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Table 2 Summary statistics for detecting good and bad objects in datasets 7-10 from Thresher

From: Thresher: determining the number of clusters while removing outliers

Scenarios and datasets 96 variables, 24 objects 24 variables, 96 objects
  Dataset 7 Dataset 8 Dataset 9 Dataset 10 Dataset 7 Dataset 8 Dataset 9 Dataset 10
Sensitivity 0.990 0.985 0.988 0.958 0.822 0.816 0.836 0.809
Specificity 0.606 0.552 1 0.999 0.688 0.655 1 0.917
FDR 0.427 0.458 0 0.001 0.399 0.426 0 0.047
AUC 0.798 0.768 0.994 0.978 0.755 0.735 0.918 0.863