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Should we instead use the accuracy measure for evaluation?

  • Given a query, an engine classifies each doc as “Relevant” or “Nonrelevant”

  • The accuracy of an engine: the fraction of these classifications that are correct

    • (tp + tn) / ( tp + fp + fn + tn)

  • Accuracy is a commonly used evaluation measure in machine learning classification work

  • Why is this not a very useful evaluation measure in IR?


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