Share your thoughts, 1 month free Claude Pro on us
See more
Home
/
Benchmarks
K-NN Regression on Additive benchmark functions Low dependence
Loading...
0.0834
f0 Mean ORMSE
A2D2E
0.07218
0.147915
0.22365
0.299385
Oct 9, 2025
f0 Mean ORMSE
f1 Mean ORMSE
f2 Mean ORMSE
f3 Mean ORMSE
f4 Mean ORMSE
f5 Mean ORMSE
Updated 1mo ago
Evaluation Results
Method
Method
Links
f0 Mean ORMSE
f1 Mean ORMSE
f2 Mean ORMSE
f3 Mean ORMSE
f4 Mean ORMSE
f5 Mean ORMSE
A2D2E
noise fraction=0.3, de...
2025.10
0.0834
0.1504
0.3113
0.1998
1.327
0.2266
PD
noise fraction=0.3, de...
2025.10
0.0932
0.2306
0.293
0.172
1.7226
0.2508
ALE
noise fraction=0.3, de...
2025.10
0.1123
0.1728
0.3514
0.2922
1.4658
0.2487
DALE
noise fraction=0.3, de...
2025.10
0.2006
0.4147
0.4833
0.5025
1.5712
0.2664
M
noise fraction=0.3, de...
2025.10
0.3639
0.3693
0.6823
1.3514
4.1034
0.8672
Feedback
Search any
task
Search any
task
