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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
The text was updated successfully, but these errors were encountered:
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
The text was updated successfully, but these errors were encountered: