Does Model Diversity Actually Matter in an ML Ensemble?
Why combining different models doesn't guarantee a better ensemble: correlated errors, complementarity, underfitting, and validation on the full system.
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Building a Temporal ML Ranking System Without Data Leakage
How to avoid data leakage in a temporal ML ranking system: future-only validation, OOF predictions, stacking, and calibration.
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