As I understand it, Olivier is talking about another type of cascade there.
There, the initial and secondary decisions are into the same set of labels.
I've tried building such a generic elimination cascade, but I think the
training regime could go a few different ways.
For a heirarchical label ca
Say I have a classification problem that is multiclass and
characteristically hierarchical, e.g. 'edible', 'nutritious' and
'~nutritious' - so it can be represented like so
├── edible│ ├── nutritious│ └── ~nutritious└── ~edible
While one can get reasonable performance with classifiers that su
