PresenceAbsence (version 1.1.9)

pcc: Percent Correctly Classified

Description

pcc calculates the percent correctly classified and (optionally) the associated standard deviation from a confusion matrix.

Usage

pcc(CMX, st.dev = TRUE)

Arguments

CMX

a confusion matrix - output from cmx

st.dev

a logical indicating whether the associated standard deviation should be calculated

Value

if st.dev = FALSE, returns: PCC percent correctly classified.

if st.dev = TRUE, returns a dataframe where:

[1,1]

PCC

percent correctly classified

Details

Percent Correctly Classified is simply the proportion of test observations that are correctly classified.

See Also

cmx, sensitivity, specificity, Kappa, auc

Examples

# NOT RUN {
data(SIM3DATA)

pcc(cmx(SIM3DATA))

pcc(cmx(SIM3DATA),st.dev=FALSE)
# }