Table 5. Confusion matrix of Pinus densiflora by machine learning algorithms.
| | | | Reference data | | |
Random Forest | Class | Dominant | Co-dominant | Intermediate | Overtopper | Total |
Dominant | 70 | 20 | 4 | − | 94 |
Co-dominant | 14 | 14 | 4 | 1 | 33 |
Intermediate | − | 3 | 3 | 2 | 8 |
Overtopper | − | − | − | 1 | 1 |
Total | 84 | 37 | 11 | 4 | 136 |
XGboost | Dominant | 68 | 22 | 6 | − | 96 |
Co-dominant | 14 | 10 | 1 | 1 | 26 |
Intermediate | 1 | 4 | 1 | 2 | 8 |
Overtopper | 1 | 1 | 3 | 1 | 6 |
Total | 84 | 37 | 11 | 4 | 136 |
Light GBM | Dominant | 65 | 21 | 5 | − | 91 |
Co-dominant | 17 | 13 | 3 | 1 | 34 |
Intermediate | 2 | 3 | 2 | 2 | 9 |
Overtopper | − | − | 1 | 1 | 2 |
Total | 84 | 37 | 11 | 4 | 136 |