fdm2id (version 0.9.1)

roc.curves: Plot ROC Curves

Description

This function plots ROC Curves of several classification predictions.

Usage

roc.curves(methods.names, predictions, labels)

Arguments

methods.names

The name of the compared methods (vector).

predictions

The predictions of a classification model (factor or vector).

labels

Actual labels of the dataset (factor or vector).

Value

The evaluation of the predictions (numeric value).

See Also

cost.curves

Examples

# NOT RUN {
require (datasets)
data (iris)
d = iris
levels (d [, 5]) = c ("+", "+", "-") # Building a two classes dataset
model.nb = NB (d [, -5], d [, 5])
model.lda = LDA (d [, -5], d [, 5])
pred.nb = predict (model.nb, d [, -5])
pred.lda = predict (model.lda, d [, -5])
roc.curves (c ("NB", "LDA"), cbind (pred.nb, pred.lda), d [, 5])
# }