Global importance measure for a PPforest object as the average IMP PPtree measure over all the trees in the forest

Usage

ppf_avg_imp(ppf, y)

Arguments

ppf: is a PPforest object
y: A character with the name of the class variable.

Value

Data frame with the global importance measure

References

da Silva, N., Cook, D., & Lee, E. K. (2021). A projection pursuit forest algorithm for supervised classification. Journal of Computational and Graphical Statistics, 30(4), 1168-1180.

Examples

#crab data set with all the observations used as training

pprf.crab <- PPforest(data = crab, std = 'min-max', y = 'Type',
 size.tr = 1, m = 100, size.p = .5, PPmethod = 'LDA')
 ppf_avg_imp(pprf.crab, 'Type') 
#> # A tibble: 5 × 2
#>   variable  mean
#>   <fct>    <dbl>
#> 1 CL       0.477
#> 2 CW       0.412
#> 3 RW       0.377
#> 4 BD       0.306
#> 5 FL       0.294