search for: td887278

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2011 Feb 15
1
[slightly OT] predict.randomForest and type=”prob”
...failure (using Breiman's notations, P_\Theta( h(\Theta, x) = failure). I have found several threads on R-help related to predict.randomForest(..., type=”prob”) that confirm this interpretation of these probabilities (e.g., http://r.789695.n4.nabble.com/quot-prob-quot-in-predict-randomForest-td887278.html, http://r.789695.n4.nabble.com/Random-Forest-AUC-td3006649.html). However, I would like to know under which conditions (assumptions about the process, parameters of the randomForests, etc.) it is correct to use this proportion of votes as an estimate of the “true” probability P(failure |...