Effect of the cross-validation on the experiments of Table 2. Each column represents the standard deviation across 10 different experiments for a statistical estimator. In this case, our spectroscopic SFRs span in the range ∼[−14, −17]. This shows how, in this case, the cross-validation can be considered as negligible.
Model . | σRMSE . | σMedian . | σσ . | ση . |
---|---|---|---|---|
RF | 0.001 | 0.00003 | 0.001 | 0.041 |
MLPQNA | 0.002 | 0.00051 | 0.002 | 0.002 |
Model . | σRMSE . | σMedian . | σσ . | ση . |
---|---|---|---|---|
RF | 0.001 | 0.00003 | 0.001 | 0.041 |
MLPQNA | 0.002 | 0.00051 | 0.002 | 0.002 |
Effect of the cross-validation on the experiments of Table 2. Each column represents the standard deviation across 10 different experiments for a statistical estimator. In this case, our spectroscopic SFRs span in the range ∼[−14, −17]. This shows how, in this case, the cross-validation can be considered as negligible.
Model . | σRMSE . | σMedian . | σσ . | ση . |
---|---|---|---|---|
RF | 0.001 | 0.00003 | 0.001 | 0.041 |
MLPQNA | 0.002 | 0.00051 | 0.002 | 0.002 |
Model . | σRMSE . | σMedian . | σσ . | ση . |
---|---|---|---|---|
RF | 0.001 | 0.00003 | 0.001 | 0.041 |
MLPQNA | 0.002 | 0.00051 | 0.002 | 0.002 |
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