BayesFusion Support Forum

thank you for your answer here is the same bayesian network except that in this one I customized the definitions of the nodes and the "x" of the histogram are the same as in the dataset and are more logical for example the age the x are: 10,20,30,40,50,60... etc as my data and as shown in ...

here is my bayesian network, I have this problem for all continuous nodes :

Hi
can you explain me what is this error "Discretization problem in node Blood_Sugar: Underflow samples: 73593, min=4.75416e-19 loBound=0.4 Overflow samples: 831715, max=782875 hiBound=4.4 Total valid samples: 94692 of 1000000" and what should I do to solve this problem ?
Thanks.

for my case, I want to create a covid prediction system so my dataset contains symptoms, risk factors (discrete variables) and signs (medical analysis so continuous variables) in this case what kind of equation do you suggest we use? This is my first time working with BNs and using genie smile. I ho...

thank you for your answer;
I would like to ask you another question, regarding the equation how I have to choose the equation (trangular and others) and how I have to fill in the parameters of each equation knowing that for the moment I have copied and pasted an example from HBN, thank you.

can you tell me what the problem is in this hybrid bayesian network ?

in the hybrid bayesian network, the discrete node can have a continuous node as parent or it must be discrete too ?

Hello
I saw in the genie smile support that it deals with hybrid bayesian networks which contains continuous and discrete nodes and I built one, however I can't apply the EM algorithm for learning the parameters and do I have to do the discritization before applying the EM algorithm?