Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Computer Data Analysis and Modeling: Stochastics and Data Science; Minsk; Minsk
Год издания: 2019
Ключевые слова: Data Science, small sample, prediction, acute pancreatitis severity
Аннотация: The small sample size problem is often encountered in data analysis, especially for medical applications. It leads to unstable predictions when including or excluding several observations could change prediction significantly. Prediction stability visualization and measure were proposed and applied to estimation of acute pancreatitis severity. A simulation experiments were carried out to study the stability of ridge-regression, SAM. random forest trained with various subsets
Издание
Журнал: Computer Data Analysis and Modeling: Stochastics and Data Science
Номера страниц: 232-236
Издатель: Белорусский государственный университет
Персоны
- Mangalova E. (Siberian Federal University)
- Chubarova O. (Siberian Federal University)
- Melekh D. (Siberian Federal University)
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