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Benchmarks
Stationary Linear Regression on DS3 1.0 (test)
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0.983
R2 Score
Batch Regression (Pseudo-Inverse)
0.959091
0.965295
0.9715
0.977705
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
0.983
0.0815
MBGD
eta=0.01, K=M * 5, epo...
2025.12
0.9829
0.2445
OLR-WA
alpha=0.5, BK=N * 0.1,...
2025.12
0.982
0.3929
LMS
eta=0.01
2025.12
0.9816
0.0724
SGD
eta=0.01, epochs=N * 2
2025.12
0.9812
0.1501
OLR
eta=0.001, epochs=N *...
2025.12
0.9793
0.2021
ORR
eta=0.001, epochs=N *...
2025.12
0.969
0.1889
PA
C=0.01, epsilon=0.01
2025.12
0.9671
0.0932
RLS
lambda=0.99, delta=0.01
2025.12
0.96
5.1406
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