mtcars.csv data looks like this:
OpenMarkov GUI, I went to
Learning and loaded
mtcars.csv dataset. I then adjusted
preprocessing settings to have
Equal width intervals for all variables.
I then chose
Hill Climbing algorithm (default) and
Automatic learning options. On learning, the result was as follows:
My question is what exactly does this figure represent? Does it represent a
Bayesian network or some other type of
probabilistic graphical models? Also, do arrows mean that
cyl in turn affects
carb and so on?