pcc calculates the percent correctly classified and (optionally) the associated standard deviation from a confusion matrix.
a confusion matrix - output from
a logical indicating whether the associated standard deviation should be calculated
Percent Correctly Classified is simply the proportion of test observations that are correctly classified.
st.dev = FALSE, returns:
PCC percent correctly classified.
st.dev = TRUE, returns a dataframe where:
|[1,1]|| ||percent correctly classified|
|[1,2]|| || standard deviation of
Elizabeth Freeman [email protected]
1 2 3 4 5
PCC PCC.sd 1 0.989 0.003299983  0.989
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