View source: R/ranger_clf_plot.R
plot_clf_pROC | R Documentation |
plot_clf_pROC
plot_clf_pROC(
y,
rf_clf_model,
positive_class = NA,
prefix = "train",
outdir = NULL
)
y |
A factor of classes to be used as the true results |
rf_clf_model |
A list object of a random forest model. |
positive_class |
an optional character string for the factor level that corresponds to a "positive" result (if that makes sense for your data). If there are only two factor levels, the first level will be used as the "positive" result. |
prefix |
The prefix of data set. |
outdir |
The output directory. |
Shi Huang
set.seed(123)
x <- data.frame(rbind(t(rmultinom(7, 75, c(.201,.5,.02,.18,.099))),
t(rmultinom(8, 75, c(.201,.4,.12,.18,.099))),
t(rmultinom(15, 75, c(.011,.3,.22,.18,.289))),
t(rmultinom(15, 75, c(.091,.2,.32,.18,.209))),
t(rmultinom(15, 75, c(.001,.1,.42,.18,.299)))))
y<-factor(c(rep("A", 30), rep("C", 30)))
rf_clf_model<-rf.out.of.bag(x, y)
positive_class="A"
plot_clf_pROC(y, rf_clf_model, outdir='./')
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