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What is the purpose of A/B testing in the context of model deployment?
Practice Questions
Q1
What is the purpose of A/B testing in the context of model deployment?
To compare two different models
To evaluate model performance on training data
To tune hyperparameters
To visualize model predictions
Questions & Step-by-Step Solutions
What is the purpose of A/B testing in the context of model deployment?
Steps
Concepts
Step 1: Understand that A/B testing is a method used to compare two options.
Step 2: In model deployment, you have two versions of a model: Model A and Model B.
Step 3: You want to see which model performs better in real-world conditions.
Step 4: You randomly show Model A to one group of users and Model B to another group.
Step 5: You collect data on how each model performs, such as accuracy or user satisfaction.
Step 6: After gathering enough data, you analyze the results to see which model is better.
Step 7: Use the findings to decide which model to keep for future use.
No concepts available.
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