have been using since an year now for benchmarking and the improvements with 2.5 look massive. A lot of usecases already discussed in the report will help interdisciplinary domains improve their predictions.

Yes it actually is but the limitations of rows and features could be a hindrance.

I tried this on a few CARTE datasets and it works surprisingly better!! Woahhh