Dear All,
I'm classifying some data with various methods (binary classification). I'm
interpreting the results via a confusion matrix from which I calculate the
sensitifity and the fdr. The classifiers are trained on 575 data points and my
test set has 50 data points.
I'd like to calculate
Not really an R question.
Most classifiers will produce predicted probabilities, and you can check
their accuracy. There are lots of details in my PRNN book, and some
examples in MASS4.
I suggest you adjust your training and test sets to be more nearly equal,
or use cross-validation.
I
