Description Usage Arguments Details Value See Also Examples
Sensitivities of all pairwise binary classifiers for all classes.
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predictionMap |
A PredictionMap object as it is returned by |
The Conf object contains all class sensitivities for each binary trained classifiers. The $fC-part is a matrix with one column and contains the sensitivities for the first class of each pairwise classifier. The rows stand for the pairwise classifiers, whereby 0vs1 means that this classifier was trained for class 0 against class 1, with class 0 being the first class. The number '-1' is used as placeholder. The $sC-part is a matrix and contains the preformance measures for all second classes, which are meant here as all classes except the first class. The rows correspond to the binary classifiers and the columns to the classes.
Object of class Conf. Consists of a list of two numeric matrices fC and sC.
summary.Conf
, print.Conf
, plot.Conf
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