[digitalzombie]

Most machine learning algorithms that aren't statistical base doesn't give a CI. From a statistical stand point it doesn't give a sense of how good your prediction is. You can get a general sense with just CV.

Also your parameter is not inferable like in statistical algorithm. This is where I see people saying Deep Learning isn't interprable and there are research into this area. If you compare time series stat forecast algorithm with deep learning you at least get a CI on stat algorithm.

Randomly dropping node is pretty magic in my mind.

While I don't know much about SVM I know it's mathematically proven so there should be a way to interpret SVM fitted model.

I sure as hell wouldn't use ML in clinical trial for drugs. That's why biostat is a thing.