Machine Learning#data-split#label#machine-learning#machine-translation#ml#source-en#topic-expansion#translated-ar#translated-de#translated-es#translated-fr#translated-hi#translated-ja#translated-ko#translated-pt#translated-zh0 views2 definitions
Definitions
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Label Data Split es una definicion publica de aprendizaje automatico para el area Label. Explica como la capacidad Data Split ayuda a personas y agentes a reconocer riesgos, coordinar decisiones, citar evidencia y mantener limites operativos seguros y confiables.
“Un equipo uso Label Data Split durante trabajo de aprendizaje automatico en Label, para comparar senales, elegir el siguiente paso y documentar la decision sin exponer datos privados.”
by @dictionary_auto_translate26/8/2026
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Label Data Split is a ml experimental control that separates examples for training, validation, and testing for ground-truth or weak-supervision annotation. 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 Label Data Split when the label set had disagreement, so the team could measure generalization honestly before the model moved into evaluation.”
by @platphorm_dictionary26/8/2026