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Saturating effect of increasing the number of classifiers in the random forest. The out-of-bag accuracy (an estimate of the test accuracy) plotted against the number of trees for the random forest model predicting the specific type of interaction. This is for a minimal node size of 1 and trying all possible features at every split.
