I am working on a binary Machine Learning classification problem. My classifiers are really performing poorly because distribution of the 1 class is very similar to 0 class (dataset is imbalanced, 1 representing 5%)
I am trying to compare density plots of the 1 and 0 classes across features. I am having trouble interpreting this plot. Shape is similar though height differs significantly.
- Can a Machine Learning Algorithm classify well with this kind of distribution ?
- What do I learn from these plots ?
Thanks a lot for your help =)