Old-school classifiers are still generally better than Jev [P]

Overview

There’s a lot of hype right now around decision models like Jev. But in most real use cases, you have some labeled data, and can use it to personalize your model. So we tested the old-school approach to classification and regression: Embed your inputs with an open-source or cheap embedding model Fit a simple sklearn model on top using your own labels Turns out this approach was cheaper and almost always significantly more accurate (37% error reduction against Jev) Write-up: https://blog.voyageai

SpinGraph analysis pending — check back after processing.