Measuring feature importance of symbolic regression models using partial effects.
Guilherme Seidyo Imai AldeiaFabrício Olivetti de FrançaPublished in: GECCO (2021)
Keyphrases
- regression model
- feature importance
- regression analysis
- random forest
- regression methods
- generalized linear models
- linear model
- prediction model
- model selection
- linear regression model
- interval valued data
- regression trees
- software effort
- generalized linear
- explanatory variables
- target variable
- survival analysis
- feature selection
- independent variables
- semi supervised
- decision trees
- regression method
- neural network