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Benchmarks
Quantile Regression on 122 benchmark datasets
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0.015
Normalized Quantile Loss
SQR
0.01324
0.02512
0.037
0.04888
Aug 11, 2025
Normalized Quantile Loss
Absolute Coverage Error
Parsimony
Updated 1mo ago
Evaluation Results
Method
Method
Links
Normalized Quantile Loss
Absolute Coverage Error
Parsimony
SQR
Transparent=true
2025.08
0.015
0.049
9.85
SQR10K
Transparent=true
2025.08
0.017
0.058
9.71
QDT
Transparent=true
2025.08
0.02
0.066
210.82
LGBM
Transparent=false
2025.08
0.025
0.039
-
SQR
Transparent=true
2025.08
0.03
0.082
10.04
SQR10K
Transparent=true
2025.08
0.033
0.084
9.82
QDT
Transparent=true
2025.08
0.039
0.088
323.46
LGBM
Transparent=false
2025.08
0.042
0.064
-
LQR
Transparent=true
2025.08
0.059
0.065
19.54
LQR
Transparent=true
2025.08
0.059
0.287
19.57
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