So I have searched for this problem but what I found is people are facing this problem with their training dataset size and I understand that results may vary because of the size of dataset at the time of training a model. But my problem is different. I am classifying data using a trained model and the results vary with size. e.g. Suppose I have n rows initially and classify them and get set of results X. Now if I add m rows to previous dataset and have n+m rows and classify it then the results are diffeent for first n rows also. And yes the change is not negligible. Please if anyone can provide an insight into this. Please let me know if the question is not clear.
