PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

A Probabilistic Interpretation of Precision, Recall and F-score, with Implication for Evaluation
Cyril Goutte and Eric Gaussier
In: 27th European Conference on Information Retrieval (ECIR'05), March 21-23, Santiago de Compostela, Spain.

Abstract

We address the problems of 1/ assessing the confidence of the standard point estimates, precision, recall and F-score, and 2/ comparing the results, in terms of precision, recall and F-score, obtained using two different methods. To do so, we use a probabilistic setting which allows us to obtain posterior distributions on these performance indicators, rather than point estimates. This framework is applied to the case where different methods are run on different datasets from the same source, as well as the standard situation where competing results are obtained on the same data.

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EPrint Type:Conference or Workshop Item (Paper)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Learning/Statistics & Optimisation
Information Retrieval & Textual Information Access
ID Code:951
Deposited By:Cyril Goutte
Deposited On:01 April 2005