Research Article
Prediction of Diabetes through Retinal Images Using Deep Neural Network
Table 1
Comparison chart of the proposed work.
| Model | Class-label | Precision | Recall | F1-score | Accuracy (%) |
| Logistic regression [33] | 0 (nondiabetic) | 0.72 | 0.71 | 0.93 | 73 | 1 (diabetic) | 0.73 | 0.72 | 0.94 |
| Random forest | 0 (nondiabetic) | 0.76 | 0.75 | 0.75 | 77.4 | 1 (diabetic) | 0.75 | 0.77 | 0.76 |
| Proposed fine-tuned MLP | 0 (nondiabetic) | 0.86 | 0.85 | 0.85 | 86.6 | 1 (diabetic) | 0.86 | 0.88 | 0.87 |
| Deep neural network (proposed) | 0 (nondiabetic) | 0.95 | 0.91 | 0.93 | 95.6 | 1 (diabetic) | 0.94 | 0.93 | 0.94 |
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