I did a stacking using three base classifiers RF, NB, KN N and metamodel random forest or SVM using sklearn library
But which is strange each time i change the metamodel i got the same results. Is it normal ?????
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No, in generally speaking, even minor changes should affect your performance. Changing your meta-model should normally have a visible impact in your model's performance.
Two things you can try: