omission: Measures of Accuracy

In SDMTools: Species Distribution Modelling Tools: Tools for processing data associated with species distribution modelling exercises

Description

Estimates different measures of accurracy given a confusion matrix.

Usage

omission(mat)

sensitivity(mat)

specificity(mat)

prop.correct(mat)

Arguments

mat	a confusion matrix of class 'confusion.matrix' from confusion.matrix

Value

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

Author(s)

Jeremy VanDerWal [e-mail]

See Also

auc, Kappa, confusion.matrix, accuracy

Examples

#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)

SDMTools documentation built on Jan. 11, 2020, 9:23 a.m.