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Which of the following best describes the concept of 'model drift'?

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Question: Which of the following best describes the concept of \'model drift\'?

Options:

  1. The model\'s performance improves over time
  2. The model\'s predictions become less accurate due to changes in data distribution
  3. The model\'s architecture changes during deployment
  4. The model is retrained with new data

Correct Answer: The model\'s predictions become less accurate due to changes in data distribution

Solution: 

Model drift occurs when the model\'s predictions become less accurate due to changes in the underlying data distribution over time.

Which of the following best describes the concept of 'model drift'?

Practice Questions

Q1
Which of the following best describes the concept of 'model drift'?
  1. The model's performance improves over time
  2. The model's predictions become less accurate due to changes in data distribution
  3. The model's architecture changes during deployment
  4. The model is retrained with new data

Questions & Step-by-Step Solutions

Which of the following best describes the concept of 'model drift'?
  • Step 1: Understand that a model is a tool used to make predictions based on data.
  • Step 2: Recognize that the data the model was trained on can change over time.
  • Step 3: Realize that when the new data is different from the data used to train the model, the model may not perform as well.
  • Step 4: This decrease in accuracy of the model's predictions due to changes in data is called 'model drift'.
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