Hi,
I am trying to deploy a Naives bayes network.But in spite of I am getting an dependecy network that relates 3 variables,
I've got an classification Matrix where all the predicted values are the same.
I tried to deploy the same data on Tanagra's software and I've got predictions on the other values.
I tried to change all the parameters but the results are always the same
thanks in advance
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What happens when you try to use decision trees?
One clarification - our Naive Bayes algorithm is a Naive Bayes classifier, not a Naive Bayes network. This may be the difference between the packages, but I'm not familiar with the package you mentioned.
|||with decision trees it appears with several nodes but the classification matrix have the same distribution. only value 1 has predicted values
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Is the target column modeled as Discrete or Discretized? If Discretized, could you try changing it to discrete?
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