Measuring feature importance of symbolic regression models using partial effects

Guilherme Seidyo Imai Aldeia, Fabrício Olivetti de França. Measuring feature importance of symbolic regression models using partial effects. In Francisco Chicano, Krzysztof Krawiec, editors, GECCO '21: Genetic and Evolutionary Computation Conference, Lille, France, July 10-14, 2021. pages 750-758, ACM, 2021. [doi]

@inproceedings{AldeiaF21,
  title = {Measuring feature importance of symbolic regression models using partial effects},
  author = {Guilherme Seidyo Imai Aldeia and Fabrício Olivetti de França},
  year = {2021},
  doi = {10.1145/3449639.3459302},
  url = {https://doi.org/10.1145/3449639.3459302},
  researchr = {https://researchr.org/publication/AldeiaF21},
  cites = {0},
  citedby = {0},
  pages = {750-758},
  booktitle = {GECCO '21: Genetic and Evolutionary Computation Conference, Lille, France, July 10-14, 2021},
  editor = {Francisco Chicano and Krzysztof Krawiec},
  publisher = {ACM},
  isbn = {978-1-4503-8350-9},
}