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 vs very bad photons |