Plot Cost Curves
This function plots Cost Curves of several classification predictions.
cost.curves(predictions, gt, methods.names = NULL)
predictions |
The predictions of a classification model ( |
gt |
Actual labels of the dataset ( |
methods.names |
The name of the compared methods ( |
The evaluation of the predictions (numeric value).
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"))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.