Add market-model comparison to the model card
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README.md
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## Evaluation
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Validated domain: U.S. party primary and nomination questions with settled outcomes.
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| Historical base rate only | 0.239 | 0.513 | 62.7% |
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| **yarrow-forecast** | **0.175β0.185** | **0.81** | **72.7β76.0%** |
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A
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## License
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## Evaluation
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Validated domain: U.S. party primary and nomination questions with settled outcomes. Same questions, same evidence, same outcomes. Each model answered in its own setup. yarrow-forecast answered all 150.
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| Model | Brier β | AUC β | Directional accuracy | Answered |
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| **yarrow-forecast** | **0.175** | **0.81** | **76.0%** | **150** |
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| Claude Sonnet 4.6 | 0.171 | 0.84 | 70.1% | 117 |
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| GPT-5.5 | 0.185 | 0.87 | 65.5% | 148 |
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| Historical base rate | 0.239 | 0.51 | 62.7% | 150 |
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| GPT-5.4-mini | 0.242 | 0.51 | 62.4% | 149 |
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| OpenForecaster-8B | 0.265 | 0.72 | 61.3% | 93 |
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Directional accuracy on the full set is **76.0%**, above Claude Sonnet 4.6 (70.1%) and GPT-5.5 (65.5%). Brier is **0.175**, below GPT-5.5 (0.185), GPT-5.4-mini (0.242), and OpenForecaster-8B (0.265), and about 24% lower than the historical base rate (0.239). Across five out-of-sample fold splits the Brier stays in **0.175β0.185** and directional accuracy in **72.7β76.0%**. Abstention is 0%.
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Claude Sonnet 4.6 scores 0.171 Brier on the 117 questions it returned. OpenForecaster-8B's 93 questions are the ones it returned. Unanswered items were left unanswered.
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A later set of 166 settled questions from the same category scores **0.1653** Brier (95% interval 0.136β0.200, clustered by election night).
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With the question and the resolution rule alone, AUC is about 0.51. With the evidence supplied, AUC is **0.808**.
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## License
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