Release for general use!
| Currently supports | |
|---|---|
| Binary-classification (currently using XGBoost and DNN) | Examples: DY vs ttbar, DY prompt vs DY fake, good electrons vs bad electrons |
| Multi-sample classification (currently using XGBoost and DNN) | Examples: DY vs (ttbar and QCD) |
| Multi-class classification (currently using XGBoost and DNN) | Examples: DY vs ttbar vs QCD, , good photons vs bad photons |