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 |