ucpm {klaR} | R Documentation |
Function to calculate the Correctness Rate, the Accuracy, the Ability to Seperate and the Confidence of a classification rule.
ucpm(m, tc, ec = NULL)
m |
matrix of (scaled) membership values |
tc |
vector of true classes |
ec |
vector of estimated classes (only required if scaled membership values are used) |
A list with elements:
CR |
Correctness Rate |
AC |
Accuracy |
AS |
Ability to Seperate |
CF |
Confidence |
CFvec |
Confidence for each (true) class |
Karsten Luebke, luebke@statistik.tu-dortmund.de
Garczarek, Ursula Maria (2002): Classification rules in standardized partition spaces. Dissertation, University of Dortmund. URL http://hdl.handle.net/2003/2789
library(MASS) data(iris) ucpm(predict(lda(Species ~ ., data = iris))$posterior, iris$Species)