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Benchmarks
Stationary Linear Regression on 1KC 1.0 (test)
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0.9362
R2
Batch Regression (Pseudo-Inverse)
0.594583
0.683259
0.771935
0.860611
Dec 14, 2025
R2
Execution Time (s)
Updated 4d ago
Evaluation Results
Method
Method
Links
R2
Execution Time (s)
Batch Regression (Pseudo-Inverse)
method=Pseudo-Inverse
2025.12
0.9362
0.0011
SGD
eta=0.01, epochs=N * 3
2025.12
0.9293
0.0147
MBGD
eta=0.01, K=M * 5, epo...
2025.12
0.912
0.017
OLR-WA
alpha=0.5, BK=N * 0.1,...
2025.12
0.9077
0.0061
OLR
eta=0.01, epochs=N * 3...
2025.12
0.9032
0.0258
ORR
eta=0.01, epochs=N * 3...
2025.12
0.9029
0.0249
RLS
lambda=0.99, delta=0.01
2025.12
0.855
0.0081
PA
C=0.1, epsilon=0.1
2025.12
0.7857
0.0048
LMS
eta=0.001
2025.12
0.6077
0.0047
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