interpretation bayesian networks

[PICKME]

FIRST, data set

x7_1 : 1(old) 0(young)

AA,AB, ~ , DN,DM : 1 (disease o) 0(disease x)

JID : person

SECOND, i analyzed bayesian network node in SAS E Minser.

ID :JID

TARGET : x7_1

INPUT : AA,AB, ~ , DN,DM

network model: TAN

number of bins: 2

maximum parents: 1

THIRD, analysis results

Why is the result like that? 

The result what i want is this.

-> x7_1   1   CV   0    probability

    x7_1   1   CV   1    probability

    x7_1   0   CV   0    probability

    x7_1   0   CV   1    probability

could you plz help me..

[JasonXin]

Hi, this is from Enterprise Miner? Jason Xin

[PICKME]

YES!!!!!

PLZ. I'M SO CURIOUS!!!!!

[yeliu]

In HP BN Classifier node, if you specify network model to be TAN, the maxparents are not applied.

If you really want a TAN model with maxparents=1, you need to spcify Naive Bayes in your network model.