From: Species determination using AI machine-learning algorithms: Hebeloma as a case study
Metrics (/100) | |||||||
---|---|---|---|---|---|---|---|
Class | CG | Second pass CG | Top 1 | Top 3 | Top 5 | MRR | F1m |
Species | 7 | No second pass | 75.0 | 95.4 | 98.8 | 85.2 | 72.4 |
Species | 7 | 1 | 74.5 | 94.9 | 98.5 | 84.9 | 71.4 |
Species | 7 | 2 | 74.1 | 94.3 | 98.7 | 84.6 | 71.0 |
Species | 7 | 3 | 75.3 | 95.4 | 98.8 | 85.4 | 72.2 |
Species | 7 | 4 | 75.0 | 95.2 | 98.7 | 85.2 | 72.0 |
Species | 7 | 5 | 74.7 | 95.1 | 98.7 | 85.0 | 71.6 |
Species | 7 | 6 | 74.5 | 95.4 | 98.8 | 84.9 | 71.6 |
Species | 7 | 7 | 74.7 | 95.2 | 98.7 | 85.0 | 72.0 |
Species | 7 | 8 | 77.5 | 95.3 | 99.2 | 86.7 | 72.1 |
Species | 7 | 9 | 72.3 | 94.7 | 98.3 | 83.7 | 66.3 |
Species | 7 | A | 73.8 | 94.6 | 99.0 | 84.3 | 70.3 |
Species | 7 | B | 75.6 | 93.9 | 99.1 | 85.2 | 69.7 |
Species | 8 | No second pass | 76.7 | 95.8 | 99.2 | 86.5 | 72.1 |
Species | 8 | 1 | 75.9 | 95.1 | 99.2 | 85.8 | 71.0 |
Species | 8 | 2 | 75.8 | 95.3 | 99.2 | 85.8 | 70.8 |
Species | 8 | 3 | 75.9 | 95.3 | 99.2 | 86.0 | 71.0 |
Species | 8 | 4 | 76.1 | 95.8 | 99.2 | 86.1 | 70.9 |
Species | 8 | 5 | 75.9 | 96.0 | 99.4 | 86.0 | 71.1 |
Species | 8 | 6 | 75.9 | 95.5 | 99.1 | 86.0 | 71.2 |
Species | 8 | 7 | 76.1 | 96.2 | 99.4 | 86.2 | 70.8 |
Species | 8 | 8 | 75.8 | 95.5 | 99.2 | 85.9 | 70.9 |
Species | 8 | 9 | 74.2 | 95.3 | 98.9 | 85.0 | 69.5 |
Species | 8 | A | 73.5 | 93.9 | 99.1 | 84.2 | 69.2 |
Species | 8 | B | 73.5 | 94.3 | 98.7 | 84.3 | 69.2 |