K-NN Regression on Additive benchmark functions High dependence
0.0907Mean ORMSE (f0)A2D2E
Evaluation results
| Method | Links | ||||||
|---|---|---|---|---|---|---|---|
| A2D2Enoise fraction=0.3, dependence type=High2025.10 | 0.0907 | 0.1956 | 0.2967 | 0.206 | 1.5175 | 0.2217 | |
| PDnoise fraction=0.3, dependence type=High2025.10 | 0.1161 | 0.2768 | 0.3516 | 0.2038 | 1.9022 | 0.2538 | |
| ALEnoise fraction=0.3, dependence type=High2025.10 | 0.122 | 0.2111 | 0.3367 | 0.2821 | 1.6043 | 0.2451 | |
| DALEnoise fraction=0.3, dependence type=High2025.10 | 0.1985 | 0.4132 | 0.4823 | 0.4977 | 1.5721 | 0.266 | |
| Mnoise fraction=0.3, dependence type=High2025.10 | 0.3789 | 0.3893 | 0.7958 | 1.4248 | 4.305 | 1.0303 |