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, 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

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')


[Package SIAMCAT version 1.2.1 Index]