classifOutput-class {MLInterfaces} | R Documentation

## Class "classifOutput": container for output of classification procedures in R

### Description

container with uniform contents for classifier outputs

### Objects from the Class

Objects can be created by calls of the form `new("classifOutput", ...)`. These objects include label vectors for test set elements, scores on labeling events, call history information, native classifier object access, and a distance matrix for test set feature vectors.

### Slots

`method`:
  Object of class `"character"` tag identifying classification method in use
`predLabels`:
  Object of class `"MLLabel"` vector of labels predicted for test cases
`predScores`:
  Object of class `"MLScore"` structure of scores on classification events (for example, vote proportions or fitted probabilities of class membership
`call`:
  Object of class `"call"` call engendering the classifOutput object
`classifRobject`:
  Object of class `"ANY"` fitted model object
`distMat`:
  Object of class `"dist"` distance matrix of test set feature vectors

### Methods

show
  `signature(object = "classifOutput")`: ...
silhouetteB
  `signature(out = "classifOutput")`: ...

### Author(s)

VJ Carey <stvjc@channing.harvard.edu>

### 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)

[Package MLInterfaces version 1.12.0 Index]