oversample: Oversampling wrapper

In smartdata: Data Preprocessing

Description

Oversampling wrapper

Usage

oversample(dataset, method, class_attr = "Class", ...)

Arguments

dataset	we want to perform oversampling on
method	selected method of oversampling
class_attr	character. Indicates the class attribute or attributes from dataset. Must exist in it.
...	Further arguments for method

Value

An oversampled dataset

Examples

library("smartdata")
data(iris0, package = "imbalance")

super_iris <- oversample(iris0, method = "MWMOTE", class_attr = "Class",
                         ratio = 0.8, filtering = TRUE)
super_iris <- oversample(iris0, method = "SMOTE", class_attr = "Class", ratio = 0.6)
super_iris <- oversample(iris0, method = "PDFOS", class_attr = "Class", ratio = 0.6)
super_iris <- oversample(iris0, method = "RWO", class_attr = "Class", ratio = 0.8)
super_iris <- oversample(iris0, method = "SLMOTE", class_attr = "Class")

smartdata documentation built on Dec. 19, 2019, 1:08 a.m.