Characterization of Classification Algorithms

• Type: Article in International Conference Proceedings Book
• Date: 1995

Authors

João Gama (Author) FEP; Pavel Brazdil (Author) FEP

Conference proceedings International

Title: Progress in Artificial Intelligence, 7th Portuguese Conference on Artificial Intelligence, EPIA '95, Funchal, Madeira Island, Portugal, October 3-6, 1995, Proceedings

Pages: 189-200

Indexing

Scopus - 85 Citations

Other information

Authenticus ID: P-008-KXY

DOI: 10.1007/3-540-60428-6_16

Abstract (EN): This paper is concerned with the problem of characterization of classification algorithms. The aim is to determine under what circumstances a particular classification algorithm is applicable. The method used involves generation of different kinds of models. These include regression and rule models, piecewise linear models (model trees) and instance based models. These are generated automatically on the basis of dataset characteristics and given test results. The lack of data is compensated for by various types of preprocessing. The models obtained are characterized by quantifying their predictive capability and the best models are identified. © Springer-Verlag Berlin Heidelberg 1995.

Language: English

Type (Professor's evaluation): Scientific