Practice - SHAP (SHapley Additive exPlanations)
Enroll to start learning
You’ve not yet enrolled in this course. Please enroll for free to listen to audio lessons, classroom podcasts and take practice test.
Practice Questions
Test your understanding with targeted questions
What does SHAP stand for?
💡 Hint: What does the acronym SHAP mean?
What is the main purpose of SHAP?
💡 Hint: Why do we use SHAP in model interpretation?
4 more questions available
Interactive Quizzes
Quick quizzes to reinforce your learning
What does SHAP represent?
💡 Hint: What are the first letters of those words?
True or False: SHAP is solely applicable to decision trees.
💡 Hint: Think about the definition of model-agnostic.
1 more question available
Challenge Problems
Push your limits with advanced challenges
Consider a model predicting customer churn based on features such as age, tenure, and service usage. Use SHAP to explain how each feature influences the prediction for a specific customer.
💡 Hint: Think about the individual contribution of each feature and how they add up.
Using SHAP, create a tutorial on interpreting feature importance in a machine learning model for credit scoring. Include examples and potential implications of trust.
💡 Hint: Focus on how the explanations can help users understand and trust the prediction.
Get performance evaluation
Reference links
Supplementary resources to enhance your learning experience.