Nico.cast🎩  pfp
Nico.cast🎩
@n
Working on a ML model which will output an 'address score' similar to how credit scores work (~low is 300-500, mid 500-650, high 650+) some interesting data: me: 529.52 @alexpaden: 567.79 @cassie: 685.06 @jc: 698.19 @dwr.eth: 663.29 @dcposch.eth: 752.81
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🌶️ Zach Harris 🥀 pfp
🌶️ Zach Harris 🥀
@zachharris.eth
Would it also have the same bias that systematically under-represents minority groups like FICO?
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Nico.cast🎩  pfp
Nico.cast🎩
@n
I hear you, I have worked in fintech most of my life and agree FICO score can be very biased The score depends on the sum of weights and normalization of dozens of on-chain criteria. My thoughts on eliminating biases: we need a decentralized scoring system where different identities can report their own member score.
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