confusionMatrix: Confusion matrix

In MUVR2: Multivariate Methods with Unbiased Variable Selection

Confusion matrix

Description

Make a confusion matrix from a MUVR object.

Usage

confusionMatrix(MVObj, model = "mid")

Arguments

MVObj	A MUVR object (classification analysis)
model	min, mid or max model

Value

A confusion matrix of actual vs predicted class

Examples

data("mosquito")
data("crisp")
nRep <- 2 # Number of MUVR2 repetitions
nOuter <- 4 # Number of outer cross-validation segments
varRatio <- 0.6 # Proportion of variables kept per iteration
classModel <- MUVR2_EN(X = Xotu,
                      Y = Yotu,
                      nRep = nRep,
                      nOuter = nOuter,
                      DA = TRUE,
                      modReturn = TRUE)
confusionMatrix(classModel)
MLModel <- MUVR2(X = crispEM,
                 ML = TRUE,
                 nRep = nRep,
                 nOuter = nOuter,
                 varRatio = varRatio,
                 method = "RF",
                 modReturn = TRUE)
 confusionMatrix(MLModel)

MUVR2 documentation built on Sept. 16, 2024, 9:06 a.m.