BMC Medical Informatics and Decision Making

Table 3 Model selection results for the seven machine learning methods

From: Machine learning-based prediction of fainting during blood donations using donor properties and weather data as features

	PPV	NPV	AUC	F1-score
All features
RF	*0.030*	0.998	0.88	0.89
ANN	0.028	0.998	0.86	0.86
XGB	0.026	0.998	0.88	0.87
ADA	0.028	0.998	*0.89*	0.87
LR	0.026	*0.999*	0.88	0.87
kNN	0.025	0.998	0.86	0.83
SVM	0.024	*0.999*	*0.89*	0.86

Bold italics indicate the best model for a given parameter
PPV positive predictive value, NPV negative predictive value, AUC area under the curve of the ROC analysis, ACC accuracy

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ISSN: 1472-6947

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