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Table 5 Performance of different classifiers

From: Selection strategy for sedation depth in critically ill patients on mechanical ventilation

Classifier

Accuracy

Precision

Recall

F1-score

AUC

Logistic regression

0.7997

0.7625

0.6550

0.6771

0.7725

XGBoost

0.7870

0.7245

0.6574

0.6753

0.7464

Random forest

0.7921

0.7947

0.6130

0.6265

0.7684

Decision tree

0.7012

0.6168

0.6247

0.6200

0.6247

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BMC Medical Informatics and Decision Making

ISSN: 1472-6947

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