ClassifierResult: ClassifierResult class

Description Details Public fields Methods

Description

ClassifierResult class

ClassifierResult class

Details

result

Public fields

data

- the classifier prediction probabilities and outcomes if from a prediction

classes

- the classes of the outcome as a vector

binaryInfo

- the binary info stats

Methods

Public methods


Method new()

Creates a distribution

Usage
ClassifierResult$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 getInfoStats()

Usage
ClassifierResult$getInfoStats(...)

Method maxValue()

Usage
ClassifierResult$maxValue(statisticVar, ...)

Method maxValues()

Usage
ClassifierResult$maxValues(statisticVars, ...)

Method distributionStats()

Usage
ClassifierResult$distributionStats(...)

Method clone()

The objects of this class are cloneable with this method.

Usage
ClassifierResult$clone(deep = FALSE)
Arguments
deep

Whether to make a deep clone.


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