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. 2021 Aug 16;38(1):228–235. doi: 10.1093/bioinformatics/btab545

Table 2.

The performance evaluation on 12 kinds of body fluids based on all datasets, grouped by different evaluation measures

Body fluids Accuracy Recall Precision F-measure MCC AUC
Blood 0.871345 0.887427 0.855263 0.873381 0.743075 0.941104
Saliva 0.769029 0.666667 0.844749 0.710526 0.522890 0.855485
Urine 0.825711 0.810127 0.840196 0.817456 0.650832 0.899171
Cerebrospinal fluid 0.819790 0.700608 0.887924 0.738782 0.603938 0.869243
Seminal fluid 0.782139 0.802020 0.763359 0.781496 0.565294 0.853547
Amniotic fluid 0.806870 0.839506 0.781965 0.790041 0.616044 0.893354
Tear fluid 0.800349 0.443730 0.933014 0.546535 0.446769 0.793570
Bronchoalveolar lavage fluid 0.832130 0.364865 0.949210 0.465517 0.395991 0.792717
Milk 0.766363 0.661253 0.824742 0.669014 0.488595 0.810696
Nipple aspirate fluid 0.787149 0.592342 0.895131 0.664981 0.520782 0.837818
Pleural effusion 0.824978 0.439560 0.946759 0.546697 0.467328 0.823116
Sputum 0.781225 0.759140 0.794192 0.719674 0.543051 0.849145

Note: The highest scores are in bold, and the lowest scores are underlined.