ubOver | R Documentation |
The function replicates randomly some instances from the minority class in order to obtain a final dataset with the same number of instances from the two classes.
ubOver(X, Y, k = 0, verbose=TRUE)
X |
the input variables of the unbalanced dataset. |
Y |
the response variable of the unbalanced dataset. It must be a binary factor where the majority class is coded as 0 and the minority as 1. |
k |
defines the sampling method. |
verbose |
print extra information (TRUE/FALSE) |
If K=0: sample with replacement from the minority class until we have the same number of instances in each class. If K>0: sample with replacement from the minority class until we have k-times the orginal number of minority instances.
The function returns a list:
X |
input variables |
Y |
response variable |
ubBalance
library(unbalanced) data(ubIonosphere) n<-ncol(ubIonosphere) output<-ubIonosphere$Class input<-ubIonosphere[ ,-n] data<-ubOver(X=input, Y= output) newData<-cbind(data$X, data$Y)
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