Classification and Predictive Performance in Data Mining

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10 Questions

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

Evaluating goodness-of-fit

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

Buyer/nonbuyer

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

Mean absolute error

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

Difference between actual y and predicted y

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

To know how well the model fits the training data

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

Coefficient of determination (R^2)

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

Difference between actual y and predicted y

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

House price

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

To know how well the model fits the training data

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

Mean absolute error (MAE)

Test your knowledge on evaluating classification and predictive performance in data mining for business analytics using R. Explore the different methods and choices available for classification and prediction models, and learn how to assess their performance to select the best model.

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