1.6: References

[1] https://github.com/statguyuser/feature_engineering_and_selection_for_explanable_models

[2] Nuno Antonio, Ana de Almeida, Luis Nunes, Hotel booking demand datasets, Data in Brief, Volume 22, 2019, Pages 41-49, ISSN 2352-3409, https://doi.org/10.1016/j.dib.2018.11.126.

[3] https://www.kaggle.com/datasets/nehalbirla/vehicle-dataset-from-cardekho?select=Car+details+v3.csv

[4] Wang, Tong, Cynthia Rudin, Finale Doshi-Velez, Yimin Liu, Erica Klampfl, and Perry MacNeille. 'A bayesian framework for learning rule sets for interpretable classification.' The Journal of Machine Learning Research 18, no. 1 (2017): 2357-2393.

[5] Kristian Hovde Liland, Bj rn-Helge Mevik, Elling-Olav Rukke, Trygve Alm y, Morten Skaugen and Tomas Isaksson (2009) Quantitative whole spectrum analysis with MALDI-TOF MS, Part I: Measurement optimisation. Chemometrics and Intelligent Laboratory Systems, 96(2), 210 218.

[6] P. S. Reynolds (1994) Time-series analyses of beaver body temperatures. Chapter 11 of Lange, N., Ryan, L., Billard, L., Brillinger, D., Conquest, L. and Greenhouse, J. eds (1994) Case Studies in Biometry. New York: John Wiley and Sons.