### Name: classifOutput-class
### Title: Class "classifOutput": container for output of classification
###   procedures in R
### Aliases: classifOutput classifOutput-class agnes-class bagging-class
###   classbagg-class cshell-class diana-class dist-class gbm-class
###   groupIndex-class ica-class ipredknn-class kmeans-class knnP-class
###   lca-class lda-class logitboost-class membMat-class MLLabel-class
###   MLOutput-class MLLabel MLOutput MLScore-class MLScore
###   naiveBayes-class nnet.formula-class nsc-class pam-class pamr-class
###   prcomp-class predClass-class probArray-class probMat-class qda-class
###   qualScore-class randomForest-class rpart-class silhouetteVec-class
###   silhouetteB,classifOutput-method slda-class SOMBout-class svm-class
### Keywords: classes

### ** Examples

# access and trim an ExpressionSet
library(golubEsets)
data(Golub_Merge)
smallG <- Golub_Merge[1:60,]
# set a PRNG seed for reproducibilitiy
set.seed(1234) # needed for nnet initialization
# now run the classifiers
f1 = knnB( smallG, "ALL.AML", 1:40 )
f1
confuMat(f1)



