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Which of the following best describes 'model drift'?

Practice Questions

Q1
Which of the following best describes 'model drift'?
  1. A decrease in model accuracy over time
  2. The process of retraining a model
  3. The introduction of new features
  4. A method for optimizing model performance

Questions & Step-by-Step Solutions

Which of the following best describes 'model drift'?
  • Step 1: Understand that a model is a tool used to make predictions based on data.
  • Step 2: Realize that the data the model was trained on can change over time.
  • Step 3: Know 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 performance or accuracy of the model over time is called 'model drift'.
  • Step 5: Model drift happens because the patterns in the data have changed, making the model less effective.
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