Coalitions: All Eight Feature Subsets & the Model Output for Each
This lesson is part of the course
In this lesson
You build all eight coalitions of three features for one machine, let absent features fall back to the fleet baseline, score every mix with a toy model that has an interaction term and measure the total effect that the explanation has to share out.
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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