Let’s see model interpretation with Shapely Values

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 Values.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

#machine-learning

Interpret ANY Machine Learning Model
1.80 GEEK