I have got a binary classification problem with large dataset
Also dataset is fairly balanced of 67% Class 0 , 33% Class 1.
My accuracy score is very less in test dataset as compared to train dataset which is clearly a case of Overfitting
Also my classification report is
How to improve my model? I have tried undersampling , cross validation , lasso feature selection , etc.