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Benchmarks
Stationary Linear Regression on DS2 1.0 (test)
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0.9842
R2
Batch Regression (Pseudo-Inverse)
0.969298
0.973161
0.977025
0.980889
Dec 14, 2025
R2
Latency (s)
Updated 4d ago
Evaluation Results
Method
Method
Links
R2
Latency (s)
Batch Regression (Pseudo-Inverse)
method=Pseudo-Inverse
2025.12
0.9842
0.0143
MBGD
eta=0.01, K=M * 5, epo...
2025.12
0.9838
0.0145
RLS
lambda=0.99, delta=0.01
2025.12
0.9827
0.1235
OLR-WA
alpha=0.5, BK=N * 0.1,...
2025.12
0.9826
0.0357
LMS
eta=0.01
2025.12
0.9824
0.068
SGD
eta=0.01, epochs=N * 2
2025.12
0.9823
0.1415
OLR
eta=0.01, epochs=N * 2...
2025.12
0.9796
0.204
PA
C=0.01, epsilon=0.01
2025.12
0.9764
0.0596
ORR
eta=0.01, epochs=N * 2...
2025.12
0.9699
0.1952
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