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Table 5.
Redshift and spectral type prediction performance for HIEROs.
| N | Photo-z | SED classification | ||||
|---|---|---|---|---|---|---|
| RMSE | ⟨Δz⟩ | OLF | NMAD | Accuracy | ||
| HIEROs | 184 441 | 0.654 | −0.084 | 0.123 | 0.068 | 86.20% |
| Red HIEROs | 51 092 | 0.668 | −0.059 | 0.143 | 0.073 | 86.28% |
| Blue HIEROs | 89 996 | 0.690 | −0.119 | 0.126 | 0.061 | 86.28% |
| Other | 3 461 040 | 0.341 | −0.013 | 0.057 | 0.038 | 97.20% |
| HE ≤ 26 HIEROs | 30 632 | 0.545 | −0.131 | 0.085 | 0.055 | 92.68% |
| HE ≤ 26 Red HIEROs | 24 645 | 0.477 | −0.097 | 0.07 | 0.052 | 94.44% |
| HE ≤ 26 Blue HIEROs | 5987 | 0.766 | −0.275 | 0.149 | 0.076 | 85.44% |
Notes.N indicates the number of objects in the selection. ‘Other’ indicates the classes of objects with HE − [4.5]< 2.25.
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