Prediction with expert advice on COVID-19 hospitalization data (California)
66.23Average GainBest Linear Model
Evaluation Results
| Method | Links | |
|---|---|---|
| Best Linear ModelPrivacy Level (mu)=inf2025.12 | 66.23 | |
| Best Linear ModelPrivacy Level (mu)=12025.12 | 61.16 | |
| RW-MetaPrivacy Level (mu)=inf2025.12 | 59.36 | |
| RW-MetaPrivacy Level (mu)=12025.12 | 55.62 | |
| Best Linear ModelPrivacy Level (mu)=0.52025.12 | 54.21 | |
| RW-MetaPrivacy Level (mu)=0.52025.12 | 47.43 | |
| Best Linear ModelPrivacy Level (mu)=0.252025.12 | 38.43 | |
| RW-MetaPrivacy Level (mu)=0.252025.12 | 33.34 | |
| Agarwal (Min Noise)Privacy Level (mu)=inf2025.12 | 31.12 | |
| Agarwal (Min Noise)Privacy Level (mu)=12025.12 | 25.09 | |
| Agarwal (Min Noise)Privacy Level (mu)=0.52025.12 | 22.14 | |
| Agarwal (Min Noise)Privacy Level (mu)=0.252025.12 | 17.93 | |
| Agarwal (Min Regret)Privacy Level (mu)=12025.12 | 16.91 | |
| Agarwal (Min Regret)Privacy Level (mu)=0.252025.12 | 16.84 | |
| Agarwal (Min Regret)Privacy Level (mu)=0.52025.12 | 16.82 | |
| Agarwal (Min Regret)Privacy Level (mu)=inf2025.12 | 16.68 |