6.22 Measuring classifier performance

• Some more measure of model accuracy/classifier performance
• Correct Classification Rate (CCR) [as opposed to Error Rate]
  • For what proportion of the units does the correct output \(y_{i}\) match the classifier (predicted) output \(\hat{y}_{i}\)?
  • Proportion of reoffenders correctly predicted
• False Positive Rate (FPR)
  • For what proportion of the units for which the correct output \(y_{i}\) is negative is the classifier output \(\hat{y}_{i}\) positive?
  • Proportion of NON reoffenders (NON recidivators) predicted as reoffenders (recidivators)
• False Negative Rage (FNR): Opposite of above