Table 6.

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.

IDRMSEMedianη
RFΦLAB0.252−0.0212.03
RND0.269−0.0181.87
B+W0.253−0.0222.03
IDRMSEMedianη
RFΦLAB0.252−0.0212.03
RND0.269−0.0181.87
B+W0.253−0.0222.03
Table 6.

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.

IDRMSEMedianη
RFΦLAB0.252−0.0212.03
RND0.269−0.0181.87
B+W0.253−0.0222.03
IDRMSEMedianη
RFΦLAB0.252−0.0212.03
RND0.269−0.0181.87
B+W0.253−0.0222.03
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