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Table 1 The three combinations of three different sets of features used to train RF models in this study

From: Substituting random forest for multiple linear regression improves binding affinity prediction of scoring functions: Cyscore as a case study

Model Features
RF::Cyscore 4 Cyscore features
RF::CyscoreVina 4 Cyscore features + 6 AutoDock Vina features
RF::CyscoreVinaElem 4 Cyscore features + 6 AutoDock Vina features +
  36 RF-Score features