Why might the overall prediction accuracy of a classification model be a misleading measure of performance?

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Why might the overall prediction accuracy of a classification model be a misleading measure of performance? (choose the best answer) 

 
  1. If some outcomes are relatively rare, then a classifier may appear accurate despite that it never predicts those rare outcomes.

     
  2. Sometimes the accuracy metric is simply incorrect.  

     
  3. Accuracy is subjective; it does not have a generally accepted definition in machine learning.  

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