gashaker commited on
Commit
8ddcd6f
Β·
verified Β·
1 Parent(s): 9ebcba2

Add market-model comparison to the model card

Browse files
Files changed (1) hide show
  1. README.md +13 -9
README.md CHANGED
@@ -75,20 +75,24 @@ ps = model.forecast_batch([
75
 
76
  ## Evaluation
77
 
78
- Validated domain: U.S. party primary and nomination questions with settled outcomes. This is the category where both checks passed β€” a closed-book probe, and in-domain cross-validation.
79
 
80
- On 150 questions across 33 election nights, scored out of sample over five fold splits:
 
 
 
 
 
 
 
81
 
82
- | | Brier ↓ | AUC ↑ | Directional accuracy |
83
- |---|---:|---:|---:|
84
- | Historical base rate only | 0.239 | 0.513 | 62.7% |
85
- | **yarrow-forecast** | **0.175–0.185** | **0.81** | **72.7–76.0%** |
86
 
87
- Brier improves about 24% relative to the base rate. Abstention is 0%. Every fold lands in the same band.
88
 
89
- A separate set of 166 settled questions, built independently of that cross-validation, scores **0.1653** Brier (95% interval 0.136–0.200, clustered by election night).
90
 
91
- The model is using the evidence it is given. With the question and the resolution rule alone, AUC is about 0.51, in line with chance. With the evidence supplied, AUC is **0.808**.
92
 
93
  ## License
94
 
 
75
 
76
  ## Evaluation
77
 
78
+ 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.
79
 
80
+ | Model | Brier ↓ | AUC ↑ | Directional accuracy | Answered |
81
+ |---|---:|---:|---:|---:|
82
+ | **yarrow-forecast** | **0.175** | **0.81** | **76.0%** | **150** |
83
+ | Claude Sonnet 4.6 | 0.171 | 0.84 | 70.1% | 117 |
84
+ | GPT-5.5 | 0.185 | 0.87 | 65.5% | 148 |
85
+ | Historical base rate | 0.239 | 0.51 | 62.7% | 150 |
86
+ | GPT-5.4-mini | 0.242 | 0.51 | 62.4% | 149 |
87
+ | OpenForecaster-8B | 0.265 | 0.72 | 61.3% | 93 |
88
 
89
+ 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 **0.175–0.185** and directional accuracy in **72.7–76.0%**. Abstention is 0%.
 
 
 
90
 
91
+ 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.
92
 
93
+ A later set of 166 settled questions from the same category scores **0.1653** Brier (95% interval 0.136–0.200, clustered by election night).
94
 
95
+ With the question and the resolution rule alone, AUC is about 0.51. With the evidence supplied, AUC is **0.808**.
96
 
97
  ## License
98