Question: Give two different reasons why using ROC curves can be more effective for assessing model quality than using the percent of classifications that are correct.

Give two different reasons why using ROC curves can be more effective for assessing model quality than using the percent of classifications that are correct. What exactly does the area under the ROC curve represent?

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