Factual Accuracy Estimation on Real-data Factual Gemini responses
66.37Original AccuracyLogistic Regression
Evaluation results
| Method | Links | ||||
|---|---|---|---|---|---|
| Logistic RegressionQuestion Type=Factual, Data=2768, Verification Budget=3%2026.06 | 66.37 | 59.14 | -7.22 | 83 | |
| Multilayer PerceptronQuestion Type=Factual, Data=2768, Verification Budget=3%2026.06 | 66.37 | 62.22 | -4.15 | 83 | |
| Random ForestQuestion Type=Factual, Data=2768, Verification Budget=3%2026.06 | 66.37 | 65.29 | -1.08 | 83 | |
| Label PropagationQuestion Type=Factual, Data=2768, Verification Budget=3%2026.06 | 66.37 | 54.91 | -11.45 | 83 | |
| nnPUQuestion Type=Factual, Data=2768, Verification Budget=3%2026.06 | 66.37 | 66.03 | -0.34 | 83 | |
| AURAQuestion Type=Factual, Data=2768, Verification Budget=3%2026.06 | 66.37 | 69.21 | 2.85 | 94 |