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Correlation coefficients (CCs) and root mean square errors (RMSEs) are calculated for all residues when performing support vector regression algorithm using different input information.
| CC | RMSE | |
| LS | 0.69 ± 0.01 | 0.72 ± 0.01 |
| LS+W | 0.733 ± 0.005 | 0.68 ± 0.01 |
| LS+AA | 0.708 ± 0.009 | 0.71 ± 0.01 |
| LS+W+AA | 0.734 ± 0.006 | 0.68 ± 0.01 |
