Research Article
Optimal Deep Learning Model for Olive Disease Diagnosis Based on an Adaptive Genetic Algorithm
Table 7
Sample of binary classification results based on an adaptive genetic algorithm: scenario2.
| Scenario 2 |
| | Epoch | Batch size | Accuracy | roc_auc | Precision | Recall | fBeta | AlexNet | 1 | 32 | 0.84 | 0.92 | 0.86 | 0.87 | 0.86 | 40 | 64 | 0.91 | 0.98 | 0.87 | 0.98 | 0.95 | 60 | 128 | 0.91 | 0.97 | 0.89 | 0.96 | 0.94 | Resnet | 1 | 64 | 0.90 | 0.96 | 0.90 | 0.91 | 0.91 | 46 | 64 | 0.98 | 0.99 | 0.98 | 0.99 | 0.99 | 61 | 128 | 0.98 | 0.99 | 0.98 | 0.99 | 0.99 | DensNet | 1 | 128 | 0.92 | 0.97 | 0.94 | 0.92 | 0.93 | 41 | 64 | 0.97 | 0.99 | 0.97 | 0.98 | 0.98 | 60 | 64 | 0.97 | 0.99 | 0.98 | 0.98 | 0.98 |
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