ConfusionMatrixFalseDiscoveryRate Property |
Namespace: Accord.Statistics.Analysis
The False Discovery Rate is actually the expected false positive rate.
For example, if 1000 observations were experimentally predicted to be different, and a maximum FDR for these observations was 0.10, then 100 of these observations would be expected to be false positives.
The False Discovery Rate is calculated as FDR = FP / (FP + TP).