Importancia de variaveis

Extrai a importancia das variaveis do modelo (engines rpart e ranger).

Usage

rnp_ml_importancia(modelo, digits = 4L)

Arguments

modelo

Workflow ajustado ou parsnip fit.

digits

Inteiro.

Value

tibble com variavel e importancia, em ordem decrescente.

See also

Other ml: rnp_ml_ajustar(), rnp_ml_arvore(), rnp_ml_boosting(), rnp_ml_comparar(), rnp_ml_cv(), rnp_ml_floresta(), rnp_ml_knn(), rnp_ml_particao(), rnp_ml_prever(), rnp_ml_receita(), rnp_ml_regularizada(), rnp_ml_svm(), rnp_ml_tunagem()

Examples

# \donttest{
sp <- rnp_ml_particao(iris, estrato = "Species")
fit <- rnp_ml_ajustar(rnp_ml_arvore("classificacao"), Species ~ ., sp)
rnp_ml_importancia(fit$modelo)
#> # A tibble: 4 × 2
#>   variavel     importancia
#>   <chr>              <dbl>
#> 1 Petal.Width         70.1
#> 2 Petal.Length        66.7
#> 3 Sepal.Length        43.2
#> 4 Sepal.Width         29.7
# }