xMLcompareR Documentation

Function to visualise cross-validation performance against tuning parameters

Description

xMLcompare is supposed to visualise cross-validation performance against tuning parameters.

Usage

xMLcompare(list_ML, metric = c("ROC", "Sens", "Spec"), xlab = NA,
xlimits = c(0.5, 1), font.family = "sans")

Arguments

list_ML

a list of class "train" or "train.formula" objects (resulting from caret::train)

metric

the performance metric to plot. It can be one of 'ROC', 'Sens' (Sensitivity) and 'Spec' (Specificity)

xlab

a title for the x axis

xlimits

the limit for the x axis

font.family

the font family for texts

Value

an object of class "ggplot"

Note

none

See Also

xMLcompare

Examples

## Not run: 
library(Pi)

## End(Not run)
RData.location <- "http://galahad.well.ox.ac.uk/bigdata"
## Not run: 
gp <- xMLcompare(ls_ML, xlimits=c(0.5,1))

## End(Not run)