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Discuss Model Evaluation Techniques

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Problem

Scenario

You have trained and shipped machine learning models before, and the team wants to understand how you evaluate whether a model is actually good enough for use. They are looking for how you think about different metrics and when you would choose one over another.

Question

What is your experience with machine learning model evaluation techniques?

What This Tests

  • Choosing evaluation metrics based on the ML task
  • Interpreting precision, recall, F1, and AUC-ROC together
  • Understanding confusion matrix tradeoffs
  • Connecting offline metrics to business decisions