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Table 2 Summary of classification performance of MSIFinder, mSINGS and MSIsensor

From: MSIFinder: a python package for detecting MSI status using random forest classifier

Tools

Sen

Spe

Acc

PPV

F1

AUC

MSIFinder

0.997

1.000

0.998

0.954

0.977

0.9999

msings

0.983

0.950

0.981

0.730

0.826

0.985

MSIsensor

0.959

0.944

0.958

0.586

0.723

0.985

  1. Sen: sensitivity; Spe: specificity; Acc: accuracy; PPV: positive predictive value; F1: F1 score; AUC: area under curve
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BMC Bioinformatics

ISSN: 1471-2105

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