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| | ====== 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]] |
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| https://colab.research.google.com/drive/1sVECrdJ2B6ZsLm7nfupJ-vP8ROWg_1k8?usp=sharing | |