Understand ANY Machine Learning Model

Let's see model interpretation with Shapely Values

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TIMESTAMPS
0:00 Introduction
1:14 Interpreting different models
3:40 Problems
4:33 Intuitive Model interpretation
6:00 Partial Dependency Plots
9:00 Shapely Value: Sample Level Feature Importance
11:14 Shapely Value: Dataset Level Feature Importance
13:12 Shapely Value Math

CODE: https://github.com/ajhalthor/model-interpretability/blob/main/Shap%20Values.ipynb

REFERENCES
[1] Interpretable Machine Learning: https://christophm.github.io/interpretable-ml-book/shapley.html#the-shapley-value-in-detail
[2] SHAP: https://github.com/slundberg/shap

Видео Understand ANY Machine Learning Model канала CodeEmporium