omission {SDMTools} | R Documentation |
Estimates different measures of accurracy given a confusion matrix.
omission(mat) sensitivity(mat) specificity(mat) prop.correct(mat)
mat |
a confusion matrix of class 'confusion.matrix'
from |
returns single values representing the:
ommission |
the ommission rate as a proportion of true occurrences misidentified given the defined threshold value |
sensitivity |
the sensitivity given the defined threshold value |
specificity |
the specificity given the defined threshold value |
prop.correct |
the proportion of the presence and absence records correctly identified given the defined threshold value |
Jeremy VanDerWal jjvanderwal@gmail.com
auc
, Kappa
,
confusion.matrix
, accuracy
#create some data obs = c(sample(c(0,1),20,replace=TRUE),NA); obs = obs[order(obs)] pred = runif(length(obs),0,1); pred = pred[order(pred)] #calculate the confusion matrix mat = confusion.matrix(obs,pred,threshold=0.5) #calculate the accuracy measures omission(mat) sensitivity(mat) specificity(mat) prop.correct(mat)