Way back in the day on FB Ads we trained a GBDT on a bunch of features extracted from the diff that had been (post-hoc) identified as the cause of a SEV.
Unlike a modern LLM (or most any non-trivial NN), a GBDT’s feature importance is defensively rigorous.
After floating the results to a few folks up the chain we burned it and forget where.
Unlike a modern LLM (or most any non-trivial NN), a GBDT’s feature importance is defensively rigorous.
After floating the results to a few folks up the chain we burned it and forget where.