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Table 2 Independent test results of two ML algorithms (LightGBM, and RF) showing discrimination performances between P. falciparum-positive sera from P. falciparum-negative sera with P. falciparum-positive sera considered as positive category

From: MALDI-TOF mass spectrometry combined with machine learning algorithms to identify protein profiles related to malaria infection in human sera from Côte d’Ivoire

 

Accuracy

%

Sensitivity

%

Specificity

%

Error rate

%

PPV

%

NPV

%

F1-score

%

LightGBM

85.96

90.48

73.33

14.04

90.48

73.33

90.48

RF

89.47

92.86

80

10.53

92.86

80

92.86

  1. LightGBM: light gradient boosting model; RF: random forest; PPV: positive predictive values; NPV: negative predictive values
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Malaria Journal

ISSN: 1475-2875

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