Success Rate Prediction on MSG landscapes
0.939R2 (Cross-Validated)CMA-ES
Evaluation Results
| Method | Links | |
|---|---|---|
| CMA-ESd=10, Predictor=Random Forest regression2026.04 | 0.939 | |
| DEd=10, Predictor=Random Forest regression2026.04 | 0.901 | |
| CMA-ESd=5, Predictor=Random Forest regression2026.04 | 0.851 | |
| DEd=5, Predictor=Random Forest regression2026.04 | 0.838 | |
| CMA-ESd=2, Predictor=Random Forest regression2026.04 | 0.775 | |
| DEd=2, Predictor=Random Forest regression2026.04 | 0.638 |