Classification Accuracy: Machine Learning vs. Explicit Knowledge Acquisition

Authors:
Arie Ben-David;Janice Mandel
Affiliations:
Management Information Systems, The Hebrew University of Jerusalem, Mount Scopus, Jerusalem 91905 Israel. msariebd@pluto.mscc.huji.ac.il;Management Information Systems, The Hebrew University of Jerusalem, Mount Scopus, Jerusalem 91905 Israel. msariebd@pluto.mscc.huji.ac.il
Venue:
Machine Learning
Year:
1995

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Abstract

This empirical study provides evidence that machine learning models can provide better classification accuracy than explicit knowledge acquisition techniques. The findings suggest that the main contribution of machine learning to expert systems is not just cost reduction, but rather the provision of tools for the development of better expert systems.