Not a Bayes Net anymore ! it's Naive Bayes !
Hi ,
When I apply Naive Bayes classifier on my binary classification problem, it results AUC of 0.60 & when I apply Bayes Net classifier on it, it result AUC of 0.82 ,
So far there is no problem with it , the problem arises when you take a look at Bayes Net structure ! The structure is one-to-many from the label to the features in the dataset , thus it's a simple naive Bayes !
but why is the result different from Naive Bayes classifier ?
Thanks ,
Arian
When I apply Naive Bayes classifier on my binary classification problem, it results AUC of 0.60 & when I apply Bayes Net classifier on it, it result AUC of 0.82 ,
So far there is no problem with it , the problem arises when you take a look at Bayes Net structure ! The structure is one-to-many from the label to the features in the dataset , thus it's a simple naive Bayes !
but why is the result different from Naive Bayes classifier ?
Thanks ,
Arian
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