17:11:11 <dangerousfreedom> <xmr-ack[m]> "https://github.com/MAGICGrants/..." <- I dont know why I cant give you a 'tada' too :p
17:11:11 <dangerousfreedom> So, you say you can predict the real signer with 23% certainty (instead of 9% 1/11)? Is this number also valid for the 50 real txs? Nice job.
17:19:23 <jeffro256[m]> This right here is why Seraphis is important 
17:20:12 <jeffro256[m]> > > <@ack-j:matrix.org> https://github.com/MAGICGrants/Monero-Fund/issues/15#issuecomment-1145354923... (full message at https://libera.ems.host/_matrix/media/r0/download/libera.chat/ce70e209f33ec33f38f99c8344ab6099e5e7559a)
17:31:30 <xmr-ack[m]> jeffro256: dangerousfreedom The 23% accuracy was using a preliminary dataset of transaction collected in February. I was able to achieve up to 27% out of sample testing accuracy with a gradient boosted classifier two months back. This dataset is known to have flaws with its collection method and that is why I am collecting a new one as we speak, which should be done by July 1st. The dataset and training of the models however was
17:31:31 <xmr-ack[m]> done with an undersampled subset of the dataset, eliminating the guess newest heuristic. This also has not been tested against the ~50 mainnet transactions yet, hopefully I will have that done by this or next week. Also I agree, even though these are preliminary results they show the importance of increasing the anonymity set, and a sublinear solution like Seraphis is perfect. If the v15 hardfork didnt get pushed back so far I
17:31:31 <xmr-ack[m]> would have also collected an additional dataset with size 16 ring signatures to quantify the added privacy benefits.
17:43:24 <dangerousfreedom> Cool :)