---
title: "Discussion on \"📏 Model Evaluation Metrics in ML: From Accuracy to AUC\" | Hashnode"
description: "Discussion on \"📏 Model Evaluation Metrics in ML: From Accuracy to AUC\". “A good model isn't just accurate — it's understood.”— Tilak Savani\n\n\n\n🧠 Introduction\nAfter training a model, we can’t just stop at accuracy — especially when dealing with imbalanced datasets or real-world problems like spam detection, medical diagn..."
url: "https://hashnode.com/posts/model-evaluation-metrics-in-ml-from-accuracy-to-auc/6874836eefde1d970893a807"
---

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# [📏 Model Evaluation Metrics in ML: From Accuracy to AUC](https://model-evaluation-metrics-in-ml.hashnode.dev/model-evaluation-metrics-in-ml-from-accuracy-to-auc?utm_source=hashnode&utm_medium=feed)

“A good model isn't just accurate — it's understood.”— Tilak Savani 🧠 Introduction After training a model, we can’t just stop at accuracy — especially when dealing with imbalanced datasets or real-world problems like spam detection, medical diagn...

Jul 14, 2025 · 3 min read · model-evaluation-metrics-in-ml.hashnode.dev  
Updated Jul 15, 2025  
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-   [#accuracy](https://hashnode.com/tag/accuracy)
-   [#precision](https://hashnode.com/tag/precision)
-   [#recall](https://hashnode.com/tag/recall)
-   [#sensitivity](https://hashnode.com/tag/sensitivity)
-   [#f1-score](https://hashnode.com/tag/f1-score)
-   [#mean-absolute-error](https://hashnode.com/tag/mean-absolute-error)
-   [#mean-squared-error](https://hashnode.com/tag/mean-squared-error)
-   [#root-mean-square-error](https://hashnode.com/tag/root-mean-square-error)
-   [#classification](https://hashnode.com/tag/classification)
-   [#regression](https://hashnode.com/tag/regression)
-   [#machine-learning](https://hashnode.com/tag/machine-learning)
-   [#python](https://hashnode.com/tag/python)
-   [#aucroccurve](https://hashnode.com/tag/aucroccurve)

## Written by

[Tilak Savani](https://hashnode.com/@tilaksavani)

@tilaksavani

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

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