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  1. 1. The influence of data annotation process requirements on performance criteria of ML models

    Kandidat-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

    Författare :Maab Mohammedali; Muntasir Adam; [2023-08-03]
    Nyckelord :;

    Sammanfattning : The data annotation process is a critical step in the development of machine learning (ML) models, as it entails labeling data to help supervised learning. This study investigates the impact of data annotation process requirements on the performance of ML models. LÄS MER