We aren't currently maintaining Metaforecast. We hope to do so again in the future.
Symbolic regression looks for concise, human readable mathematical expressions to describe functional dependences in data. Ultimately a very effective symbolic regression technique can be conceived of as a system for automatic discovery of physical laws, given suitable data. The current state of the art for symbolic regression is based on genetic algorithms, see e.g. PySR https://github.com/MilesCranmer/PySR
Will we see a major breakthrough in symbolic regression in terms of speed, ease of use, robustness to noise or other dimensions by Dec 31, 2025?
Resolution is subjective so I won't bet on this market.
| Indicator | Value |
|---|---|
| Stars | ★★☆☆☆ |
| Platform | Manifold Markets |
| Forecasters | 12 |
| Volume | M375 |
Symbolic regression looks for concise, human readable mathematical expressions to describe functional dependences in data. Ultimately a very effective symbolic regression technique can be conceived of as a system for automatic discovery of physical...