[xXOpkillerXx]

Originally Posted by AutotelicBrown

This makes no sense if you are using those as ground truth in the first place.

Anyway, I don't think it's worth to break down what you currently have if you haven't built a model in the first place. I guess it's fine to test around with some data and see what happens but it'll make more sense to decide what data to extract after you decide what you are modeling in the first place.

On the neural networks topic, lack of useful data sucks but I think convolutional networks could work well to build difficulty curve graphs.

What do you mean by "if you are going to use those as ground truth" ? I said I'm going the unsupervised way, there is no ground truth in that afaik. I plan on doing any estimation based on difficulties, not scores. Sorry if I misunderstood your point.

The rest is all true. The goal of this thread was never to talk modeling so much but rather discuss primitives.