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Fig. 5 | BMC Infectious Diseases

Fig. 5

From: Combining metabolome and clinical indicators with machine learning provides some promising diagnostic markers to precisely detect smear-positive/negative pulmonary tuberculosis

Fig. 5

Confusion matrixes for discriminating SPPT, SNPT and controls with F4 set in the test sets. Confusion matrixes from left to right show the classification performance of SPPT/SNPT/Ctrl groups in the test sets using RF, SVM and MLP models, respectively. F4 set: 9-OxoODE, PGA, Val-Ser, Ethyl 3-hydroxybutyrate, MAA, Enterostatin human, DL-Norvaline, His-Pro and Eicosapentaenoic acid

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BMC Infectious Diseases

ISSN: 1471-2334

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