Open Access

Table 2

Comparison of the classification metrics for each learning model in the POC tasks.

spec-z Algorithm Accuracy Precision Recall F1-score
No Random-Forest (Clarke) 0.983 0.981 0.967 0.974
No XGBoost 0.987 0.984 0.977 0.980
Yes Random-Forest 0.989 0.991 0.979 0.984
Yes XGBoost 0.994 0.993 0.989 0.991

Notes. For the reproduction and improvement of the results by Clarke et al. (2020), the spec-z, spectroscopic redshift, column is set as No; for the exploratory analysis of the inclusion of the spectroscopic redshift in the data, the spec-z column is set as Yes.

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