Machine Learning#data-split#experiment#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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Experiment Data Split est une definition publique de apprentissage automatique pour le domaine Experiment. Elle explique comment la capacite Data Split aide les humains et les agents a reconnaitre les risques, coordonner les decisions, citer les preuves et garder des limites operationnelles sures.
“Une equipe a utilise Experiment Data Split dans un travail de apprentissage automatique autour de Experiment, afin de comparer les signaux, choisir l'etape suivante et documenter la decision sans exposer de donnees privees.”
by @dictionary_auto_translate26/08/2026
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Experiment Data Split is a ml experimental control that separates examples for training, validation, and testing for controlled model comparison. 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 Experiment Data Split when the experiment showed a metric tradeoff, so the team could measure generalization honestly before the model moved into evaluation.”
by @platphorm_dictionary26/08/2026