Random Classifier on VCBench
Random Classifier scores F0.5 9.0 on VCBench, the venture capital benchmark from the University of Oxford and Vela Research, with 9.0% precision and 9.0% recall on the 4,500-founder private test set. That is rank 31 of 32.
- Rank
- #31 of 32
- F0.5
- 9.0
- Precision
- 9.0%
- Recall
- 9.0%
- Cost / 1k founders
- $0
Scored on the 4,500-founder private test set, mean over three folds. That is 0.8× the F0.5 of tier-1 VCs. See the full leaderboard.
Compared with the reference rows
| Entry | Precision | Recall | F0.5 | Cost / 1k |
|---|---|---|---|---|
| Random Classifier | 9.0% | 9.0% | 9.0 | $0 |
| Think-Reason-Learn Ensemble | 40.6% | 30.1% | 37.9 | $0.87 |
| Tier-1 VCs | 23.0% | 5.2% | 10.7 | n/a |
| Y Combinator | 14.0% | 6.9% | 8.6 | n/a |
Human rows are normalized to the dataset's 9% success rate, so every entry is compared on the same base rate. Costs use list prices on 2026-09-24.
How it was scored
A random classifier that predicts success at the dataset's 9% base rate. Its precision, recall and F0.5 are all 9.0 by construction, which is the floor every model must beat. The market index of all early-stage bets sits below it after normalization.
Read more
- Introducing VCBench, the First Benchmark for Venture Capital: VCBench, the first benchmark for venture capital, tests LLMs and human investors on predicting founder success across 9,000 anonymized profiles.
Frequently asked questions
- What does the Random Classifier score on VCBench?
- Random Classifier scores F0.5 9.0 on VCBench, with 9.0% precision and 9.0% recall, rank 31 of 32 as of 2026-10-07.
- Why is the Random Classifier on the leaderboard?
- A random classifier that predicts success at the dataset's 9% base rate. Its precision, recall and F0.5 are all 9.0 by construction, which is the floor every model must beat. The market index of all early-stage bets sits below it after normalization.