Accuracies of Training Labels and Machine Learning Models: Experiments on Delirium and Simulated Data
Sign Up to like & getrecommendations! Published in 2022 at "Studies in health technology and informatics"
DOI: 10.3233/shti220161
Abstract: Supervised predictive models require labeled data for training purposes. Complete and accurate labeled data is not always available, and imperfectly labeled data may need to serve as an alternative. An important question is if the… read more here.
Keywords: accuracies training; training labels; labeled data; labels machine ... See more keywords