Table 5. Comparison of the prediction models to predict a gF score.
Functional Network | FNPearson | FNPartial | FNgl | FNsimplex | ||
r | 0.062 ± 0.109 | 0.103 ± 0.110 | 0.080 ± 0.104 | 0.271 ± 0.054 | ||
RMSE | 5.28 ± 2.06 | 4.79 ± 0.44 | 4.77 ± 0.40 | 4.53 ± 0.35 | ||
Functional + Structural | SN + FNPearson | SN + FNPartial | SN + FNgl | SFNagl | SFNsimplex | |
r | 0.255±0.131 | 0.110 ± 0.080 | 0.112 ± 0.089 | 0.105 ± 0.107 | 0.287 ± 0.090 | |
RMSE | 4.98±1.88 | 4.61 ± 0.51 | 4.61 ± 0.40 | 4.73 ± 0.39 | 4.54 ± 0.37 |