17 code implementations • 9 Jun 2011 • N. V. Chawla, K. W. Bowyer, L. O. Hall, W. P. Kegelmeyer
This paper also shows that a combination of our method of over-sampling the minority class and under-sampling the majority class can achieve better classifier performance (in ROC space) than varying the loss ratios in Ripper or class priors in Naive Bayes.
