[SOLVED] Bayes NET
Hello,
I would do the following:
Input: a,b,c,d,z (random variable/ table columns)
1. Create a decision tree which shows the influences on z
Example: http://monkpublic.library.illinois.edu/monkmiddleware/public/analytics/decision_tree.png
2. Create a probability table for z.
Example:
z : P(z|a,b,c,d)
z_1 : 25% with a=1,b=1;c=0; d=true
z_2 : 12.5% with a=1,b=1;c=0;d=false
etc.
My problems with the bayes.NET are
a) The probability table is very large, can I write directly for z in a file (Bayes.NET gives me unfortunately for each variable, a table...).
b) I can learn the tree-structure restricted to z?
mfg student
I would do the following:
Input: a,b,c,d,z (random variable/ table columns)
1. Create a decision tree which shows the influences on z
Example: http://monkpublic.library.illinois.edu/monkmiddleware/public/analytics/decision_tree.png
2. Create a probability table for z.
Example:
z : P(z|a,b,c,d)
z_1 : 25% with a=1,b=1;c=0; d=true
z_2 : 12.5% with a=1,b=1;c=0;d=false
etc.
My problems with the bayes.NET are
a) The probability table is very large, can I write directly for z in a file (Bayes.NET gives me unfortunately for each variable, a table...).
b) I can learn the tree-structure restricted to z?
mfg student