Description Details Public fields Methods
ClassifierResult class
ClassifierResult class
result
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
new()
Creates a distribution
ClassifierResult$new(data, classes)
predictionProbabilities
a matrix of probabilities with rows for every sample, and colums for every possible class
actual
the gold standard output as a vector of outcomes for each sample
...
passed to pdfFunction and centileFunction
getInfoStats()
ClassifierResult$getInfoStats(...)
maxValue()
ClassifierResult$maxValue(statisticVar, ...)
maxValues()
ClassifierResult$maxValues(statisticVars, ...)
distributionStats()
ClassifierResult$distributionStats(...)
clone()
The objects of this class are cloneable with this method.
ClassifierResult$clone(deep = FALSE)
deep
Whether to make a deep clone.
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