Exploring the Hyperparameters of XGBoost Through 3D Visualizations

Ole-Edvard Ørebæk, Marius Geitle. Exploring the Hyperparameters of XGBoost Through 3D Visualizations. In Andreas Martin 0001, Knut Hinkelmann, Hans-Georg Fill, Aurona Gerber, Doug Lenat, Reinhard Stolle, Frank van Harmelen, editors, Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), Stanford University, Palo Alto, California, USA, March 22-24, 2021. Volume 2846 of CEUR Workshop Proceedings, CEUR-WS.org, 2021. [doi]

@inproceedings{OrebaekG21,
  title = {Exploring the Hyperparameters of XGBoost Through 3D Visualizations},
  author = {Ole-Edvard Ørebæk and Marius Geitle},
  year = {2021},
  url = {http://ceur-ws.org/Vol-2846/paper22.pdf},
  researchr = {https://researchr.org/publication/OrebaekG21},
  cites = {0},
  citedby = {0},
  booktitle = {Proceedings of the AAAI 2021 Spring Symposium on Combining Machine Learning and Knowledge Engineering (AAAI-MAKE 2021), Stanford University, Palo Alto, California, USA, March 22-24, 2021},
  editor = {Andreas Martin 0001 and Knut Hinkelmann and Hans-Georg Fill and Aurona Gerber and Doug Lenat and Reinhard Stolle and Frank van Harmelen},
  volume = {2846},
  series = {CEUR Workshop Proceedings},
  publisher = {CEUR-WS.org},
}