Understand ANY Machine Learning Model
Channel: CodeEmporium
Date: 2021-05-03

Let's see model interpretation with Shapely Values

Follow me on M E D I U M: https://towardsdatascience.com/likelihood-probability-and-the-math-you-should-know-9bf66db5241b

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