Problem in Exploring the Decision Tree Model on Lesson 4 Basic Data Mining SSAS

Question

Hello everyone,
I've tried to follow all the steps mentioned in Basic Data Mining Tutorials, but I've an odd problem in the Lesson 4 - Exploring the Decision Tree Model (http://technet.microsoft.com/en-us/library/cc879269.aspx).
It's stated that "As you view the TM_Decision_Tree model
in the Decision Tree viewer, you can see the most important attributes at the left side of the chart. “Most important” means that these attributes have the greatest influence on the outcome. Attributes further down the tree (to the right of the chart) have
less of an effect. In this example, age is the single most important factor in predicting bike buying. The model
groups customers by age, and then shows the next more important attribute for each age group. For example, in the group of customers aged 34 to 40, the number of cars owned is the strongest predictor after age."
But, I got a different result from what mentioned in the tutorial. I got the number of cars owned as the most important attribute, then followed by the attribute age.
Do you guys know why?
Thanks in advance

Answer 1

HI,
BEGIN
   INSERT INTO DT_CA_SETTINGS_TEST (SETTING_NAME, SETTING_VALUE) VALUES
   (dbms_data_mining.TREE_TERM_MINPCT_NODE,to_char(1));
END;
That is not "Mode" its "NODE".
Now Execute.
Cheers..