confuMat-methods {MLInterfaces} | R Documentation

## Methods for Function confuMat in Package ‘MLInterfaces’

### Description

compute the confusion matrix for a classifier's output

### Methods

obj = "classifOutput"
  Typically, an instance of class `"classifOutput"` is built on a ``training'' subset of the input data, and the ``test'' subset's true class labels are available. This method cross-tabulates the true labels of the test set against the predictions of the fitted classifier.

### Examples

    library(golubEsets)
    data(Golub_Merge)
    smallG <- Golub_Merge[1:50,]
    k1 <- knnB(smallG, "ALL.AML", 1:30)
    confuMat(k1)

[Package MLInterfaces version 1.12.0 Index]