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Benchmarks
Stationary Linear Regression on DS1 1.0 (test)
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0.9764
R2
Batch Regression (Pseudo-Inverse)
0.967249
0.969617
0.971985
0.974353
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
0.9764
0.0012
RLS
lambda=0.99, delta=0.01
2025.12
0.9762
0.0107
LMS
eta=0.01
2025.12
0.9762
0.0067
MBGD
eta=0.01, K=M * 5, epo...
2025.12
0.9758
0.0043
OLR
eta=0.01, epochs=N * 2...
2025.12
0.9757
0.0203
SGD
eta=0.01, epochs=N * 2
2025.12
0.9756
0.0139
OLR-WA
alpha=0.5, BK=N * 0.1,...
2025.12
0.9742
0.0119
PA
C=0.01, epsilon=0.01
2025.12
0.9738
0.0087
ORR
eta=0.01, epochs=N * 2...
2025.12
0.9676
0.0196
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