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Assessing Classification Accuracy using Cohen's kappa in Data Mining

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2013, 18(1), pp.177-183
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science

Yonghwan Um 1

1성결대학교

Accredited

ABSTRACT

In this paper, Cohen's kappa and weighted kappa are applied to measuring classification accuracy when performing classification in data minig. Cohen's kappa compensates for classifications that may be due to chance and is used for the data with nominal or ordinal scales. Especially, for the ordinal data, weighted kappa which measures the classification accuracy by quantifying the classification errors as weights is used. We used two weights (linear weight, quadratic weight) for calculations of weighted kappa. Also for the calculation and comparison of kappa and weighted kappa we used a real data set, fat-liver data.

Citation status

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