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.

model.evaluation.plot(siamcat, fn.plot, verbose = 1)

Arguments

siamcat

object of class siamcat-class

fn.plot

string, filename for the pdf-plot

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')
#> Error in label$label: $ operator not defined for this S4 class