Table 9 Evaluation of VIF, R2, f2, Q2, and Q2_ Prediction
From: Net valence analysis of iris recognition technology-based FinTech
| Â | VIF | R2 | f2 | Q2 | Q2_predict |
|---|---|---|---|---|---|
PHR | 1.349 | – | 0.019 | – | – |
INT | – | 0.302 | – | 0.249 | 0.307 |
COB | 1.491 | – | 0.044 | – | – |
FIR | 1.665 | – | 0.017 | – | – |
PER | 1.027 | – | 0.002 | – | – |
PRR | 1.901 | – | 0.030 | – | – |
SEB | 1.699 | – | 0.146 | – | – |
HYB | 1.780 |  | 0.063 | – | – |
PVA | 1.000 | 0.609 | 0.432 | 0.474 | 0.586 |