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How to use C4.5 in RapidMiner??

User: "mohammad7941"
mohammad7941
New Altair Community Member
Updated by Jocelyn
Hello my frieands. I have database of some sick people blood test and i want to know which factor is most effective. i think i should use C4.5 algorithm.
and idk how to use it in RapidMiner.
can you help me??

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    User: "JessForbesRM"
    JessForbesRM
    New Altair Community Member
    Hello,

    Correct me if I'm wrong - C4.5 is a decision tree algorithm.

    While we don't have any operator that specializes in it I have found that there is an iteration of this called J48, its an open source option that can be found in WEKA.  Our WEKA extension does have an operator for this called W-J48.

    From the operator description - 
    Class for generating a pruned or unpruned C4.5 decision tree. For more information, see Ross Quinlan (1993). C4.5: Programs for Machine Learning. Morgan Kaufmann Publishers, San Mateo, CA.

    User: "sgenzer"
    sgenzer
    Altair Employee
    @JessForbesRM is 100% correct on this. FWIW the decision tree algorithm that is native to RapidMiner is not C4.5 but is a close variant of it.

    This operator learns decision trees from both nominal and numerical data. Decision trees are powerful classification methods which often can also easily be understood. This decision tree learner works similar to Quinlan's C4.5 or CART.

    You can see the code here.

    Scott

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