Get startedGet started for free

SMOTE

When using SMOTE to over-sample the class of fraud cases, you have to decide on the number of nearest neighbors that are taken into account and how many synthetic fraud cases to create. The following exercises will guide you in using SMOTE.

The dataset creditcard and the libraries smotefamily and ggplot2 are already loaded in your workspace. Remember that the dup_size parameter answers the question how many times SMOTE should loop through the existing, real fraud cases.

This exercise is part of the course

Fraud Detection in R

View Course

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Set the number of fraud and legitimate cases, and the desired percentage of legitimate cases
n0 <- ___; n1 <- ___; r0 <- ___
Edit and Run Code