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Table 3 Group classification and outlier detection using significant variables based on weight set 1 and 2

From: Variable selection for binary classification using error rate p-values applied to metabolomics data

  1. The body of the table shows the classification result due to each significantly shifted variable for each subject, where 0 indicates the subject was classified into the control group and 1 indicates the subject was classified into the experimental group. Misclassifications are indicated in red. The last three rows (i) provide the final classification based on the majority vote; (ii) flag subjects that were misclassified; and (iii) flag potential outlying subjects based on the number of variables that misclassified it compared to the remaining subjects
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BMC Bioinformatics

ISSN: 1471-2105

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