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 (A)</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 (B)</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) (A)</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 (A)</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 (B)</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 (D)</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) (B)</p> Signup and view all the answers

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