Simply add equal noise to each of the three classes. If the percentage of change in class A to B is more likely than the percentage of change class A to C. The respective changes will automatically happen with respect to the relative ratio.

Dear Masad Alrasheedi ,

Look the link, maybe useful.

https://sci2s.ugr.es/noisydata

Regards,

Shafagat

Dear Masad Alrasheedi

These links might be an valuable asset, have a look:

1. https://machinelearningmastery.com/train-neural-networks-with-noise-to-reduce-overfitting/

2. https://stats.stackexchange.com/questions/477926/adding-gaussian-noise-to-unbalanced-dataset

3. https://stats.stackexchange.com/questions/477926/adding-gaussian-noise-to-unbalanced-dataset

4. https://www.researchgate.net/post/How-to-add-some-noise-data-to-my-classification-datasets

Kind Regards

Qamar Ul Islam