Table 4.
R 2 (mean ± sd) of predictions in FMLM.
| Number of nodes | 2 | 3 | 4 | 5 | 6 |
| R 2 (mean ± sd) | 0.8158 ± 0.0096 | 0.8663 ± 0.0220 | 0.8425 ± 0.0055 | 0.9193 ± 0.0185 | 0.8356 ± 0.0149 |
| Number of nodes | 7 | 8 | 9 | 10 | 11 |
| R 2 (mean ± sd) | 0.8343 ± 0.0205 | 0.8795 ± 0.0016 | 0.8746 ± 0.0127 | 0.9572 ± 0.0030 | 0.8842 ± 0.0122 |
| Number of nodes | 12 | 13 | 14 | 15 | 16 |
| R 2 (mean ± sd) | 0.8312 ± 0.0474 | 0.8652 ± 0.0018 | 0.8892 ± 0.0017 | 0.7465 ± 0.1342 | 0.7358 ± 0.0545 |
| Number of nodes | 17 | 18 | 19 | 20 | |
| R 2 (mean ± sd) | 0.8272 ± 0.0143 | 0.8100 ± 0.0063 | 0.7836 ± 0.0054 | 0.8472 ± 0.0010 |