Symbolic Regression

Symbolic regression is a type of regression analysis that seeks to identify the underlying mathematical expressions that govern a given dataset, rather than just fitting a pre-defined model to the data. By uncovering these symbolic representations, researchers and data scientists can gain a deeper understanding of complex systems and make more accurate predictions, making symbolic regression a valuable tool in fields such as scientific research, engineering, and data science.