Re: Confusion Matrix in Weka Experiments

> thank you very much. I guess my previous mail did not go via outlook. I am new in programming especially in Java. Therefore I found python weka wrapper easier for me. However, is there a way to compare datasets rather than classifiers. I have like 3 classifiers and 3 databases (my code is below).

There is now:

    tester = Tester(classname="weka.experiment.PairedCorrectedTTester")
    tester.swap_rows_and_cols = True
    tester.resultmatrix = matrix

> Also is there a way to implement (ClassifierSplitEvaluator.setPredTargetColumn(boolean)) in python wrapper ?

There is now:

    exp = SimpleCrossValidationExperiment(
            classification=True,
            runs=10,
            folds=10,
            datasets=datasets,
            classifiers=classifiers,
            result=result,
            pred_target_column=True)

Caution: this will make the result files extremely large!

Since I'm not planning on making a release of pww3 any time soon, you
will need to install the library from source (heading "Github"):
https://fracpete.github.io/python-weka-wrapper3/install.html#github

BTW A while ago, I wrote the "simple-confusion-matrix" library which
might helpful to you when generating your own confusion matrices:
https://github.com/waikato-datamining/simple-confusion-matrix

Cheers, Peter
-- 
Peter Reutemann
Dept. of Computer Science
University of Waikato, NZ
+64 (7) 858-5174 (office)
+64 (7) 577-5304 (home office)
https://www.cs.waikato.ac.nz/~fracpete/
http://www.data-mining.co.nz/
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