Table 2.
IC features for reappraisal and suppression, R-squared and RMSE values ordered from best to worse
| Target | Feature | R2 | RMSE | Target | Feature | R2 | RMSE |
|---|---|---|---|---|---|---|---|
| Reappraisal (ERQ) Score | IC13 | 0.32 | 0.8489 | Suppression (ERQ) Score | IC7 | 0.16 | 0.97582 |
| IC8 | 0.09 | 0.97268 | IC8 | 0.12 | 1.0068 | ||
| IC1 | 0.08 | 0.9654 | IC4 | 0.08 | 1.0199 | ||
| IC16 | 0.08 | 0.97462 | IC3 | 0.07 | 1.0255 | ||
| IC4 | 0.06 | 0.97561 | IC5 | 0.06 | 1.0315 | ||
| IC5 | 0.06 | 0.98135 | IC13 | 0.06 | 1.046 | ||
| IC10 | 0.06 | 0.97761 | IC17 | 0.05 | 1.0415 | ||
| IC7 | 0.05 | 0.99257 | IC15 | 0.04 | 1.0487 | ||
| IC12 | 0.05 | 0.98817 | IC9 | 0.02 | 1.066 | ||
| IC6 | 0.04 | 0.98159 | IC14 | 0.02 | 1.0566 | ||
| IC11 | 0.04 | 1.0079 | IC6 | 0.01 | 1.0608 | ||
| IC2 | 0.03 | 0.99897 | IC2 | 0.01 | 1.0641 | ||
| IC15 | 0 | 1.0109 | IC12 | -0.01 | 1.0848 | ||
| IC3 | -0.04 | 1.0256 | IC10 | -0.01 | 1.0679 | ||
| IC17 | -0.04 | 1.0257 | IC16 | -0.07 | 1.1128 | ||
| IC14 | -0.08 | 1.0621 | IC11 | -0.08 | 1.1224 | ||
| IC9 | -0.09 | 1.0504 | IC1 | -0.15 | 1.1426 |
R2 = coefficient of determination; RMSE = standard deviation of the residuals.