modeval (version 0.1.3)

suggest_variable: Compare variables by importance.

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
## ---------------------------------------------