Comparison of Jackknife and Resubstitution Methods in the Estimation of Error Rates in Discriminant Analysis


Most often, in classification procedures, error rates or probability of misclassification are assessed. Because in real life application of classification rules or methods, some errors of misclassification can be more costly than the others. In this work, two methods of estimating error rates, namely; the Jackknife and resubstitution methods are examined using ten samples of size from the population pair From the results obtained from the experiments, we observed that the resubsitution method performed better than the Jackknife method in estimating the exact probabilities of misclassification

Keywords: Error Rates, Jackknife, Misclassification, Resubstitution

Unique Article ID: IJMSS-122
Article Review Status: Published

Pages: 29-37 (Download PDF)

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This work by European American Journals is licensed under a Creative Commons Attribution-NonCommercial-NoDerivs 3.0 Unported License

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