3

I'm looking for imbalanced classification datasets to experiment with using synthetic data, ideally with a minor class of less than 10%. Does anyone know specific ones? Should be open to the public with no limitation of use.

2 Answers 2

3

Most multi-class datasets can be turned into skewed binary classification datasets.
For example, the default scikit-learn digits dataset contains ~10% 1 and ~90% not-1 images.

That being said, the UCI Machine Learning Repository hosts many datasets that are skewed, one that's quite skewed is this SMS spam dataset: https://archive.ics.uci.edu/ml/datasets/SMS+Spam+Collection

Another organisation that hosts free but not open datasets is kaggle, one of their datasets that's very skewed is the following:
https://www.kaggle.com/c/jigsaw-toxic-comment-classification-challenge

4
  • 1
    its not open data if you have to register, agree to terms, and give your phone number for verification.
    – albert
    Commented Jul 12, 2018 at 16:19
  • This specific dataset should be open as it consists of Wikipedia comments, however, I'll verify and possibly correct when I get home.
    – Swier
    Commented Jul 12, 2018 at 16:46
  • that process i described is this specific dataset on kaggle
    – albert
    Commented Jul 12, 2018 at 19:25
  • 1
    @albert you're right, I've added a similar open dataset.
    – Swier
    Commented Jul 13, 2018 at 8:30
0

Also found this one: https://www.kaggle.com/mlg-ulb/creditcardfraud - also taken from Kaggle.

Your Answer

By clicking “Post Your Answer”, you agree to our terms of service and acknowledge you have read our privacy policy.

Not the answer you're looking for? Browse other questions tagged or ask your own question.