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Student Dataset is giving different classification accuracy using cross validation on RapidMiner 9.6

User: "VikasRattan"
New Altair Community Member
Updated by Jocelyn
Student Dataset is giving different classification accuracy using cross validation on RapidMiner 9.6(educational version)

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    User: "varunm1"
    New Altair Community Member
    Accepted Answer
    Try to run the attached process without changing multiple times as see the results. I enable random seed for SMOTE, Cross-Validation & random tree. You can import this process by going to File --> Import process. You need to set a random seed for all operators that have that option. A random seed will help generate the same data all the time and even in the random tree, it will do the same randomization. These are critical to producing reproducible results. 

    Let me know if you still have issues.