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. 2020 Sep 17;21(Suppl 13):381. doi: 10.1186/s12859-020-03683-3

Table 2.

Performance of S-ISOMAP compared with other feature selection methods on the test set

Method SEN SPE PRE F1 ACC MCC AUC
SVM-RFE (19) 0.423 0.763 0.555 0.478 0.625 0.197 0.635
mRMR (30) 0.538 0.711 0.569 0.549 0.642 0.251 0.696
RF-SFS (17) 0.654 0.737 0.629 0.642 0.703 0.388 0.709
VSURF (10) 0.678 0.776 0.672 0.669 0.736 0.431 0.704
S-ISOMAP (3) 0.707 0.819 0.721 0.713 0.768 0.508 0.773

The highest value in each column is shown in bold. The numbers in parentheses represent the feature dimensions after dimensionality reduction