The project is known as DARE. Interesting classifier but not really that great. Try it out, it is open source so far.
Just like many proof of concept it starts to rapidly fail when trained on too much data and otherwise generalize only so so.
This is essentially some feature engineering thrown at an SVM / GNN.
What makes the results even tougher to reproduce is that the training set is not provided, only resulting matrices.
It is telling when different classifiers work best for supervised and auto cases...
This is essentially some feature engineering thrown at an SVM / GNN. What makes the results even tougher to reproduce is that the training set is not provided, only resulting matrices.
It is telling when different classifiers work best for supervised and auto cases...