Bayesian Optimization on Lipo (canonical train pool)
3.95Final Best MeanBagging
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| BaggingAcquisition=greedy, Initial subset size=50, Budget=10, T=20, K=52026.05 | 3.95 | 0.089 | 1.5 | 52 | |
| ERMAcquisition=greedy, Initial subset size=50, Budget=10, T=202026.05 | 3.94 | 0.082 | 1.4 | 37 | |
| Twin-bootstrapAcquisition=greedy, Initial subset size=50, Budget=10, T=20, λ=32026.05 | 3.91 | 0.045 | 0.7 | 47 |