A group of Microsoft researchers has used supervised machine learning to try and improve detection of fraudulent user accounts. With Skype as their test platform, the group says it was able to achieve 68 per cent successful detection of fake accounts within four months of activity, while keeping false positives down to 5 per …
Neither, the algorithm they built was able to detect 68% of the known-spam accounts and incorrectly identified 5% of the known-good accounts as spam.
The algorithm wasn't running for 4 months either, the data they were using was on accounts that have been active for 4 months without being flagged but were determined to be spam accounts.
...... have access to the usernames I would think that 68% detection on a blind study using the methods they did was quite good.
With the usernames available I would expect that to be in the very high 90's as at least once a week I get an invite or message from someone with enuslcenvfo or ggggggggggggv as their name.
Sod's law says there will be someone on here with that name.
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