Are two Classifiers performing equally? A treatment using Bayesian Hypothesis Testing

We consider here how to assess if two classifiers, based on a set of test error results, are performing equally well. This question is often considered in the realm of sampling theory, based on classical hypothesis testing. Here we present a simple Bayesian treatment that is quite general, and also is able to deal with the (practically common) case where the errors that two classifiers make are dependent.


Year:
2004
Publisher:
Rue de Simplon 4, Martigny, CH-1920, Switerland, IDIAP
Keywords:
Note:
IDIAP-RR 04-57
Laboratories:




 Record created 2006-03-10, last modified 2018-03-17

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