importance.plot {traineR}

importance.plot

Description

Function that graphs the importance of the variables.

Usage

importance.plot(model, col = "steelblue")

Arguments

model

fitted model object.

col

the color of the chart bars.

Value

A ggplot object.

Note

With this function we can identify how important the variables are for the generation of a predictive model.

See Also

ggplot, train.adabag, boosting

Examples

data <- iris
n <- nrow(data)

sam <- sample(1:n,n*0.75)
training <- data[sam,]
testing <- data[-sam,]

model <- train.adabag(formula = Species~.,data = training,minsplit = 2,
 maxdepth = 30, mfinal = 10)
importance.plot(model)