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How to increase the number our exampleset?
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Hi all
Is there any operator in RapidMiner to increase the number of example in the dataset? I mean an operator which generate more samples from all groups and increase the total numbers of example in my dataset. I am running a DL model on my dataset but the number of samples is not enough and cannot get more samples and have to generate and produce more samples from all groups.
Also, I do not want to balance the number of samples in classes; just increasing the size of dataset let's say threefold.
Regards.
Mansour
Is there any operator in RapidMiner to increase the number of example in the dataset? I mean an operator which generate more samples from all groups and increase the total numbers of example in my dataset. I am running a DL model on my dataset but the number of samples is not enough and cannot get more samples and have to generate and produce more samples from all groups.
Also, I do not want to balance the number of samples in classes; just increasing the size of dataset let's say threefold.
Regards.
Mansour
0
Answers
You can play with the SMOTE Upsampling operator to increase the number of examples in your dataset.
Here an example of process with such operator :
Regards,
Lionel