From: Species determination using AI machine-learning algorithms: Hebeloma as a case study
Metrics (/100) | |||||||
---|---|---|---|---|---|---|---|
Class | CG | Activation | Top 1 | Top 3 | Top 5 | MRR | F1m |
Species | 7 | ReLU | 75.0 | 95.4 | 98.8 | 85.2 | 72.4 |
Species | 7 | Mish | 75.7 | 95.1 | 98.8 | 85.7 | 72.9 |
Species | 7 | ReLU/ReLU | 72.7 | 94.9 | 97.9 | 84.1 | 72.2 |
Species | 7 | ReLU/Mish | 75.1 | 95.8 | 98.1 | 85.4 | 72.9 |
Species | 7 | Mish/ReLU | 74.4 | 95.8 | 98.2 | 84.8 | 71.6 |
Species | 7 | Mish/Mish | 75.3 | 95.8 | 98.4 | 85.5 | 72.3 |
Species | 8 | ReLU | 76.7 | 95.8 | 99.2 | 86.5 | 72.1 |
Species | 8 | Mish | 76.5 | 95.3 | 99.1 | 86.2 | 72.7 |
Species | 8 | ReLU/ReLU | 75.8 | 94.9 | 97.9 | 85.5 | 69.5 |
Species | 8 | ReLU/Mish | 75.9 | 95.3 | 98.5 | 85.7 | 71.2 |
Species | 8 | Mish/ReLU | 75.9 | 94.7 | 97.7 | 85.6 | 71.2 |
Species | 8 | Mish/Mish | 75.2 | 95.3 | 98.1 | 85.4 | 70.0 |
Section | 7 | ReLU | 94.9 | 99.3 | 99.9 | 97.2 | 82.8 |
Section | 7 | Mish | 95.2 | 99.3 | 99.9 | 97.3 | 83.5 |
Section | 7 | ReLU/ReLU | 95.1 | 99.1 | 99.7 | 97.2 | 81.2 |
Section | 7 | ReLU/Mish | 94.9 | 99.4 | 99.7 | 97.2 | 83.1 |
Section | 7 | Mish/ReLU | 94.9 | 99.0 | 100.0 | 97.1 | 80.8 |
Section | 7 | Mish/Mish | 94.6 | 99.1 | 99.9 | 97.0 | 80.7 |
Section | 8 | ReLU | 94.5 | 99.4 | 100.0 | 97.0 | 80.0 |
Section | 8 | Mish | 94.1 | 99.6 | 100.0 | 96.9 | 78.3 |
Section | 8 | ReLU/ReLU | 93.8 | 99.4 | 99.8 | 96.6 | 79.0 |
Section | 8 | ReLU/Mish | 94.5 | 99.6 | 99.8 | 97.0 | 78.7 |
Section | 8 | Mish/ReLU | 94.1 | 99.4 | 99.8 | 96.8 | 78.8 |
Section | 8 | Mish/Mish | 94.5 | 99.6 | 99.8 | 97.0 | 78.3 |