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Table 1 Experiment illustrating data imbalance influence on accuracy

From: On biometric systems: electrocardiogram Gaussianity and data synthesis

# of imp. obs. 20 40 60 80 100 150 200 250
EER (%) 10.41 9.51 9.70 9.77 9.89 9.35 10.00 9.74
TRR (%) 89.59 95.38 97.50 98.21 98.80 99.32 99.56 99.70
TAR (%) 88.93 80.11 71.68 66.04 60.54 51.85 44.76 38.83
  1. We used 20 observations for genuine data. Despite the fact that EER was not influenced greatly when number of imposter data increased, TAR has decreased significantly and TRR has increased. This suggests that the classifier became biased towards imposter data. EER, TAR, and TRR quantities and their calculations are explained in Section 3.2. TRR and TAR are calculated for the 50% decision threshold of selection between imposter and genuine classes EER equal error rate, TAR true acceptance rate, TRR true rejection rate