Evaluating evaluation measure stability

12 years 8 months ago
Evaluating evaluation measure stability
: This paper presents a novel way of examining the accuracy of the evaluation measures commonly used in information retrieval experiments. It validates several of the rules-of-thumb experimenters use, such as the number of queries needed for a good experiment is at least 25 and 50 is better, while challenging other beliefs, such as the common evaluation measures are equally reliable. As an example, we show that Precision at 30 documents has about twice the average error rate as Average Precision has. These results can help information retrieval researchers design experiments that provide a desired level of confidence in their results. In particular, we suggest researchers usingWeb measures such as Precision at 10 documents will need to use many more than 50 queries or will have to require two methods to have a very large difference in evaluation scores before concluding that the two methods are actually different. ● John Ho Lee Analyses of multiple evidence combination Proceedings of...
Chris Buckley, Ellen M. Voorhees
Added 01 Aug 2010
Updated 01 Aug 2010
Type Conference
Year 2000
Authors Chris Buckley, Ellen M. Voorhees
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