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Benchmarks
Stationary Linear Regression on MCPD 1.0 (test)
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0.7432
R2 Score
Batch Regression (Pseudo-Inverse)
0.728359
0.732214
0.73607
0.739926
Dec 14, 2025
R2 Score
Execution Time (s)
Updated 4d ago
Evaluation Results
Method
Method
Links
R2 Score
Execution Time (s)
Batch Regression (Pseudo-Inverse)
method=Pseudo-Inverse
2025.12
0.7432
0.0033
OLR
eta=0.001, epochs=N *...
2025.12
0.7422
0.0283
OLR-WA
alpha=0.5, BK=N * 0.1,...
2025.12
0.7408
0.0036
ORR
eta=0.001, epochs=N *...
2025.12
0.7407
0.0297
RLS
lambda=0.99, delta=0.01
2025.12
0.7383
0.0219
LMS
eta=0.01
2025.12
0.7364
0.0136
SGD
eta=0.01, epochs=N * 2
2025.12
0.7309
0.0274
MBGD
eta=0.01, K=M * 5, epo...
2025.12
0.7301
0.0091
PA
C=0.1, epsilon=0.1
2025.12
0.7289
0.0065
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