BayesFusion Support Forum

I got this message after parameters have been learned. Does it assume normally distributed data?

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I have a time series data over one month and it is normalized according to min-max normalization. I would like to see relationships within data. When using PC learning Genie tells me samples out of bounds. Does it mean that it is not possible to use PC learning results to see a true picture about re...

I have a hard time understanding the concept behind strength of influence given exact numbers. Using the coma network that accompanies GeNIe software the strength of influence between brain tumor and coma node is 0.375? What does that number tell me? I cannot derive 0.375 when setting different hard...

I think that another possibility is to use accuracy as a scoring function. Let me give you an example. Given a table (C, A, B) with 5 rows: (1,1,1) (2,1,2) (3,2,1) (4,2,2) (1,1,1) Bayesian search generates a model without arcs for a given class variable=C (k-fold=2). Probability distribution without...

Thank you for your answer! It seems that fewer nodes give better results. The question then arises: should I always prefer models which score closer to zero? Please tell me about your experience.

I haven't found any information about network property values in summary tab. There are object count, states, parameters / independent. How does Genie calculate values for "parameters" and "independent"?

Could you please explain what does negative best score signify? How should I interpret it? For example best score in iteration x: -70 000. Is it good or bad? What about -170 000? I expect the score to be positive and intuition tells me the bigger positive score the better.

Kind regards,