ranger Extra-trees importance adapters
Those function is intended to be given to a getImp argument of Boruta function to be called by the Boruta algorithm as an importance source.
getImpExtraZ generates default, normalized permutation importance, getImpExtraRaw raw permutation importance, finally getImpExtraGini generates Gini impurity importance.
getImpExtraZ(x, y, ntree = 500, num.trees = ntree, ...) getImpExtraGini(x, y, ntree = 500, num.trees = ntree, ...) getImpExtraRaw(x, y, ntree = 500, num.trees = ntree, ...)
x |
data frame of predictors including shadows. |
y |
response vector. |
ntree |
Number of trees in the forest; copied into |
num.trees |
Number of trees in the forest, as according to |
... |
parameters passed to the underlying |
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