Table 6 Impact of different inputs on classification performance on the ROAD-I dataset
From: Early detection of dementia through retinal imaging and trustworthy AI
Methods | Accuracy | Precision | F1-score | Kappa | AUC |
|---|---|---|---|---|---|
SVC | 0.8440 | 0.8459 | 0.8448 | 0.6001 | 0.9056 |
DVC | 0.8610 | 0.8578 | 0.8588 | 0.6288 | 0.9119 |
CC | 0.8532 | 0.8606 | 0.8366 | 0.5523 | 0.8966 |
Multi-input | 0.8885 | 0.8862 | 0.8867 | 0.7018 | 0.9355 |
