Module 1: Basics and Background
  Lecture 3: Error Measures
 

                                            


 




Parameters for errors
  • Recall or Sensitivity =
 
  • Proportion of answers found
  • Precision =
 
  • Proportion of "true" answers in those found
  • Specificity
 
  • Proportion of" "true" non-answers in those not found
  • F-score or F-measure =
 
  • Single measure capturing both precision and recall
 
  • Recall is times more important than precision
 
  • When =1, it is the harmonic mean of precision and recall
  • Accuracy =
 
  • Proportion of objects correctly classified as answers and non-answers