Table 16 From [23] original caption, “Iris recognition performances on the CASIA dataset, with the cross-validation performed after the over-sampling (SMOTE).”
Method | Accuracy | Precision | Recall | F1 | AUC |
|---|---|---|---|---|---|
All features | |||||
OneR | 0.9982 ± 0.003 | 1.00 ± 0.01 | 0.99 ± 0.01 | 0.99 ± 0.01 | 1.00 ± 0.01 |
J48 | 0.9926 ± 0.006 | 0.99 ± 0.02 | 0.96 ± 0.04 | 0.98 ± 0.02 | 0.98 ± 0.02 |
SMO | 0.9927 ± 0.005 | 0.99 ± 0.02 | 0.96 ± 0.03 | 0.98 ± 0.02 | 0.98 ± 0.01 |
SVC | 0.9955 ± 0.004 | 0.97 ± 0.03 | 1.00 ± 0.01 | 0.98 ± 0.02 | 0.99 ± 0.00 |
RandomForest | 0.9980 ± 0.003 | 1.00 ± 0.01 | 0.99 ± 0.02 | 0.99 ± 0.01 | 1.00 ± 0.00 |
MultiboostAB | 0.9998 ± 0.001 | 1.00 ± 0.00 | 1.00 ± 0.00 | 1.00 ± 0.00 | 1.00 ± 0.00 |
CatBoost | 0.9993 ± 0.001 | 1.00 ± 0.01 | 1.00 ± 0.00 | 1.00 ± 0.00 | 0.99 ± 0.00 |
RFE-16 | |||||
OneR | 0.9978 ± 0.003 | 1.00 ± 0.01 | 0.99 ± 0.02 | 0.99 ± 0.01 | 0.99 ± 0.01 |
J48 | 0.9947 ± 0.005 | 0.99 ± 0.01 | 0.97 ± 0.03 | 0.98 ± 0.02 | 0.99 ± 0.01 |
SMO | 0.9966 ± 0.004 | 0.99 ± 0.01 | 0.98 ± 0.02 | 0.99 ± 0.01 | 0.99 ± 0.01 |
SVC | 0.9951 ± 0.002 | 0.97 ± 0.02 | 0.99 ± 0.01 | 0.98 ± 0.01 | 0.99 ± 0.00 |
RandomForest | 0.9983 ± 0.002 | 1.00 ± 0.01 | 0.99 ± 0.01 | 0.99 ± 0.01 | 1.00 ± 0.00 |
MultiboostAB | 0.9988 ± 0.002 | 1.00 ± 0.01 | 0.99 ± 0.01 | 1.00 ± 0.01 | 1.00 ± 0.00 |
CatBoost | 0.9979 ± 0.002 | 0.99 ± 0.01 | 1.00 ± 0.01 | 0.99 ± 0.01 | 0.99 ± 0.00 |
RRF-8 | |||||
OneR | 0.9971 ± 0.003 | 1.00 ± 0.01 | 0.98 ± 0.02 | 0.99 ± 0.01 | 0.99 ± 0.01 |
J48 | 0.9960 ± 0.004 | 1.00 ± 0.01 | 0.98 ± 0.02 | 0.99 ± 0.01 | 0.99 ± 0.01 |
SMO | 0.9995 ± 0.002 | 1.00 ± 0.01 | 1.00 ± 0.00 | 1.00 ± 0.00 | 1.00 ± 0.00 |
SVC | 0.9997 ± 0.001 | 1.00 ± 0.00 | 1.00 ± 0.01 | 1.00 ± 0.00 | 0.99 ± 0.00 |
RandomForest | 0.9982 ± 0.003 | 1.00 ± 0.01 | 0.99 ± 0.01 | 0.99 ± 0.01 | 1.00 ± 0.00 |
MultiboostAB | 0.9977 ± 0.003 | 1.00 ± 0.01 | 0.99 ± 0.02 | 0.99 ± 0.01 | 1.00 ± 0.00 |
CatBoost | 0.9986 ± 0.002 | 0.99 ± 0.01 | 1.00 ± 0.01 | 1.00 ± 0.01 | 0.99 ± 0.00 |