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')

    # 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 1.6.0 Index]