score_roc_measures {mlr3}R Documentation

Calculate ROC Measures

Description

Calculate a set of roc performance measures based on the confusion matrix.

Usage

score_roc_measures(pred)

Arguments

pred

(PredictionClassif)
The prediction object.

Value

list()
A list containing two elements confusion_matrix which is the 2 times 2 confusion matrix of absolute frequencies and measures, a list of the above mentioned measures.

Examples

learner = lrn("classif.rpart", predict_type = "prob")
splits = partition(task = tsk("pima"), ratio = 0.7)
task = tsk("pima")
learner$train(task)
pred = learner$predict(task)
score_roc_measures(pred)

[Package mlr3 version 1.0.1 Index]