Symbolic Regression In The Context Of Machine Learning
A type of regression analysis that searches for mathematical expressions that best fit a given dataset, used in machine learning to discover the underlying mathematical model that describes the data, particularly useful for understanding complex relationships and making predictions.
Areas of application
- Machine Learning
- Data Analysis
- Mathematical Modeling
- Statistics
Example
Using symbolic regression to identify the equation of a line that best fits a dataset of exercise weights and distances runned.