Feature Attribution & Explainability

Advanced

Master feature attribution methods for explainable AI. Learn leave-one-out ablation, integrated gradients, SHAP values, and additive attribution to understand which features drive model predictions.

90 min Lab: notebook 5 objectives 4 evidence types
Open Interactive Lab
90
Minutes
5
Objectives
4
Evidence Types
4
Success Criteria

Case Narrative

Learning Objectives

1
Understand the attribution problem and desirable axioms
2
Apply leave-one-out ablation for feature importance
3
Compute integrated gradients along interpolation paths
4
Approximate Shapley values for cooperative game attribution
5
Compare and choose attribution methods for different contexts

Required Evidence

Loo Analysis Not collected yet
Gradient Attribution Not collected yet
Shapley Approximation Not collected yet
Method Comparison Not collected yet

Case Details

Difficulty
Advanced
Duration
90 min
Lab Type
notebook
Slug
feature-attribution

Prerequisites

No prerequisites - open to all

Success Criteria

Methods Compared Required
Integrated Gradients Applied Required
Loo Computed Required
Shapley Approximated Required

Tags