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
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