c7dd47f93a806de3"
---

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# [The Machine Learning Metrics](https://rayanetoko.hashnode.dev/the-machine-learning-metrics?utm_source=hashnode&utm_medium=feed)

Understand Accuracy, Precision, Recall and F1-score, their meaning, limits, and how they help evaluate machine learning classification models.

11h ago · 5 min read · rayanetoko.hashnode.dev  
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-   [#metrics](https://hashnode.com/tag/metrics)
-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#deeplearning](https://hashnode.com/tag/deeplearning)
-   [#machine-learning-metrics](https://hashnode.com/tag/machine-learning-metrics)
-   [#machine-learning-recall](https://hashnode.com/tag/machine-learning-recall)
-   [#machine-learning-accuracy](https://hashnode.com/tag/machine-learning-accuracy)
-   [#machine-learning-precision](https://hashnode.com/tag/machine-learning-precision)
-   [#machine-learning-f1-score](https://hashnode.com/tag/machine-learning-f1-score)

## Written by

[Rayane TOKO](https://hashnode.com/@RayaneTOKO)

@RayaneTOKO

  
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👨‍💻 Computer Scientist | 🌌 Physicist Enthusiast 💡 Always exploring new technologies and seeking to bridge the gap between science and technology.

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