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Despite recent efforts to improve the scoring performance of scoring functions, accurately predicting the binding affinity is still a challenging task. Therefore, different approaches were tried to improve the prediction performance of four scoring functions (x‐score, vina, autodock, and rf‐score) by substituting the linear regression model of classical scoring function by random forest to examine...