patrickSwayzeNU t1_iv5h23t wrote

I’m riffing here - intrusive thoughts could be the work of a second, long term focused system that works to “refresh” the trauma.

With respect to over generalization - that’s simply a natural outcome of a discrimination model working with asymmetric costs. False negatives have higher cost here than false positives.


patrickSwayzeNU t1_it8irde wrote

This post will likely get deleted. You should post in r/learnmachinelearning

Xgboost tends to be best on tabular data - you didn’t mention what domain you’re working on.

Creating entity embeddings from NNs and passing them to other downstream classifiers definitely is a thing