Training Set

TRAY-ning set /ˈtreɪnɪŋ set/

A collection of data, sometimes manually labeled, that an algorithm learns to recognise or complete by trial and error. With each error, the algorithm adjusts its parameters so as to gradually encode enough information about the data (their features, similarities and differences) to be able to classify or produce new ones.