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[SOLVED] Bayes NET

User: "student"
New Altair Community Member
Updated by Jocelyn
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

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