F1 Score in Machine Learning | A Complete Guide for Data Scientists and Testers

Are you testing machine learning models and wondering how to measure their performance? The F1 score is a key metric used by data scientists and software testers to evaluate models effectively. In this video, I’ll walk you through everything you need to know about the F1 score, including:

✅ What is the F1 score, and why is it important?
✅ How to calculate the F1 score step by step
✅ Understanding Precision and Recall
✅ Breaking down True Positive, False Positive, False Negative, and True Negative
✅ When should you use the F1 score?
✅ Running a Python code demo to explain all key parameters

By the end of this tutorial, you'll be able to calculate and interpret the F1 score and even automate the process to improve your machine-learning models.

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#MachineLearning #F1Score #SoftwareTesting #AI #DataScience #Python #ModelEvaluation #TestingAI

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