Implementation of Winsorizing and random oversampling on data containing outliers and unbalanced data with the random forest classification method

Many researchers conduct research using the classification method, to find out the best method for predicting the class of an observation. Some of these studies explain that random forest is the best method. However, the classification of data containing outliers and unbalanced data is a complicated...

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Hlavní autoři:	FAHREZAL ZUBEDI, BAGUS SARTONO, KHAIRIL ANWAR NOTODIPUTRO
Médium:	Artigo
Jazyk:	Inglês
Vydáno:	Universitas Syiah Kuala, Faculty of Mathematics and Natural Science 2022-06-01
Edice:	Jurnal Natural
Témata:	winsorizing, random oversampling, interquartile range, random forest, hdi
On-line přístup:	http://jurnal.unsyiah.ac.id/natural/article/view/25499
Tagy:	Přidat tag Žádné tagy, Buďte první, kdo vytvoří štítek k tomuto záznamu!