References
To gain additional information about the topics in this chapter, please refer to the following resources:
- Friedman, Jerome H. "Greedy function approximation: A gradient boosting machine." Annals of statistics (2001): https://www.researchgate.net/publication/280687718_Greedy_Function_Approximation_A_Gradient_Boosting_Machine
- Identifying outliers with the 1.5xIQR rule: https://www.khanacademy.org/math/statistics-probability/summarizing-quantitative-data/box-whisker-plots/a/identifying-outliers-iqr-rule
- Nelson rules: https://www.leansixsigmadefinition.com/glossary/nelson-rules/
- Accumulated Local Effects (ALE) – Feature Effects Global Interpretability: https://www.analyticsvidhya.com/blog/2020/10/accumulated-local-effects-ale-feature-effects-global-interpretability/
- Model-Agnostic Local Explanations using Individual Conditional Expectation (ICE) Plots: https://towardsdatascience.com/how-to-explain-and-affect-individual-decisions-with...