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>falsely identifying accounts as fake only 0.0058 percent of the time (or about 6 out of 10,000) That may sound impressive, but if there is 554,750,000 twitter
by tbirdz 13y ago
>falsely identifying accounts as fake only 0.0058 percent of the time (or about 6 out of 10,000)
That may sound impressive, but if there is 554,750,000 twitter users [1], 554750000 * (6/10000) is still 332,850 people who would have a false positive.
[1]: http://www.statisticbrain.com/twitter-statistics/ http://www.statisticbrain.com/twitter-statistics/
- random42 13y agoThat is the bane of Machine Learning algorithms. They cannot be 100% accurate. That is why for destructive measures, you need to establish human oversight when using such algorithms.
- _greim_ 13y agoHowever, humans are also machine learning algorithms, and may or may not have a better false positive rate than 0.0058%.