Table 3.
R2 (mean ± sd) of predictions in CMLM.
| Number of nodes | 2 | 3 | 4 | 5 | 6 |
| R 2 (mean ± sd) | 0.7321 ± 0.0599 | 0.8357 ± 0.0081 | 0.7897 ± 0.0276 | 0.9255 ± 0.0063 | 0.6594 ± 0.1223 |
| Number of nodes | 7 | 8 | 9 | 10 | 11 |
| R 2 (mean ± sd) | 0.7623 ± 0.0132 | 0.6229 ± 0.0818 | 0.6648 ± 0.0049 | 0.7149 ± 0.0563 | 0.7281 ± 0.0218 |
| Number of nodes | 12 | 13 | 14 | 15 | 16 |
| R 2 (mean ± sd) | 0.7579 ± 0.0357 | 0.7932 ± 0.0026 | 0.5954 ± 0.0214 | 0.4769 ± 0.1373 | 0.8362 ± 0.0035 |
| Number of nodes | 17 | 18 | 19 | 20 | |
| R 2 (mean ± sd) | 0.7074 ± 0.0104 | 0.6305 ± 0.0201 | 0.5928 ± 0.0450 | 0.7207 ± 0.0422 |