Description Details Super class Public fields Methods
ClassifierResult class
ClassifierResult class
result
ClassifierResult::ClassifierResult
-> BinaryClassifierResult
positive
- the "positive" class
new()
Creates a distribution
BinaryClassifierResult$new(data, classes)
predictionProbabilities
a matrix of probabilities with rows for every sample, and colums for every possible class
actual
the gold standard output as a vector of outcomes for each sample
...
passed to pdfFunction and centileFunction
setPositive()
BinaryClassifierResult$setPositive(className)
plotLegend()
BinaryClassifierResult$plotLegend()
plot()
BinaryClassifierResult$plot()
plotRoc()
BinaryClassifierResult$plotRoc(labels = TRUE)
plotDensity()
BinaryClassifierResult$plotDensity(labels = TRUE)
plotStats()
BinaryClassifierResult$plotStats( statisticVars = vars(neg_pred_value, pos_pred_value, specificity, sensitivity, precision, recall, accuracy, f1, mcc, informedness, I) )
plotPR()
BinaryClassifierResult$plotPR(labels = TRUE)
clone()
The objects of this class are cloneable with this method.
BinaryClassifierResult$clone(deep = FALSE)
deep
Whether to make a deep clone.
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