confusion.matrix {SDMTools} | R Documentation |
confusion.matrix
calculates a confusion matrix.
Note: this method will exclude any missing data
confusion.matrix(obs, pred, threshold = 0.5)
obs |
a vector of observed values which must be 0 for absences and 1 for occurrences |
pred |
a vector of the same length as |
threshold |
a single threshold value between 0 & 1 |
Returns a confusion matrix (table) of class 'confusion.matrix' representing counts of true & false presences and absences.
Jeremy VanDerWal jjvanderwal@gmail.com
auc
, Kappa
,
omission
, sensitivity
,
specificity
, prop.correct
,
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 confusion.matrix(obs,pred,threshold=0.5)