Table 1.
Model | N_feat | R | R | ME | VME | AUC | ACC-2 | ACC-4 | MAFE |
---|---|---|---|---|---|---|---|---|---|
Random forest | 4 | 0.932 | 0.966 | 1 | 0 | 1.000 | 0.658 | 0.944 | 0.883 |
Random forest | 15 | 0.902 | 0.951 | 5 | 0 | 0.996 | 0.680 | 0.914 | 0.915 |
Linear regression | 4 | 0.918 | 0.959 | 0 | 2 | 1.000 | 0.650 | 0.929 | 0.954 |
The number of features were selected according to the performance using leave-one-country-out validation on the training data, see Supplementary Fig. S1.
Number of samples.
Calculated on the log2 values.
The lower the better.