====== Lab5: Local model-agnostic approaches ======
===== Resources =====
  * Colab: [[https://colab.research.google.com/drive/1sVECrdJ2B6ZsLm7nfupJ-vP8ROWg_1k8?usp=sharing|Colab]]
  * Additional reading:
    * [[https://christophm.github.io/interpretable-ml-book/local-methods.html|Interpretable ML: Chapter 9]]
    * [[https://leanpub.com/shap|Interpreting Machine Learning Models With SHAP]]
    * [[https://arxiv.org/abs/1602.04938|(LIME) "Why Should I Trust You?": Explaining the Predictions of Any Classifier]]
    * [[https://arxiv.org/abs/1705.07874|(KernelSHAP) A Unified Approach to Interpreting Model Predictions]]
    * [[https://arxiv.org/abs/1802.03888|(TreeSHAP) Consistent Individualized Feature Attribution for Tree Ensembles]]