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    Model Evaluation

    Report model results honestly

    Learn to test an ML model without fooling yourself. You will use baselines, validation splits, confusion matrices, precision, recall, and honest demo reporting.

    For college builders in India who can code and want an ML project result they can defend in internships.

    Advanced7 lessonsAbout 31 min+100 XP

    Usually easier after Machine Learning. You can start here anyway.

    Start lesson 1

    Your path

    1. 1Start hereWhy accuracy can mislead4 min
    2. 2Read a confusion matrix5 min
    3. 3Choose precision or recall4 min
    4. 4Make a clean validation split4 min
    5. 5Beat a real baseline4 min
    6. 6Write an honest result5 min
    7. 7Submit your evaluated project5 min
    8. The check10 questions · 7 to pass
    9. Verify the Model Evaluation skill+100 XP and a proof page, once the check and the task are done
    How you earn it
    Model Evaluation
    +100 XP on your profile

    Both of these. Either order.

    Pass the check

    10 questions from the lessons. Get 7 right.

    Take the check
    A submitted hackathon project

    Submit a hackathon project that includes a model evaluation section in the demo or project description. Report the dataset, split method, baseline, confusion matrix, key metric, and one limitation honestly.

    Already done it before? It counts. We check your history.

    Sign in to keep track of your lessons and earn the skill.