Classification and Predictive Performance in Data Mining
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Questions and Answers

Which of the following is NOT a method for evaluating predictive performance in supervised learning?

  • Measuring predictive error
  • Evaluating goodness-of-fit (correct)
  • Assessing model performance
  • Comparing actual and predicted values

    • Which of the following is an example of predicted class membership?

  • House price
  • Buyer/nonbuyer (correct)
  • Mean absolute error
  • Propensity to default

    • Which measure of error gives an idea of the magnitude of errors in predictive performance evaluation?

  • Median absolute deviation
  • Mean absolute error (correct)
  • Root mean squared error
  • Mean squared error

    • Which of the following is the key component of most measures for evaluating predictive performance?

    <p>Difference between actual y and predicted y</p> Signup and view all the answers

    Which of the following is NOT a reason why we evaluate predictive performance?

    <p>To know how well the model fits the training data</p> Signup and view all the answers

    Which of the following is NOT a measure of predictive error in evaluating predictive performance?

    <p>Coefficient of determination (R^2)</p> Signup and view all the answers

    Which of the following is a key component of most measures for evaluating predictive performance?

    <p>Difference between actual y and predicted y</p> Signup and view all the answers

    Which of the following is an example of a predicted numerical value in evaluating predictive performance?

    <p>House price</p> Signup and view all the answers

    Which of the following is NOT a reason why we evaluate predictive performance?

    <p>To know how well the model fits the training data</p> Signup and view all the answers

    Which of the following is a measure of the magnitude of errors in evaluating predictive performance?

    <p>Mean absolute error (MAE)</p> Signup and view all the answers

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