importance_plot_rf: importance_plot_rf
In regressoR: Regression Data Analysis System
View source: R/mod_r_forest_utils.R
importance_plot_rf R Documentation
importance_plot_rf
Description
graphs the importance of variables for the random forest model according to the percentage increase in mean square error.
Usage
importance_plot_rf(
model.rf,
titles = c("Importancia de Variables Segun el Porcentaje de Incremento del MSE",
"Aumento porcentual del error cuadratico medio", "Variable")
)
Arguments
model.rf
a random forest model.
titles
labels on the chart
Value
echarts4r plot
Author(s)
Ariel Arroyo <luis.ariel.arroyo@promidat.com>
See Also
randomForest
regressoR documentation built on July 9, 2023, 5:26 p.m.
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View source: R/mod_r_forest_utils.R
| importance_plot_rf | R Documentation |
importance_plot_rf
Description
graphs the importance of variables for the random forest model according to the percentage increase in mean square error.
Usage
importance_plot_rf(
model.rf,
titles = c("Importancia de Variables Segun el Porcentaje de Incremento del MSE",
"Aumento porcentual del error cuadratico medio", "Variable")
)
Arguments
model.rf |
a random forest model. |
titles |
labels on the chart |
Value
echarts4r plot
Author(s)
Ariel Arroyo <luis.ariel.arroyo@promidat.com>
See Also
randomForest
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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