I know how to save model trained model from Weka (local).
However, I follow the same procedures and submit training task to
WekaServer, when this task is done,
I try to right click to choose "Save model" from Weka GUI, but this option
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I'm working right now with *Naive Bayes because I know that this algorithm
support giving weight to attributes but I would like to know if there are
other algorithms that support it too*.
Now, *in my code I change Naive Bayes for Random Tree (I want to use this
algorithm) and I get the following error*:
/weka.core.WekaException: weka.classifiers.trees.RandomTree: Some attribute
weights are not equal to 1 and scheme does not implement the
Exactly, can I give weights to attributes using Random Tree? Should I have
to implement first /WeightedAttributesHandler/ ? and finally can I use
another algorithm like Naive Bayes directly without use
Thanks in advance!
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