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

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

ISSN: 1471-2105