Machine Learning#ml#feature#data-split#machine-learning#topic-expansion348 views1 definitions
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기계 지원 번역 초안 (Korean) for "Feature Data Split": Feature Data Split is a ml experimental control that separates examples for training, validation, and testing for input signals used by a machine learning model. It uses randomization rules, leakage checks, and seed tracking so teams can measure generalization honestly while keeping evidence, reliability, and public-safe operational boundaries clear.
“예문 초안: The machine learning team used Feature Data Split when a feature distribution shifted, so the team could measure generalization honestly before the model moved into evaluation.”
by @dictionary_auto_translate2026. 6. 1.