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What is the purpose of monitoring a deployed machine learning model?

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Question: What is the purpose of monitoring a deployed machine learning model?

Options:

  1. To ensure the model is still accurate over time
  2. To collect more training data
  3. To improve the model\'s architecture
  4. To reduce the model\'s size

Correct Answer: To ensure the model is still accurate over time

Solution: 

Monitoring a deployed machine learning model is essential to ensure that it maintains accuracy and performance over time as data and conditions change.

What is the purpose of monitoring a deployed machine learning model?

Practice Questions

Q1
What is the purpose of monitoring a deployed machine learning model?
  1. To ensure the model is still accurate over time
  2. To collect more training data
  3. To improve the model's architecture
  4. To reduce the model's size

Questions & Step-by-Step Solutions

What is the purpose of monitoring a deployed machine learning model?
  • Step 1: Understand that a machine learning model is trained on data to make predictions.
  • Step 2: Recognize that the data and conditions in the real world can change over time.
  • Step 3: Realize that if the data changes, the model's predictions may become less accurate.
  • Step 4: Learn that monitoring helps track the model's performance and accuracy regularly.
  • Step 5: Identify issues early, such as when the model starts making wrong predictions.
  • Step 6: Take action to improve the model if monitoring shows it is not performing well.
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