References
For additional information, please refer to the following resources:
- "Why Should I Trust You?" Explaining the Predictions of Any Classifier by Ribeiro et al: https://arxiv.org/pdf/1602.04938.pdf
- LIME - Local Interpretable Model-Agnostic Explanations: https://homes.cs.washington.edu/~marcotcr/blog/lime/
- The LIME GitHub project: https://github.com/marcotcr/lime
- A study of data and label shift in the LIME framework by Rahnama and Boström: https://arxiv.org/abs/1910.14421
- What's Wrong with LIME: https://towardsdatascience.com/whats-wrong-with-lime-86b335f34612
- Why model why? Assessing the strengths and limitations of LIME by Dieber and Kirrane (2020): https://arxiv.org/pdf/2012.00093.pdf