Table 8 Comparison of results with different functional optimizers
From: Species determination using AI machine-learning algorithms: Hebeloma as a case study
Metrics (/100) | |||||||
|---|---|---|---|---|---|---|---|
Class | CG | Optimiser | Top 1 | Top 3 | Top 5 | MRR | F1m |
Species | 7 | AdamW (AMSGrad) | 75.6 | 95.7 | 98.8 | 85.8 | 73.3 |
Species | 7 | AdamW (original) | 75.9 | 95.7 | 98.4 | 85.7 | 73.0 |
Species | 7 | Adam | 75.0 | 95.5 | 98.8 | 85.2 | 72.8 |
Species | 7 | SGD | 74.7 | 93.9 | 97.0 | 84.3 | 70.8 |
Species | 8 | AdamW (AMSGrad) | 77.7 | 96.2 | 99.4 | 87.1 | 73.5 |
Species | 8 | AdamW (original) | 75.0 | 94.7 | 98.9 | 85.2 | 69.5 |
Species | 8 | Adam | 76.7 | 95.8 | 99.2 | 86.5 | 72.2 |
Species | 8 | SGD | 75.2 | 93.4 | 97.7 | 84.9 | 70.6 |
Section | 7 | AdamW (AMSGrad) | 94.9 | 99.4 | 99.9 | 97.2 | 82.8 |
Section | 7 | AdamW (original) | 95.4 | 99.3 | 99.7 | 97.4 | 83.5 |
Section | 7 | Adam | 94.9 | 99.3 | 99.9 | 97.2 | 83.0 |
Section | 7 | SGD | 95.1 | 99.6 | 99.9 | 97.3 | 83.2 |
Section | 8 | AdamW (AMSGrad) | 94.5 | 99.4 | 100.0 | 97.0 | 80.0 |
Section | 8 | AdamW (original) | 95.1 | 99.4 | 99.8 | 97.3 | 81.1 |
Section | 8 | Adam | 94.3 | 99.4 | 100.0 | 97.0 | 79.8 |
Section | 8 | SGD | 94.7 | 99.4 | 100.0 | 97.1 | 81.6 |