References

Breiman, Leo, Jerome H. Friedman, R. A. Olshen, and C. J. Stone. 1984. Classification and Regression Trees. Chapman & Hall.

James, Gareth, Daniela Witten, Trevor Hastie, and Robert Tibshirani. 2021. An Introduction to Statistical Learning: With Applications in R. Springer Texts in Statistics. New York, NY: Springer US. https://doi.org/10.1007/978-1-0716-1418-1.

Muschelli, John. 2020. “ROC and AUC with a Binary Predictor: A Potentially Misleading Metric.” Journal of Classification 37 (3): 696–708. https://doi.org/10.1007/s00357-019-09345-1.

Scott, David W. 1992. Multivariate Density Estimation: Theory, Practice, and Visualization. 1st edition. New York: John Wiley & Sons.

Shmueli, Galit, Peter C. Bruce, Peter Gedeck, Inbal Yahav, and Nitin R. Patel. 2023. “Machine Learning for Business Analytics: Concepts, Techniques, and Applications in R, 2nd Edition | Wiley.” Wiley.com. https://www.wiley.com/en-us/Machine+Learning+for+Business+Analytics%3A+Concepts%2C+Techniques%2C+and+Applications+in+R%2C+2nd+Edition-p-9781119835172.

Silverman, B. W. 1986. Density Estimation for Statistics and Data Analysis. Boca Raton: Chapman and Hall.

Trifonova, Oxana, Petr Lokhov, and A. I. Archakov. 2014. “Metabolic Profiling of Human Blood.” Biomeditsinskaya Khimiya 60 (May): 281–94. https://doi.org/10.18097/pbmc20146003281.

Wickham, Hadley. 2011. “The Split-Apply-Combine Strategy for Data Analysis.” Journal of Statistical Software 40 (April): 1–29. https://doi.org/10.18637/jss.v040.i01.

Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023. “R for Data Science (2e).” https://r4ds.hadley.nz/.

Wilkinson, G. N., and C. E. Rogers. 1973. “Symbolic Description of Factorial Models for Analysis of Variance.” Journal of the Royal Statistical Society. Series C (Applied Statistics) 22 (3): 392–99. https://doi.org/10.2307/2346786.

Wilkinson, Leland. 2005. The Grammar of Graphics. Statistics and Computing. New York: Springer-Verlag. https://doi.org/10.1007/0-387-28695-0.

Wolpert, David H. 1992. “Stacked Generalization.” Neural Networks 5 (2): 241–59. https://doi.org/10.1016/S0893-6080(05)80023-1.

Zou, Hui, Trevor Hastie, and Robert Tibshirani. 2006. “Sparse Principal Component Analysis.” Journal of Computational and Graphical Statistics 15 (2): 265–86. https://www.jstor.org/stable/27594179.