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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Est3la
@wayseeker
What’s the criteria?
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Nico.cast🎩
@n
The model is trained a dozens of on-chain data, like unique counterparties, total tx value, tx amount
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Est3la
@wayseeker
My bad, I didn’t do a good job of asking the question. I wanted to know more about the criteria in the sense of why selecting those (instead of others) & the overall purpose of having a score. Credit scores are used to measure “trust” when asking for money, so is this to measure if a wallet is “trustworthy”?
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