Hello WendyCzika, 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 then do; _target_score_HPBNC1{1}+(-1.538266175076); _target_score_HPBNC1{2}+(-0.241757117828); end; Best regards, Bruno
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