Table 4. Accuracy metrics for BRT models of Kyasanur Forest Disease distribution—2 km resolution.
| 2 km without forest loss metrics | 2 km with forest loss metrics | |||||
|---|---|---|---|---|---|---|
| Metric | median | mean | s.d. | median | mean | s.d. |
| Number of trees | 950 | 1095 | 545 | 950 | 1064 | 492 |
| Total deviance | 1.386 | 1.386 | 0.000 | 1.386 | 1.386 | 0.000 |
| Residual deviance | 0.299 | 0.323 | 0.161 | 0.290 | 0.313 | 0.155 |
| Cross validation deviance (mean) | 0.837 | 0.825 | 0.170 | 0.848 | 0.819 | 0.164 |
| Cross validation deviance (standard error) | 0.140 | 0.146 | 0.038 | 0.144 | 0.148 | 0.038 |
| Training set correlation | 0.938 | 0.930 | 0.043 | 0.945 | 0.934 | 0.040 |
| Cross-validation correlation | 0.731 | 0.723 | 0.090 | 0.727 | 0.721 | 0.088 |
| Cross validation correlation (standard error) |
0.072 | 0.074 | 0.025 | 0.075 | 0.078 | 0.029 |
| Training set AUC | 0.997 | 0.993 | 0.009 | 0.998 | 0.994 | 0.008 |
| Cross validation AUC | 0.900 | 0.900 | 0.048 | 0.900 | 0.897 | 0.051 |
| Cross validation AUC (standard error) |
0.041 | 0.042 | 0.015 | 0.044 | 0.045 | 0.017 |
| Cross validation threshold | 0.536 | 0.540 | 0.035 | 0.538 | 0.537 | 0.029 |