Consensus modeling in general outperformed individual QSAR models . In this study, two approaches were taken to find consensus models: i) averaging the probabilities of individual models and ii) finding the majority vote from individual models. When finding the consensus model between classification and regression, the regression values were converted to pseudoprobabilities after scaling them to 0 to 1 and subtracting the scaled value from 1.