Hi, Way back in 2004, an update to randomForest added an option 'corr.bias'. The explanation was a bit vague, but it turns out it improves RF's predictive fit with my data substantially. But I am having trouble understanding it. Does anyone know what this 'bias correction' actually does? Or what the justification for it is? Or when it would be necessary? Is there a paper I can look at? And is the feature likely to emerge from 'experimental' any time soon? Zhou Fang