suggest_variable: Compare variables by importance.

In modeval: Evaluation of Classification Model Options

Description

suggest_variable Collect and compare variable importance metrics if available.

Usage

suggest_variable(addTo, modelTag = NULL, sep = FALSE)

Arguments

addTo	Summary list that contains model fits to compare.
modelTag	Select model fits that contains modelTag on their name.
sep	If TRUE, show variable importance results by each model fit.

Value

Plots of variable importance results from all available models.

Examples

## Not run: 
library(mlbench)
data(PimaIndiansDiabetes)
index <- sample(seq_len(nrow(PimaIndiansDiabetes)), 500)
trainingSet <- PimaIndiansDiabetes[index, ]
testSet <- PimaIndiansDiabetes[-index, ]
x <- trainingSet[, -9]
y <- trainingSet[, 9]
x_test <- testSet[, -9]
y_test <- testSet[, 9]
sSummary <- list()
sSummary <- add_model(sSummary, x, y)
sSummary <- add_model(sSummary, x, y, model = c("C5.0Cost", "glmnet"), modelTag = "others")

suggest_variable(sSummary)

# vignette("modeval") #check a vignette for further details

## End(Not run)

modeval documentation built on May 29, 2017, 10:54 a.m.