Oversampling wrapper

Oversampling wrapper

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)
#> [1] "0 samples filtered by NEATER"
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")
#> [1] "SLS done"