Classification Metrics in Machine Learning

[miriamspsantos]

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