Hyperparameter-Tuning on The Standard Errorhttps://jongha-jeon-dev.github.io/standarderror/tags/hyperparameter-tuning/Recent content in Hyperparameter-Tuning on The Standard ErrorHugo -- 0.123.7en-gbTue, 13 Oct 2026 00:00:00 +0000ML 35: The Best Cross-Validated Score Is the Search's Best Luckhttps://jongha-jeon-dev.github.io/standarderror/lectures/ml-35-tuning/Tue, 13 Oct 2026 00:00:00 +0000https://jongha-jeon-dev.github.io/standarderror/lectures/ml-35-tuning/Cross-validation estimates one model fairly. The best of many cross-validated scores is the maximum of noisy estimates, and it overstates the model it picks.