The curse of dimensionality, I'd guess.

Overfitting, curse of dimensionality, etc. As in many machine learning tasks, extracting good starting-point features is very very important, and that often requires domain-specific knowledge.

It can, but it's usually an impossibly huge search for a way to turn garbage into gold.