python - issue with high recall, low precision after oversampling

Question

I have a classification problem with class imbalance and after the oversampling, I get high recall ,accuracy and roc (around 0.85) while my precision and f1 is fairly low(0.50). I have used every kind of smote and undersammpling but I never get to achieve some balance between precision and recall.I have done some params tuning but when I try to increase my precision, my recall drops of course. Do you have any suggestions as to how i can increase my precision whilst not hurting the recall too much?

Answer 1

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