Benchmarking the n-tuple classifier with statlog dataset

Rohwer, Richard and Morciniec, Michal (1995). Benchmarking the n-tuple classifier with statlog dataset. IN: Proceedings of the Second Weightless Neural Network Workshop 1995, Computing with Logical Neurons. Bisset, D. L. (ed.) Canterbury: University of Kent.

Abstract

The n-tuple recognition method was tested on 11 large real-world data sets and its performance compared to 23 other classification algorithms. On 7 of these, the results show no systematic performance gap between the n-tuple method and the others. Evidence was found to support a possible explanation for why the n-tuple method yields poor results for certain datasets. Preliminary empirical results of a study of the confidence interval (the difference between the two highest scores) are also reported. These suggest a counter-intuitive correlation between the confidence interval distribution and the overall classification performance of the system.

Divisions: Aston University (General)
Uncontrolled Keywords: n-tuple recognition,algorithms,datasets
Published Date: 1995
Authors: Rohwer, Richard
Morciniec, Michal

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