Design an efficient hyperparameter search that improves your model without overfitting the validation set.
## CONTEXT Hyperparameter tuning can quietly overfit the validation set, burn compute on parameters that barely matter, and produce gains that vanish in production. Effective tuning prioritizes the few high-impact parameters, uses an efficient search strategy, and validates honestly with nested cross-validation or a…
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