---
title: "Discussion on \"Recall, Precision, and F1 score explained.\" | Hashnode"
description: "Discussion on \"Recall, Precision, and F1 score explained.\". Introduction\nA store owner recently noticed an alarmingly high rate of shoplifting.\nHe develops a machine learning model that predicts if a customer has shoplifted or not and it is 95% accurate! \nHe deploys the model but a month later catches no shop..."
url: "https://hashnode.com/posts/recall-precision-and-f1-score-explained/60a108eeb66a0b15ebfc9460"
---

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# [Recall, Precision, and F1 score explained.](https://hashnode.prathamprasoon.com/recall-precision-and-f1-score-explained?utm_source=hashnode&utm_medium=feed)

Introduction A store owner recently noticed an alarmingly high rate of shoplifting. He develops a machine learning model that predicts if a customer has shoplifted or not and it is 95% accurate! He deploys the model but a month later catches no shop...

May 16, 2021 · 4 min read · hashnode.prathamprasoon.com  
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## Written by

[Pratham Prasoon](https://hashnode.com/@PrasoonPratham)

@PrasoonPratham · 🌍Mumbai

  
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Self taught programmer.

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