The false discovery rate (FDR) is a statistic used in statistics to measure the proportion of falsely identified phenomena in an experimental dataset.
It is calculated as the ratio of the number of incorrectly predicted observations (i.e., discoveries that were not actually made) to the total number of predictions made.
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