BMC Medical Informatics and Decision Making

Table 2 Experimental results of different classifiers

From: Interpretable machine-learning model for Predicting the Convalescent COVID-19 patients with pulmonary diffusing capacity impairment

Classifier	AUC	Accuracy	Recall	Precision	PPV	NPV	F1
GBDT	0.6787	0.7044	0.6787	0.6938	0.6429	0.5484	0.6764
KNN	0.6392	0.6487	0.6392	0.6378	0.5333	0.7000	0.6309
RandomForest	0.7011	0.7376	0.7011	0.7434	0.9000	0.6571	0.7009
SVC	0.7085	0.7358	0.7085	0.7224	0.6522	0.7273	0.7104
MLP	0.6912	0.7066	0.6912	0.6937	0.6923	0.7500	0.6872
XGBoost	0.7550	0.7801	0.7550	0.7755	0.7083	0.8095	0.7572

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ISSN: 1472-6947

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