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ID3 algorithm in rapidminer

hi everyone , i am performing id3 algorithm on my 15 attributes but when ide tree is generated it consist of only 8 attributes what should i do know ? why this happen . .i am using cross validation
id3 algorithm didn't select the 7 attribute in tree .
am waiting for your help

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IngoRM

That is actually quite normal that not all attributes are used. The whole point of a decision tree is to figure out which are the most helpful features and in which order. Sometimes not all are needed for a classifier and sometimes adding more may even make the model generalize less well.

Hope this helps,
Ingo

fatimidveil

okay are can i use those attribute that are discarded by algrithm in my final result ?
because some attribute seem important in my result but discarded by decison tree

IngoRM

Sorry, can you please rephrase a bit? Not sure if I got you here. What other result are you referring to?

Cheers,
Ingo

fatimidveil

My query is: can i use those attritube that are not selected by tree in my final result discussion .
Becaz some attritube are important for my final result but algorithm discard them .waiting for your help and response

varunm1

Can i use those attribute that are discarded by algrithm in my final result ?

I don't think it is possible to add attributes into an id3 based decision tree.

fatimidveil

Can i make different id3 algorithm for same data using different attritubes that are important for us ..

Milla

That is quite ordinary that not all characteristics are utilized. The general purpose of a choice tree is to make sense of which are the most supportive highlights and in which request. Here and there not all are required for a classifier and once in a while including more may even make the model sum up less well.
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fatimidveil

Thankyou guys for your help ..😊