var_imp_overall: Extract overall feature importance within and between models

In BYUIDSS/BYUImachine: Machine Learning Model Selection of Cognostic Data

Description

Generates tibble of ranked features based on within model importance and between model agreeableness

Usage

var_imp_overall(models)

Arguments

models

List of models of class train

Details

To be used like HSPSModelR::var_imp_raw() but goes a step further and estimates importance for each distinct feature

Value

tibble of ranked features including columns:

• model

• feature

• Overall scaled score produced by caret::varImp()

• rank ordered rank within each model

Author(s)

"Dallin Webb <[e-mail]>"

See Also

varImp

Examples

## Not run: 

var_imp_overall(models_list)


## End(Not run)

BYUIDSS/BYUImachine documentation built on May 3, 2019, 5:22 p.m.