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Published 20 hours ago • verified publisher icon Data-Centric-AI-Community

Classification Metrics in Machine Learning

Open miriamspsantos opened this issue 2 years ago • 0 comments

Description

Develop a tutorial on common classification metrics in machine learning, such as accuracy, precision, recall, and F1-score. Explain when to use each metric and how to calculate them.

Acceptance Criteria

  • [ ] Submit a Jupyter notebook containing the tutorial and the necessary datasets if need
  • [ ] Modify the README.md file to include the new tutorial and a link to the added notebook

miriamspsantos avatar Oct 13 '23 14:10 miriamspsantos