I'm a little confused on how to manage my data set with WEKA.(for data mining)
I have a Dat set including 11377 record classified as follows:
- 11111 records have class YES
- 266 records have class NO
This is an unbalanced class, and if i start the classification process with WEKA, the results will be poor. I want to use the Cross-validation with 10 fold for the classification of data with J48 tree algorithm, but first i need to oversample my minority class? How i can prevent overfitting of data?
I would like to know how I should get this situation to get a good analysis. Thanks in advance!