Be Careful When Interpreting Predictive Models in Search of Causal Insights
A careful exploration of the pitfalls of trying to extract causal insights from modern predictive machine learning models.
Scott Lundberg
“Flexible predictive models… are powerful tools for solving prediction problems. However, they are not inherently causal models, so interpreting them… will fail to accurately answer causal questions in many common situations.”