"Problem with Feature Selection"

vitalimario

Hi,


I am trying to perform Feature Selection, then apply the reduced subset of features to a J48 tree and finally present the tree to the output.

As you will see i have the 'create_complete_model option' checked
Unfortunately *all* tutorials of feature selection in RM use either SVM or NearestNeigbours models which both do not return an output!

Here is my setting :
































What am i doing wrong ? ???

steffen

Hello

I am afraid I got you wrong, but:
The decision tree you create is used within the "performance measurement"-process to determine the (sub-)optimal set of features. If you want to create a Decision Tree with the best feature subset you must add something like this (at top level):

hope this was helpful,

Steffen

vitalimario

你好,史蒂芬,

Let me be more specific

Originally i would like to know whether the setup on the RM tutorial 12_WrapperValidation.xml can use a J48 decision tree (instead of JMySVMLearner and Regression Problem) and show the results (ie the Decision Tree) to the output : I changed the setup and i am not able to get the resulting Final tree (after feature selection) to the output :

Here is the final setup :

























































Thanks!

steffen

Hello again

Hm .. ok I think I got it now. Since there is no option to build a complete model, you cannot do it "in the same process".

You just have to repeat this part:

因为这正是“build complete model" does/would do.

hope this was helpful,

Steffen

vitalimario

Dear Steffen,



It worked GREAT! Thanks again