cost.curves {fdm2id}

Plot Cost Curves

Description

This function plots Cost Curves of several classification predictions.

Usage

cost.curves(predictions, gt, methods.names = NULL)

Arguments

predictions

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

gt

Actual labels of the dataset (factor or vector).

methods.names

The name of the compared methods (vector).

Value

The evaluation of the predictions (numeric value).

See Also

roc.curves, performance

Examples

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])
cost.curves (cbind (pred.nb, pred.lda), d [, 5], c ("NB", "LDA"))