---

DEVELOPER GAINS

---

The report shows accuracy improvements over time for this developer. The traces correspond to the datasets named in the legend. The FMR is fixed independently for each dataset to the value given in the y-axis label.

---

COMPARATIVE ACCURACY

---

For each dataset, the panels show false non-match rates vs. false match rates for recognito_001 and several of the most accurate algorithms listed in the caption. The most accurate algorithms vary by dataset. When negative values appear on the vertical axis, they are logarithms of FNMR. Use mouseover to see FNMR, FMR and threshold values.

Dataset comparison: false non-match rates vs. false match rates for each dataset. Use mouseover to see FNMR, FMR and threshold values.

To inform threshold setting, the two panels show, respectively, FMR and FNMR as a function of threshold. Many applications will use the threshold to target a specific FMR, established by policy. For a given threshold, FNMR variation is expected across datasets due, primarily, to quality and agageing differences. FMR differences may be due to different demographic composition - see figure below - or other factors.