Consensus methods for regression models
The simplest and frequently used method to build a consensus regression model is to average the predicted biological properties of a compound from different regression models.
Another method is to use the weighted average of the predicted biological properties. However, a difficulty of using weighted average is the determination of appropriate weights for the different regression models. Possible ways of determining appropriate weights include using R2, mean square error, or mean absolute error to measure the performance of the regression models and assigning higher weights to those models which have better performance.
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