cla_dtree {daltoolbox} | R Documentation |
Decision Tree for classification
Description
Creates a classification object that uses the Decision Tree algorithm for classification. It wraps the tree library.
Usage
cla_dtree(attribute, slevels)
Arguments
attribute |
attribute target to model building |
slevels |
the possible values for the target classification |
Value
returns a classification object
Examples
data(iris)
slevels <- levels(iris$Species)
model <- cla_dtree("Species", slevels)
# preparing dataset for random sampling
sr <- sample_random()
sr <- train_test(sr, iris)
train <- sr$train
test <- sr$test
model <- fit(model, train)
prediction <- predict(model, test)
predictand <- adjust_class_label(test[,"Species"])
test_eval <- evaluate(model, predictand, prediction)
test_eval$metrics
[Package daltoolbox version 1.2.707 Index]