Performance of the RF model, calculated on the blind test set, applied to different subsets of features. RFΦLAB uses the 32 features selected by ΦLAB, RND uses a set of 32 features randomly extracted from the original parameter space (best value over the 10 extractions), while B+W uses the best 10 features plus the 22 excluded by ΦLAB. In all such four parameter spaces, both spectroscopic and photometric redshifts were excluded.
ID . | RMSE . | Median . | η . |
---|---|---|---|
RFΦLAB | 0.252 | −0.021 | 2.03 |
RND | 0.269 | −0.018 | 1.87 |
B+W | 0.253 | −0.022 | 2.03 |
ID . | RMSE . | Median . | η . |
---|---|---|---|
RFΦLAB | 0.252 | −0.021 | 2.03 |
RND | 0.269 | −0.018 | 1.87 |
B+W | 0.253 | −0.022 | 2.03 |
Performance of the RF model, calculated on the blind test set, applied to different subsets of features. RFΦLAB uses the 32 features selected by ΦLAB, RND uses a set of 32 features randomly extracted from the original parameter space (best value over the 10 extractions), while B+W uses the best 10 features plus the 22 excluded by ΦLAB. In all such four parameter spaces, both spectroscopic and photometric redshifts were excluded.
ID . | RMSE . | Median . | η . |
---|---|---|---|
RFΦLAB | 0.252 | −0.021 | 2.03 |
RND | 0.269 | −0.018 | 1.87 |
B+W | 0.253 | −0.022 | 2.03 |
ID . | RMSE . | Median . | η . |
---|---|---|---|
RFΦLAB | 0.252 | −0.021 | 2.03 |
RND | 0.269 | −0.018 | 1.87 |
B+W | 0.253 | −0.022 | 2.03 |
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