Testing Super Learner’s Coverage - A Note To Myself

Testing Super Learner with TMLE showed some interesting patterns 🤔 XGBoost + random forest only hit ~54% coverage, but tuned xgboost + GLM reached ~90%. Seems like pairing flexible learners with stable (even misspecified) models helps? Need to explore this more with different setups 📊