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Valerie
@vrose.eth
Since there's been a lot of curiosity about how three different scoring / labeling models compare, I pulled some data. Here's a contour plot of the Neynar Score, vs log of OpenRank score, color coded by Warpcast Label.
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Valerie
@vrose.eth
The main conclusion is that all three models are very different. The Neynar score and Warpcast labels correlate the most, especially on users with Neynar score above 0.8 (both models agree these are not spam).
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Pichi 🟪🍖🐹🎩 🍡🌸
@pichi
Do you have a distribution of Neynar scores? I don’t really know what’s a good score vs a bad one because I haven’t seen the full data set and how many people are in each bucket.
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Valerie
@vrose.eth
Yes, there's a chart on this page: https://docs.neynar.com/docs/neynar-user-quality-score. The "good score" cutoff depends on what you're using it for. If you only want to eliminate spam, without eliminating new users, you could set a cutoff below 0.5. If you want to filter to only established users with strong engagement, set the filter higher.
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Pichi 🟪🍖🐹🎩 🍡🌸
@pichi
This is exactly what I’m looking for! Thank you!!!!
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