4. Metrics

Activity: Understanding Metrics for Machine Learning

This activity is designed to test your skills in evaluating machine learning models using various metrics.

Evaluation Criteria

The deliverable for this activity consists of a report that includes:

Important Notes:

• The deliverable must be submitted in the format specified: GitHub Pages. No other formats will be accepted. - there exists a template for the course that you can use to create your GitHub Pages - template;

• There is a strict policy against plagiarism. Any form of plagiarism will result in a zero grade for the activity and may lead to further disciplinary actions as per the university's academic integrity policies;

• The deadline for each activity is not extended, and it is expected that you complete them within the timeframe provided in the course schedule - NO EXCEPTIONS will be made for late submissions.

• AI Collaboration is allowed, but each student MUST UNDERSTAND and be able to explain all parts of the code and analysis submitted. Any use of AI tools must be properly cited in your report. ORAL EXAMS may require you to explain your work in detail.

• All deliverables for individual activities should be submitted through the course platform insper.blackboard.com.

Grade Criteria:

• Exercise 1 (3 points):

• Exercise 2 (3 points):

• Exercise 3 (4 points):