INFLUENCE OF THE TRAINING SET ON THE PREDICTION STABILITY IN ESTIMATION OF ACUTE PANCREATITIS SEVERITY : доклад, тезисы доклада

Описание

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 pancreatitПоказать полностьюis severity. A simulation experiments were carried out to study the stability of ridge-regression, SAM. random forest trained with various subsets

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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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