Rebalances the dataset over training / testing categories. This resets the category for all data and splits it 80%/20% between training and testing. This is a deterministic process based on the hash of the name of the data.
Project ID
OK
Whether the operation succeeded
Optional error description (set if 'success' was false)
number of training samples after rebalance
number of testing samples after rebalance