[SO] SMOTEEN generates imbalance dataset

[jsgounot]

[SO] SMOTEEN generates imbalance dataset

[jsgounot]

OK, thanks for taking the time to answer!

[chkoar]

Is this the intended behavior?

Yes, it is. Please note that the intention is not to balance the dataset but to improve the classification performance.

I am referencing the original paper where the combination of SMOTE + Tomek Link and SMOTE + ENN is proposed.
Note that in the quotation says TL but in the next paragraph the authors explain why to use ENN instead of TL so ti clearly derived.

Thus, instead of removing only the majority class examples that form Tomek links, examples from both classes are removed.

Having said that, you can pass a custom heuristic or your configured version of your own ENN.

from imblearn.under_sampling import EditedNearestNeighbours
from imblearn.combine import SMOTEENN

custom_enn = ...
smote_enn = SMOTEENN(enn=enn)