A function that takes estimate class probabilities and produces a class prediction or indeterminate prediction
A function that takes estimate class probabilities and produces a class prediction or indeterminate prediction
pamr.indeterminate(prob, mingap=0)
prob |
Estimated class probabilities, from pamr.predict with type="posterior") |
mingap |
Minimum difference between highest and second highest probability. If difference is < mingap, prediction is set to indeterminate (NA) |
Trevor Hastie, Robert Tibshirani, Balasubramanian Narasimhan, and Gilbert Chu
suppressWarnings(RNGversion("3.5.0")) set.seed(120) x <- matrix(rnorm(1000*20),ncol=20) y <- sample(c(1:4),size=20,replace=TRUE) mydata <- list(x=x,y=y) mytrain <- pamr.train(mydata) prob<- pamr.predict(mytrain, mydata$x , threshold=1, type="posterior") pamr.indeterminate(prob,mingap=.75)
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