machine learning paper(s) available via WWW

machine learning paper(s) available via WWW

Post by Steven Salzbe » Tue, 01 Aug 1995 04:00:00



The following paper is newly available, and comments from other
experimental AI researchers would be greatly appreciated.  To retrieve
it, go to http://www.cs.jhu.edu/salzberg/home.html.  A number of other
recent and not-so-recent papers are also available at that site.

Title:  On Comparing Classifiers: A Critique of Current Research and Methods
Author: Steven Salzberg

Abstract: Experimental machine learning research needs to scrutinize
its approach to experimental design.  If not done very carefully,
comparative studies of classification algorithms can easily result in
statistically invalid conclusions.  This paper describes several
phenomena that can, if ignored, invalidate an experimental comparison.
It also divides machine learning research into several different
types, and discusses why comparative analysis is more important for
some than for others.

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Assistant Professor
Department of Computer Science
Johns Hopkins University                               410-516-8438
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Assistant Professor
Department of Computer Science
Johns Hopkins University                               410-516-8438
Baltimore, MD 21218                                    410-516-6134 (FAX)
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