Model 1 performance for each fold of training and testing.

<p> Model 1 performance for each fold of training and testing. </p>

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Bibliographic Details
Main Author:	Jamison H. Burks (21029607) (author)
Other Authors:	Leslie Joe (21029610) (author), Karina Kanjaria (21029613) (author), Carlos Monsivais (21029616) (author), Kate O'laughlin (21029619) (author), Benjamin L. Smarr (10689563) (author)
Published:	2025
Subjects:	Genetics Biological Sciences not elsewhere classified Mathematical Sciences not elsewhere classified Chemical Sciences not elsewhere classified Information Systems not elsewhere classified timescale complexity index high temporal resolution predict glycemic excursion make informed decisions box xgboost model glucose across days glycemic stability comes computationally efficient multi term glycemic dysregulation relatively long time longer time horizons glycemic stability xgboost prediction informed features track glucose blood glucose tissue damage near future metabolic health findings support explainable features continuous data commercially available algorithms processing additional information
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