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cs.LG2023
A Probabilistic Method to Predict Classifier Accuracy on Larger Datasets given Small Pilot Data
Ethan Harvey, Wansu Chen, David M. Kent +1
Practitioners building classifiers often start with a smaller pilot dataset and plan to grow to larger data in the near future. Such projects need a toolkit for extrapolating how m…
cs.LG2023
A Comparative Analysis of Machine Learning Models for Early Detection of Hospital-Acquired Infections
Ethan Harvey, Junzi Dong, Erina Ghosh +1
As more and more infection-specific machine learning models are developed and planned for clinical deployment, simultaneously running predictions from different models may provide…