A theoretical and experimental account of n-tuple classifier performance

Richard Rohwer*, Michal Morciniec

*Corresponding author for this work

    Research output: Contribution to journalArticlepeer-review


    The n-tuple recognition method is briefly reviewed, summarizing the main theoretical results. Large-scale experiments carried out on Stat-Log project datasets confirm this method as a viable competitor to more popular methods due to its speed, simplicity, and accuracy on the majority of a wide variety of classification problems. A further investigation into the failure of the method on certain datasets finds the problem to be largely due to a mismatch between the scales which describe generalization and data sparseness.

    Original languageEnglish
    Pages (from-to)629-642
    Number of pages14
    JournalNeural Computation
    Issue number3
    Publication statusPublished - Apr 1996


    • n-tuple recognition
    • StatLog


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