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SPD Matrix Regression on Simulated SPD Matrix power metric
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0.187
MSPE (Mean)
E2M
0.14976
0.40113
0.6525
0.90387
Sep 28, 2025
MSPE (Mean)
MSPE (Std Dev)
Updated 1mo ago
Evaluation Results
Method
Method
Links
MSPE (Mean)
MSPE (Std Dev)
E2M
n (sample size)=2000
2025.09
0.187
0.034
E2M
n (sample size)=1000
2025.09
0.279
0.045
DFR
n (sample size)=2000
2025.09
0.346
0.039
E2M
n (sample size)=500
2025.09
0.443
0.09
DFR
n (sample size)=1000
2025.09
0.582
0.103
RFWLFR
n (sample size)=2000
2025.09
0.637
0.067
RFWLFR
n (sample size)=1000
2025.09
0.726
0.08
RFWLFR
n (sample size)=500
2025.09
0.865
0.093
GFR
n (sample size)=2000
2025.09
1.083
0.057
DFR
n (sample size)=500
2025.09
1.084
0.283
GFR
n (sample size)=1000
2025.09
1.099
0.068
GFR
n (sample size)=500
2025.09
1.118
0.076
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