Short presentation on model interpretation - pitfalls and scope

• Definition and introduction
• Discussion: is it achievable, is it useful, what's the difference between model interpretation and real-world interpretation
• Minimal reproducible examples using linear regression with interaction (minimal knowledge -> more predictors -> adding the interaction terms) and lightGBM
• Interpreters: coefficients interpretation and pitfalls, PDP, ICE curves, VINE, Shapley