NDLI: A multi-dimensional measure function for classifier performance

Content Provider	IEEE Xplore Digital Library
Author	Lavesson, N. Davidsson, P.
Copyright Year	2004
Description	Author affiliation: Sch. of Eng., Blekinge Inst. of Technol., Ronneby, Sweden (Lavesson, N.; Davidsson, P.)
Abstract	Evaluation of classifier performance is often based on statistical methods e.g. cross-validation tests. In these tests performance is often strongly related to or solely based on the accuracy of the classifier on a limited set of instances. The use of measure functions has been suggested as a promising approach to deal with this limitation. However, no usable implementation of a measure function has yet been presented. This article presents such an implementation and demonstrates its usage through a set of experiments. The results indicate that there are cases for which measure functions may be able to capture important aspects of the evaluated classifier that cannot be captured by cross-validation tests.
Sponsorship	IEEE Instrumentation and Measurement Soc. IEEE IM/CS/SMC Joint Chapter of Bulgaria
Starting Page	508
Ending Page	513
File Size	528239
Page Count	6
File Format	PDF
ISBN	0780382781
DOI	10.1109/IS.2004.1344802
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-06-22
Publisher Place	Bulgaria
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Testing Neural networks Telephony Statistical analysis Data mining Machine learning Genetic algorithms Electronic mail Sections Partitioning algorithms
Content Type	Text
Resource Type	Article

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