reg_rf {daltoolbox}

Random Forest for regression

Description

Creates a regression object that uses the Random Forest method. It wraps the randomForest library.

Usage

reg_rf(attribute, nodesize = 1, ntree = 10, mtry = NULL)

Arguments

attribute

attribute target to model building

nodesize

node size

ntree

number of trees

mtry

number of attributes to build tree

Value

obj

Examples

data(Boston)
model <- reg_rf("medv", ntree=10)

# preparing dataset for random sampling
sr <- sample_random()
sr <- train_test(sr, Boston)
train <- sr$train
test <- sr$test

model <- fit(model, train)

test_prediction <- predict(model, test)
test_predictand <- test[,"medv"]
test_eval <- evaluate(model, test_predictand, test_prediction)
test_eval$metrics