Contingency table for identifying misclassification errors.
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https://figshare.com/articles/dataset/_Contingency_table_for_identifying_misclassification_errors_/338268
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The overall misclassification error rate divides the total number of errors by the total number of studies reviewed. The false positive rate was determined using two methods: in the first, the false-positive rate was calculated among studies classified as N by manual review; in the second, the false-positive rate was calculated among studies classified as Y by the algorithm. The false-negative rate was evaluated in similar fashion: by dividing the number of false negatives by the number of studies classified as Y by manual review, or by the number of studies classified as N by the algorithm.
创建时间：
2012-03-16
