R: Model Evaluation Plot

model.evaluation.plot {SIAMCAT}

R Documentation

Model Evaluation Plot

Description

Produces two plots for model evaluation. The first plot shows the Receiver Operating Characteristic (ROC)-curves, the other the Precision-recall (PR)-curves for the different cross-validation repetitions.

Usage

model.evaluation.plot(..., fn.plot = NULL,
    colours=NULL, show.all=FALSE, verbose = 1)

Arguments

`...`	one or more object of class siamcat-class, can be named
`fn.plot`	string, filename for the pdf-plot
`colours`	colour specification for the different siamcat-class- objects, defaults to `NULL` which will cause the colours to be picked from the `'Set1'` palette
`show.all`	boolean, Should all repeated cross-validation models be plotted?
`verbose`	control output: `0` for no output at all, `1` for only information about progress and success, `2` for normal level of information and `3` for full debug information, defaults to `1`

Value

Does not return anything, but produces the model evaluation plot.

Examples

data(siamcat_example)

# simple working example
model.evaluation.plot(siamcat_example, fn.plot='./eval.pdf')

# plot several named SIAMCAT object
# (although we use only one example object here)
model.evaluation.plot('Example_1'=siamcat_example,
    'Example_2'=siamcat_example, colours=c('red', 'blue'),
    fn.plot='./eval.pdf')

[Package SIAMCAT version 1.8.1 Index]