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Mar 12, 2023 at 18:26 comment added Dave It's not at all obvious that class imbalance is a problem that requires the modeler to mess with the data (such as with sklearn sampling techniques). Please refer to my answer and the links in it.
Mar 28, 2022 at 5:06 comment added Atul Mishra So, now you can see that as soon as you used a more extensive model, the RF was able to pick up some pattern, so yes definitely RF performed better than Logistic. I would recommend you to check for class imbalance and then try to approach the ML method. Upvote the answer if it helped.😄
Mar 28, 2022 at 4:58 comment added Abhishek Pandey thanks for your useful response, one more thing want to share, the above confusion matrix which i shared earlier had no tp and fp this was the logistic regression, but when i used random forest i got tp and fp , 6 and 31, it is ok or this model is not working.
Mar 25, 2022 at 8:31 history answered Atul Mishra CC BY-SA 4.0