BayesFusion Support Forum

There is a short and a longer answer to your question. The short answer is: Yes, you can use the same data set to train and validate your models. To do so, please use cross-validation when testing/validating the model. Please see GeNIe manual and read up on the concept of "cross-validation&quo...

hello! I have a question about validation of bayesian network. I know that we can evaluate the network on the data set straight or choose k-fold cross-validation. Can the dataset used for learning be used for Validation again? that is, Can I validate the network with the dataset which has been used ...

Dear Marek
Your reply is a great help to me, Thank you very much!

I'm afraid to answer your questions would require me to write a book, or at least a book chapter, on Bayesian network modeling :-). May I suggest that you read through a good textbook? We list several good books on our web site (https://www.bayesfusion.com/books). To give you brief answers, while B...

Dear friend Recently, I get confused about the Directed Arc, which represent the causal relationship of the notes, in some Bayesian graph. For example. The directed arc should be from cause to the effect. For example, the FLU, RABIES, EARINF, BRONCH can lead to a FEVER. But I find in many Bayesian g...

I *tried* to give you an idea, so you will have to fish it out of what I wrote above :-). You can test this indeed in an experiment, varying the data set size and important parameters of your networks, such as connectivity, maximum parent size, etc. I am very interested in the results of your exper...

Discretization is the process of replacing numerical values by labels of the intervals in which they fall and it may happen that different numerical values of a variable result in the same label. Dear Marek, thank you for your advice, I just have the problem you point out, 1, different numerical va...

There is no formula that I am aware of. I tried to give you an idea of how the number of records influences accuracy of your network but I'm afraid it is all qualitative. I hope this helps, Marek The qualitative is OK to me, can you tell me the qualitative method? Because I need to discuss the expe...

I use the discretize function of GeNIe to discretize the continuous datasets. discretize.png and obtain the discretized data from the continuous data, but I find that there are some questions of the distretized data, as shown in the following figure. discretize process.png The original continuous da...

Hello, I have a question of the sensitivity behind you, as shown in the figure sensitivity anlysis.png I get the tornade graph of node "rpm_mmin", why the first column of the graph is the "D_mm=state1 | CL_mm=state3" ? rmp_mmin tornado.png I thought it should be like the followin...

There is never too many data records in learning and as their number increases, the quality of your parameters will as well. I have seen a heuristic "ten times as many records as the number of variables" but it is really just a heuristic that can be easily criticized. Another way of estim...

I always feel that the datasets of my bayesian network is too few, only 100 samples, how about 50? or10000?
I want to know how many datasets for my bayesian network at least?

Hello! I have established a bayesian network as following figure, there are five notes and each note's state is shown in figure. bayesian net.png but I only have 100 datasets as the following figure, I don't know the data samples is proper, is there any principle or experience to decide how many dat...

If you insist on a structure similar to a TAN/ABN, please enforce it through background knowledge -- put links that you want to be there and run the algorithm to add additional links. you should use Bayesian Search learning algorithm and create the network structure in the background knowledge edit...

I have an idea, I do not know whether it is right For example ， there are 7 variables: A, B, C, D, E, F, G. A, B, C, D, E are related to F A, C, E are related to G I respectively establish two networks. In first network, I select A, B, C, D, E and take F as the class variable, then learn the net str...