| 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, A. E. Raftery, T. B. Murphy and L. Scrucca (2012). mclust Version 4 for R: Normal Mixture Modeling for Model-Based Clustering, Classification, and Density Estimation. Technical Report No. 597, 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)