Тип публикации: доклад, тезисы доклада, статья из сборника материалов конференций
Конференция: Applied Methods of Statistical Analysis. Statistical Computation and Simulation - AMSA'2019; Novosibirsk; Novosibirsk
Год издания: 2019
Ключевые слова: classi cation, machine learning, visualization, violin plot, bootstrapping
Аннотация: The work is devoted to the problem of acute pancreatitis severity classi - cation. This problem is characterized by a small amount of data, which leads to unstable estimations for new patients and a strong inuence of the training sample on the predictions. In this paper prediction stability visualization based on violin plot is proposed and applied. A simulation experiments are carried out to study the stability of linear regression, support vector machine, random forest trained with various subsets.
Издание
Журнал: Applied Methods of Statistical Analysis. Statistical Computation and Simulation - AMSA'2019
Номера страниц: 278-285
Место издания: Novosibirsk
Издатель: Новосибирский государственный технический университет
Персоны
- Mangalova Ekaterina (LLC RD-Science)
- Chubarova Olesya (Siberian Federal University)
- Melekh Daniil (Siberian Federal University)
- Stroev Anton (Krasnoyarsk State Medical University named after Prof. V.F.Voino-Yasenetsky)
Вхождение в базы данных
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