problem of imbalnce dataset
hello i am new in data mining and rapidminer, I have problem of imbalance data set, I wok with decision tree and naïve bayes and random foreset the accuracy of DT, NB is very good but it is not real my question is what is best operators that work with three techniques , my data set contain 1031 sample
hana mohamed
student
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Altair EmployeeHi Hana,
i recommend to use the SMOTE operator which is part of the operator toolbox extension.
Best,
Martin
thanks for replay...
but how i use it the class false (44) only and class true about (986)
thanks...
i work on version 8.0.001 these operator not found in it.. what is best one instead of it and how work?
Altair EmployeeHi @hanaabdalrahman,
as mentioned earlier: This operator is part of an extension and not of RM core. The extension can be found in our marketplace:
Best,
Martin
thanks very match.. upsampling operator solve the problem
Altair EmployeeHi @hanaabdalrahman,
as mentioned earlier: This operator is part of an extension and not of RM core. The extension can be found in our marketplace:
Best,
Martin
@hanaabdalrahman you will need to use the Sample operator and toggle on the 'balance data' option. Then enter the classes and # of samples for each class.