I used SMOTE to make a predictive model, with class 1 having 1800 samples and 35000+ of class 0 samples. Hence, as per SMOTE, synthetic samples were created and the random forest was trained.
However, I am now getting most results as class 1 when I test my model. I just tried to test it on the training set and this is what I got:
I've also tried hyperparameter optimisation, but that hasn't worked
PS: Used SMOTE implementation in