I'm a big fan of both Weka and R (quite new at R :) ), and jumped at the chance
to use them together. Unfortunately, I'm running into what is probably a dumb
error when trying to view info about my model. A Google search turned up 0 hits
for the actual error I got (last line), but you all are smarter!
My code is below, but basically my data frame (q) is imported via RODBC and has
1586 rows (as you can see from nrow() ). q$Site is the column I hope to
classify by using the JRip classifier. When I view the m object, the model
seems to have been trained on a lot fewer rows than expected (10 vs 1586?), and
the summary() command fails with the error I mentioned I haven't seen anyone
run into. My guess is something is wrong with the specification of the training
set, but when I add control=Weka_control(F=1) to specify only one fold, the end
result is the same with the degenerate confusion matrix error. Is there some
other way I should be forcing it to train on more rows? Is that issue related
to not being able to generate a confusion matrix?
> attach(q)
> nrow(q)
[1] 1586
> summary(Site)
A B C D E F
265 190 260 344 329 198
> m <- JRip(Site~.,data=q)
> m
JRIP rules:
===========
(Dinosaur = TRex) => Site=A (3.0/0.0)
=> Site=B (5.0/2.0)
Number of Rules : 2
> summary(m)
Error in evaluate_Weka_classifier(object, ...) :
Cannot set dimnames on degenerate confusion matrix.
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