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faq:whengood [2007/05/07 18:06] – texasfett | faq:whengood [2009/09/29 09:54] – Minor text adjustment xuesheng | ||
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It all depends on the number of messages you get. | It all depends on the number of messages you get. | ||
- | Most people are reporting a very good accuracy ( > 97% ) after some 1000 messages. The global statistics (see link below), tell us that after 500 messages the average accuracy is at 96% and that over 85% of users are getting an accuracy over 95% at that point. | + | Most people are reporting a very good accuracy ( > 97% ) after some 1000 messages. The global statistics (see link below), tell us that after 500 messages the average accuracy is at 98.29% and that over 92% of users are getting an accuracy over 95% at that point (as of 28 September 2009; check the link below for the latest data). |
- | This does not mean that you will have to reclassify a thousand times before you reach that point. You will see that the majority of those 1000 messages will be put into the correct bucket. But you should be prepared to see many errors when your corpus is still fresh. | + | This does not mean that you will have to reclassify a thousand times before you reach that point. You will see that the majority of those 1000 messages will be put into the correct bucket. But you should be prepared to see many errors when your corpus is still fresh.((Some real statistics, starting from scratch: In the first 1,000 messages processed only 21 messages had to be reclassified, |
- | POPfile | + | POPFile |
- | + | ||
- | For a look at the latest published statistics: | + | |
See also: | See also: | ||
- | * http:// | + | * [[/ |
- | * http:// | + | * [[/ |
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