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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Arhat pfp
Arhat
@arhat
what's mine? 0x34ddd9223D9DDb6B56F640824Af6FCC31e1deBF4
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Nico.cast🎩  pfp
Nico.cast🎩
@n
it seems like the address is a brand new without any history on ETH? the model isn't trained on Polygon/Matic where I see you have the majority of your activities
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Nico.cast🎩  pfp
Nico.cast🎩
@n
I mean, it will technically work on any EVM chains. I had more thoughts on Polygon/L2s and think there should be different scoring system due to gas differences Fwiw the original model has some weight for total gas spent (ETH)
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