train.randomForest: train.randomForest

Description Usage Arguments Value Examples

Description

train.randomForest

Usage

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train.randomForest(data.train, seed = 214, label = "popularity",
  use.classwts = TRUE)

Arguments

data.train

matrix or data frame with training data

seed

if required for recreating exact results

label

column name of the class identified with the row

use.classwts

boolean for whether or not to use priors on the classes in the forest. Defaults to TRUE

Value

randomForest model trained on training data

Examples

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# train.randomForest(data.train)

abarciauskas-bgse/cphtbo documentation built on May 10, 2019, 4:09 a.m.