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Benchmarks
K-NN Regression on Additive benchmark functions Independent dependence
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0.0306
f0 Mean ORMSE
PD
0.024012
0.068481
0.11295
0.157419
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
PD
noise fraction=0.3, sa...
2025.10
0.0306
0.0637
0.2125
0.0925
0.3578
0.2014
A2D2E
noise fraction=0.3, sa...
2025.10
0.0886
0.1336
0.3704
0.2638
0.8381
0.2397
ALE
noise fraction=0.3, sa...
2025.10
0.1093
0.1448
0.399
0.2928
1.1314
0.2499
M
noise fraction=0.3, sa...
2025.10
0.1299
0.2021
0.3421
0.3056
1.4528
0.235
DALE
noise fraction=0.3, sa...
2025.10
0.1953
0.404
0.4835
0.5024
1.5716
0.2666
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