'Is there a better way to deal with unbalanced data than the preprocessing filter SMOTE?
I am currently working with WEKA and I would appreciate yor advice regarding preprocessing filters when it comes to unbalanced attribute data. I was previously recommended to use the SMOTE filter in order to deal with the problem. I was wondering if anyone could propose any alternative solution. The classifier I am mainly using is MultilayerPerceptron and the SMOTE filter seems to be working decently, but I would like to know if there is another possible method.
Solution 1:[1]
Cost-sensitive classification is another approach. See FAQ I have unbalanced data now what on the Weka wiki.
Sources
This article follows the attribution requirements of Stack Overflow and is licensed under CC BY-SA 3.0.
Source: Stack Overflow
| Solution | Source |
|---|---|
| Solution 1 | fracpete |