ubOSS | R Documentation |
One Side Selection is an undersampling method resulting from the application of Tomek links followed by the application of Condensed Nearest Neighbor.
ubOSS(X, Y, 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. |
verbose |
print extra information (TRUE/FALSE) |
In order to compute nearest neighbors, only numeric features are allowed.
The function returns a list:
X |
input variables |
Y |
response variable |
M. Kubat, S. Matwin, et al. Addressing the curse of imbalanced training sets: one-sided selection. In MACHINE LEARNING-INTERNATIONAL WORKSHOP THEN CONFERENCE-, pages 179-186. MORGAN KAUFMANN PUBLISHERS, INC., 1997.
ubBalance
library(unbalanced) data(ubIonosphere) n<-ncol(ubIonosphere) output<-ubIonosphere$Class input<-ubIonosphere[ ,-n] data<-ubOSS(X=input, Y= output) newData<-cbind(data$X, data$Y)
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