All metric (train/test acc/auc) yields 0.5 when training from scratch with Logistic Regression

[fengxijia]

Hi, I tried

python main.py --exp mem_inf --unlearning_method scratch --dataset_name xxx --original_model LR

and all the parameters remained the default. The final results (train & test, accuracy & auc) always show 0.5 no matter what categorical dataset I use, I can't figure out why. Can you tell me why this might be happening? Thank you very much.