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Table 3 Performance metrics of the models based on independent test set

From: A clinical data-driven machine learning approach for predicting the effectiveness of piperacillin-tazobactam in treating lower respiratory tract infections

Model

Accuracy

Precision

Recall

F1 score

AUC

Log loss

LR

0.63

0.38

0.63

0.47

0.68

0.68

RF

0.64

0.40

0.68

0.50

0.69

0.65

SVM

0.61

0.37

0.68

0.48

0.68

0.66

GNB

0.52

0.32

0.71

0.44

0.65

1.17

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BMC Pulmonary Medicine

ISSN: 1471-2466

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