From: Comparison of new computational methods for spatial modelling of malaria
Fold | Density | Model | RMSE | Corr | % points with absolute error less than | ||
---|---|---|---|---|---|---|---|
0.05 | 0.1 | 0.2 | |||||
10-fold | Low | INLA | 0.005 | − 0.234 | 100 | 100 | 100 |
GPBoost | 0.028 | − 0.189 | 96 | 100 | 100 | ||
SpRF | 0.006 | − 0.059 | 100 | 100 | 100 | ||
FRK | 0.048 | − 0.021 | 62 | 98 | 100 | ||
Medium | INLA | 0.141 | − 0.003 | 75.723 | 82.659 | 93.642 | |
GPBoost | 0.138 | − 0.021 | 60.694 | 85.549 | 94.22 | ||
SpRF | 0.143 | − 0.025 | 72.832 | 80.347 | 93.642 | ||
FRK | 0.145 | − 0.035 | 58.382 | 76.301 | 94.22 | ||
High | INLA | 0.24 | 0.305 | 52.229 | 61.783 | 73.248 | |
GPBoost | 0.134 | 0.788 | 29.936 | 52.866 | 89.809 | ||
SpRF | 0.14 | 0.737 | 56.051 | 73.885 | 85.35 | ||
FRK | 0.119 | 0.828 | 54.14 | 70.064 | 87.261 | ||
50-fold | Low | INLA | 0.005 | − 0.128 | 100 | 100 | 100 |
GPBoost | 0.017 | − 0.202 | 98 | 100 | 100 | ||
SpRF | 0.006 | − 0.077 | 100 | 100 | 100 | ||
FRK | 0.021 | − 0.17 | 96 | 100 | 100 | ||
Medium | INLA | 0.123 | 0.501 | 73.41 | 83.815 | 90.173 | |
GPBoost | 0.117 | 0.511 | 73.41 | 84.393 | 91.908 | ||
SpRF | 0.121 | 0.435 | 71.676 | 85.549 | 96.532 | ||
FRK | 0.133 | 0.31 | 75.723 | 83.237 | 91.329 | ||
High | INLA | 0.143 | 0.776 | 55.414 | 71.338 | 81.529 | |
GPBoost | 0.119 | 0.809 | 47.134 | 70.701 | 84.713 | ||
SpRF | 0.14 | 0.742 | 52.866 | 64.968 | 80.892 | ||
FRK | 0.129 | 0.784 | 45.86 | 68.153 | 85.987 |