Is AUC a better metric than accuracy in case of imbalenced datasets in machine learning,If not which is the best metric?
Neither are good for imbalanced datasets. Use the area under the precision recall curve instead.
Is auc better in handling imbalenced data. As in most of the cases if I am dealing with imbalenced data accuracy is not giving correct idea. Even though accuracy is high, model has poor perfomance. If it's not auc which is the best measure to handle imbalenced data.