Shapley Values: Marginal Contributions over Every Order & the Weighted Formula
This lesson is part of the course
In this lesson
You let three features join in all six possible orders, record each feature's marginal contribution, average them into exact Shapley values, recompute one with the coalition-size weights and confirm that the three values add up to the total to explain.
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Lessons in this course
- Baseline & Contributions: Explaining a Linear Score Feature by Feature Locked
- Coalitions: All Eight Feature Subsets & the Model Output for Each Locked
- Shapley Values: Marginal Contributions over Every Order & the Weighted Formula Locked
- Interactions: How Shapley Splits an Effect Two Features Create Together Locked
- Permutation Importance: How Much Worse the Model Gets When a Column Is Shuffled Locked
- Partial Dependence & ICE Curves: One Feature Across the Whole Fleet Locked
- Counterfactuals: The Smallest Change That Flips a Decision Locked
- The Explanation Report: Global vs Local, Stability & Limitations Locked