Nico.vibe
@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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Cassie Heart
@cassie
tfw my social credit score is lower than my credit score https://i.imgur.com/d2T303O.jpg
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Nico.vibe
@n
I actively wanted to avoid this hence trying to gauge feedback before the training begins Are the scores in general too 'low'?
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