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Reorder rand_forest() notes to match table
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man/rmd/rand-forest.Rmd

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@@ -86,6 +86,6 @@ get_defaults_rand_forest <- function() {
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parsnip::convert_args("rand_forest")
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```
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- The default `min_n` for both ranger and randomForest is 1 for classification and 5 for regression.
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- For randomForest and spark, the default `mtry` is the square root of the number of predictors for classification, and one-third of the predictors for regression.
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- For ranger, the default `mtry` is the square root of the number of predictors.
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- The default `min_n` for both ranger and randomForest is 1 for classification and 5 for regression.

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