Which of the following best describes 'model drift'?

₹0.0

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

Options:

Correct Answer: A decrease in model accuracy over time

Solution:

Model drift refers to a decrease in model accuracy over time, often due to changes in the underlying data distribution.

Which of the following best describes 'model drift'?

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.

No concepts available.