A LITTLE HELP FOR YOUR NEXT TASK
Class Balance & Resampling
Inspect class counts and resample training records reproducibly.
Private by design
Your inputs stay on your device and are not sent to our servers. Optional usage analytics does not receive your files or tool inputs.
Preparing private data workspace…
How to use Class Balance & Resampling
- Open or paste your data, or load the working sample.
- Choose columns and explicit processing rules. Review the proposed result and warnings.
- Download the chosen result dataset, JSON artifact or report; save a draft to continue later.
What are the limits of Class Balance & Resampling?
Training data only: resampling before splitting leaks examples into evaluation sets. Random under/oversampling balances every class to the smallest/largest original class. Seeded deterministic sampling; no synthetic SMOTE. Output includes source row IDs and replication counts, maximum 25,000 output rows. Inputs stay in browser memory. No workbook is created. Table limits: 5 MB total text, 25,000 rows, 64 columns and 200,000 cells; expensive operations have stricter limits. Processing can be cancelled.