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Censored Quantile Regression on Norm heavy (test)
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0.579
MSE
CQRNN
-222.15328
1,281.28961
2,784.7325
4,288.17539
May 26, 2022
MSE
Quantile Loss (Uncensored)
D-Calibration (Uncensored)
Concordance Index
D-Calibration (Censored)
Updated 4d ago
Evaluation Results
Method
Method
Links
MSE
Quantile Loss (Uncensored)
D-Calibration (Uncensored)
Concordance Index
D-Calibration (Censored)
CQRNN
2022.05
0.579
0.999
6.491
0.922
0.301
Sequential grid
2022.05
0.597
0.996
6.595
0.923
0.198
DeepQuantReg
2022.05
1.099
1.166
6.681
0.923
0.191
Excl. censor
2022.05
1.285
1.223
8.206
0.923
0.261
LogNorm MLE
2022.05
5,568.886
17.077
21.283
0.852
1.113
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