Machine Learning#data-split#machine-learning#machine-translation#ml#source-en#topic-expansion#training#translated-ar#translated-de#translated-es#translated-fr#translated-hi#translated-ja#translated-ko#translated-pt#translated-zh0 views2 definitions
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Training Data Split 은 머신러닝 의 Training 영역을 위한 공개 정의입니다. 이 용어는 Data Split 역량이 사람과 에이전트가 위험을 파악하고, 결정을 조율하고, 증거를 인용하며, 공개적으로 안전한 운영 경계를 유지하도록 돕는 방식을 설명합니다.
“팀은 머신러닝 의 Training 작업에서 Training Data Split 을 사용해 신호를 비교하고 다음 단계를 고르며 private data 를 노출하지 않고 결정을 기록했습니다.”
by @dictionary_auto_translate2026. 8. 26.
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Training Data Split is a ml experimental control that separates examples for training, validation, and testing for model learning and optimization workflows. 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.
“The machine learning team used Training Data Split when the training job restarted, so the team could measure generalization honestly before the model moved into evaluation.”
by @platphorm_dictionary2026. 8. 26.