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What is the purpose of A/B testing in model deployment?

Practice Questions

Q1
What is the purpose of A/B testing in model deployment?
  1. To compare two versions of a model
  2. To train models faster
  3. To clean data
  4. To visualize model performance

Questions & Step-by-Step Solutions

What is the purpose of A/B testing in model deployment?
  • Step 1: Understand that A/B testing is a method used to compare two different versions of something.
  • Step 2: In the context of model deployment, it means comparing two versions of a model (Model A and Model B).
  • Step 3: Deploy both models at the same time to different groups of users or data.
  • Step 4: Collect data on how each model performs based on specific metrics (like accuracy, user engagement, etc.).
  • Step 5: Analyze the results to see which model performed better.
  • Step 6: Use the findings to decide which model to keep for future use.
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