01-28-2018 06:23 AM
01-29-2018 09:30 AM
It depends on the structure of your network. With a Parent-child or Markov blanket structure, the inputs can be parents of the target. This paper has all the details and equations of how the predictions for a target are obtained from a Bayesian network: https://support.sas.com/resources/papers/proceedings17/SAS0474-2017.pdf
02-05-2018 11:36 AM
Thank you for your answer !
I built a Bayesian Network Model in order to explain a binary variable. Is it possible to compute a kind of "contribution" in order to know which input variable is the most contributive in my model to explain my target ?
Also, I picked up the Scoring code from my model but I don't understand the rules on it :
Can someone can explain to me what is compute in this rule (in red) because is not a probability..
else if _I28 = 1