CODEWITHSUNDEEP
weka
John Doucette
John Doucette

Reputation: 4520

Weka says 'training and test set are not compatible' when both are the same file

I'm getting a very odd error from the weka machine learning toolkit:

java weka.classifiers.meta.AdaBoostM1 -t train.arff -d tmp.model -c 22 //generates the model
java weka.classifiers.meta.AdaBoostM1 -l tmp.model -T train.arff -p 22 //have the model predict values in the set it was trained on.

This produces the message:

java.lang.Exception: training and test set are not compatible
        at weka.classifiers.Evaluation.evaluateModel(Evaluation.java:1035)
        at weka.classifiers.Classifier.runClassifier(Classifier.java:312)
        at weka.classifiers.meta.AdaBoostM1.main(AdaBoostM1.java:779)

But of course, the input files are the same... Any suggestions?

Upvotes: 2

Views: 1939

Answers (1)

Martin D.
Martin D.

Reputation: 21

Sometimes Weka is complaining when the class variable does not consist of the same number of classes, e.g. when you training data consists of the classes {a,b,c} and the testing data (loaded later) only has {a,c}. In that case Weka just throws that nice exception :) Maybe you find a solution in the Weka source code or by loading your data sets with the Weka Explorer. The latter one tells you how the data set is looking like when it is loaded...

Upvotes: 2

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