classError {mclust} | R Documentation |
Error for a given classification relative to a known truth. Location of errors in a given classification relative to a known truth.
classError(classification, truth)
classification |
A numeric or character vector of class labels. |
truth |
A numeric or character vector of class labels.
Must have the same length as
|
If more than one mapping between classification and truth corresponds to the minimum number of classification errors, only one possible set of misclassified observations is returned.
A list with the following two components:
misclassified |
The indexes of the misclassified data points in a minimum error mapping between the given classification and the given truth. |
errorRate |
The errorRate corresponding to a minimum error mapping mapping between the given classification and the given truth. |
C. Fraley and A. E. Raftery (2006, revised 2010). MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering, Technical Report no. 504, Department of Statistics, University of Washington.
a <- rep(1:3, 3) a b <- rep(c("A", "B", "C"), 3) b classError(a, b) a <- sample(1:3, 9, replace = TRUE) a b <- sample(c("A", "B", "C"), 9, replace = TRUE) b classError(a, b)