Adaptive Querying on Synthetic users N = 20,000 (test)
1.006Log Loss
random
Updated 1mo ago
Evaluation Results
| Method | Links | |
|---|---|---|
2026.05 | 1.006 | |
2026.05 | 1.006 | |
2026.05 | 1.006 | |
2026.05 | 1.006 | |
2026.05 | 1.011 | |
2026.05 | 1.026 | |
2026.05 | 1.029 | |
2026.05 | 1.031 | |
2026.05 | 1.034 | |
2026.05 | 1.043 | |
2026.05 | 1.055 | |
2026.05 | 1.056 | |
2026.05 | 1.057 | |
2026.05 | 1.059 | |
2026.05 | 1.068 | |
2026.05 | 1.07 | |
2026.05 | 1.074 | |
2026.05 | 1.074 | |
2026.05 | 1.077 | |
2026.05 | 1.08 | |
2026.05 | 1.084 | |
2026.05 | 1.089 | |
2026.05 | 1.094 | |
2026.05 | 1.095 | |
2026.05 | 1.097 | |
2026.05 | 1.104 | |
2026.05 | 1.109 | |
2026.05 | 1.115 | |
2026.05 | 1.141 | |
2026.05 | 1.145 | |
2026.05 | 1.146 | |
2026.05 | 1.146 | |
2026.05 | 1.149 | |
2026.05 | 1.152 | |
2026.05 | 1.154 | |
2026.05 | 1.156 | |
2026.05 | 1.157 | |
2026.05 | 1.164 | |
2026.05 | 1.167 | |
2026.05 | 1.181 | |
2026.05 | 1.186 | |
2026.05 | 1.187 | |
2026.05 | 1.19 | |
2026.05 | 1.194 | |
2026.05 | 1.196 | |
2026.05 | 1.199 | |
2026.05 | 1.199 | |
2026.05 | 1.206 | |
2026.05 | 1.207 | |
2026.05 | 1.225 | |
2026.05 | 1.231 | |
2026.05 | 1.265 | |
2026.05 | 1.283 | |
2026.05 | 1.286 | |
2026.05 | 1.318 | |
2026.05 | 1.338 |