BinaryClassifierResult: ClassifierResult class

Description Details Super class Public fields Methods

Description

ClassifierResult class

ClassifierResult class

Details

result

Super class

ClassifierResult::ClassifierResult -> BinaryClassifierResult

Public fields

positive

- the "positive" class

Methods

Public methods

Inherited methods

Method new()

Creates a distribution

Usage
BinaryClassifierResult$new(data, classes)
Arguments
predictionProbabilities

a matrix of probabilities with rows for every sample, and colums for every possible class

actual

the gold standard output as a vector of outcomes for each sample

...

passed to pdfFunction and centileFunction


Method setPositive()

Usage
BinaryClassifierResult$setPositive(className)

Method plotLegend()

Usage
BinaryClassifierResult$plotLegend()

Method plot()

Usage
BinaryClassifierResult$plot()

Method plotRoc()

Usage
BinaryClassifierResult$plotRoc(labels = TRUE)

Method plotDensity()

Usage
BinaryClassifierResult$plotDensity(labels = TRUE)

Method plotStats()

Usage
BinaryClassifierResult$plotStats(
  statisticVars = vars(neg_pred_value, pos_pred_value, specificity, sensitivity,
    precision, recall, accuracy, f1, mcc, informedness, I)
)

Method plotPR()

Usage
BinaryClassifierResult$plotPR(labels = TRUE)

Method clone()

The objects of this class are cloneable with this method.

Usage
BinaryClassifierResult$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.


terminological/classifier-result documentation built on March 14, 2020, 8:04 a.m.