Breaking open the ML black box: SHAP vs. LIME

#N1B3V58

References

1. https://medium.com/cmotions/opening-the-black-box-of-machine-learning-models-shap-vs-lime-for-model-explanation-d7bf545ce15f

2. https://medium.com/biased-algorithms/shap-values-explained-08764ab16466#:~:text=SHAP%20(SHapley%20Additive%20exPlanations)%20is,contribution%20to%20the%20final%20output

3. Zhen, J., Li, J., Liao, F., et al. (2024). Development and validation of machine learning models for young-onset colorectal cancer risk stratification. npj Precision Oncology, 8, 239.

Created with curiosity, this content is part of my ongoing learning. While I try to keep it current, some details may be simplified. Always good to explore further and cross-check with other sources!