"Erratic behaviour of some learning operators with the Text Plugin"
Hello,
I get strange behaviour with some learning operators using the Text plugin.
For example, using the Text Plugin Sample 01_TextClassificationXVal.xml, when replacing the learning operator by NaiveBayes, all samples go to the same class. Using the Weka version of NaiveBayes, it works fine.
With the same example, when replacing the learning operator by LibSVMLearner, using the default parameter C-SVC and rbf, the results are completely inverted (no true positive, no true negative). With other parameters, there are no problems.
It is not clear whether this problem come from the Text Plugin or Rapidminer itself.
Does anyone have an explanation?
Thanks
I get strange behaviour with some learning operators using the Text plugin.
For example, using the Text Plugin Sample 01_TextClassificationXVal.xml, when replacing the learning operator by NaiveBayes, all samples go to the same class. Using the Weka version of NaiveBayes, it works fine.
With the same example, when replacing the learning operator by LibSVMLearner, using the default parameter C-SVC and rbf, the results are completely inverted (no true positive, no true negative). With other parameters, there are no problems.
It is not clear whether this problem come from the Text Plugin or Rapidminer itself.
Does anyone have an explanation?
Thanks