ggPerformance: ggPerformance

In JBjouffray/ggBRT: Explore and Visualise the Results of Boosted Regression Trees

Description

Function to extract the models performance of one or several boosted regression trees obtained with the gbm.step routine in the dismo package.

Usage

ggPerformance(..., global.env = F)

Arguments

...	one or several gbm.step objects (object of S3 class gbm)
global.env	Logical. If TRUE (default FALSE) exports the result into the R global environment as an object called ModelPerf. Be aware of the critics of exporting to the global environment

Value

Returns a dataframe with mean total deviance, mean residual deviance, correlation, area under the receiver operating curve (AUC), percentage deviance explained, cross-validated deviance, cross-validated correlation, cross-validated AUC and cross-validated percentage deviance explained (calculated with the formula 1-(cross-valdiated deviance/Total.Deviance))

JBjouffray/ggBRT documentation built on Jan. 30, 2021, 8:13 a.m.