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Benchmarks
Stationary Linear Regression on DS4 1.0 (test)
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0.9297
R2
Batch Regression (Pseudo-Inverse)
0.614548
0.696374
0.7782
0.860026
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
0.9297
49.8919
MBGD
eta=0.001, K=M * 5, ep...
2025.12
0.9296
156.8346
OLR-WA
alpha=0.5, BK=N * 0.1,...
2025.12
0.9246
8.0849
LMS
eta=0.01
2025.12
0.9072
5.0248
SGD
eta=0.01, epochs=N * 2
2025.12
0.9066
5.956
PA
C=0.1, epsilon=0.1
2025.12
0.8726
3.8015
OLR
eta=0.001, epochs=N *...
2025.12
0.8641
3.9323
ORR
eta=0.001, epochs=N *...
2025.12
0.8554
1.9249
RLS
lambda=0.99, delta=0.01
2025.12
0.6267
1,907.8876
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